bluuebunny/crossref_metadata_2025 huggingface dataset:
Saturation Transfer MRI in a Clinical Setting for Differentiating Radiation Necrosis from Tumour Progression in Brain Metastases
Authors: Chan Rachel , Mehrabian Hatef , Sahgal Arjun , Chen Hanbo , Theriault Aimee , Lam Wilfred , Myrehaug Sten , Tseng Chia-Lin , Husain Zain , Detsky Jay , Soliman Hany , Stanisz Greg
Published: August 2023

Stereotactic radiosurgery for brain metastases delivers a focal dose of radiation and has excellent local tumour control but leads to radiation necrosis (RN) in up to 22% of patients. This study used saturation transfer MRI for distinguishing between RN and tumour progression (TP), extending our previous work to a larger cohort of 70 patients (75 lesions). Eleven out of 14 metrics (including quantitative MT and CEST) showed statistically significant differences between the RN and TP cohorts, including magnetization transfer ratio (MTR) metrics showing the best separation. Univariable logistic regression resulted in the high-power MTR having the highest AUC=0.88 (with AIC=67.3).
Association and Prediction of Intracranial Plaque Characteristics and Hs-CRP Levels In Patients with Acute Cerebral Infarction
Authors: Li Rui-Ying , Zhao Deng-Ling , Zhao Xian-Ce
Published: August 2023

Atherosclerosis accompanied by inflammation is considered to be a crucial mechanism for patients with ischemic stroke. We aimed to investigate the association between intracranial plaque characteristics and high-sensitivity C-reactive protein (hs-CRP) levels to predict the occurrence of acute cerebral infarction (ACI). 85 patients with cerebral infarction were divided into ACI group and non-acute cerebral infarction (NACI) group. Hs-CRP levels were further grouped into low, intermediate and high groups. We concluded that elevated hs-CRP levels was independently associated with strong plaque enhancement, their synergistic effects provided incremental value in predicting the occurrence of acute cerebral infarction.
Detect the etiology of single small subcortical infarction with High Resolution-Vessel Wall Imaging
Authors: Han Tong , Li Yutian , Wang Hui , Li Jinli , Zhang Xianchang
Published: August 2023

This study used high resolution vessel wall imaging to investigate the lenticulostriate artery (LSA) morphology and plaque characteristics in three patient groups: single small subcortical infarction (SSI) with/without plaque on the parental artery, and large subcortical infarction with large artery atherosclerosis (LAA) as reference. SSI with plaque (SUD) on the parental artery manifested more like LAA, having relatively lower total CSVD score and lower number and total length of LSA branches. However, the plaques in SUD were mainly positive remodeling. These findings reinforce our understanding about the etiology of SSI with plaque on the parental artery.
A K-space based learning approach to head motion correction for 4D (3D+time) radial sequences
Authors: Evans Parker , Corum Curtis , Keller John , Magnotta Vincent , Jacob Mathews
Published: August 2023

A novel k-space learning based framework is introduced to compensate for bulk motion artifacts in UTE/ZTE radial acquisition schemes. The motion during the scan is modeled as rigid, and is parametrized by time varying translation and rotation parameters. The time varying parameters are used to define a forward model, which transforms the undistorted image to distorted k-t space data. The error between the measured and computed k-t space data is used to optimize the image and the deformation parameters using ADAM optimization. A multi-scale approach is used to minimize the computational complexity.
Coaxial Self-decoupled RF Coil
Authors: Chai Shuyang , Zhu Yue , Lu Ming , Gore John , Yan Xinqiang
Published: August 2023

Wearable RF coils are receiving increasing attention since they can improve patient comfort and maximize SNR. For wearable coil arrays, however, the geometrical relationships between coils may change when they are bent and/or stretched. This in turn may decrease the performance of conventional decoupling methods such as overlapping and L/C network, especially for transmit/receive coil where the preamp decoupling is not feasible. In this work, we proposed a novel coaxial self-decoupled coil that has robustness decoupling performance versus coil distance and coil shapes. High isolations of <-15 dB can be achieved when the coils are gapped, overlapped, and/or stretched.
Hairpin Radio Frequency Coil Array with High Inter-channel isolation for 7T Magnetic Resonance Imaging
Authors: Payne Komlan , Zhang Xiaoliang
Published: August 2023

The quest for ultimate intrinsic signal-to-noise ratio (uiSNR) and higher spatial resolution at ultra-high field for parallel magnetic resonance imaging is contingent to the integrity of the magnetic flux density map from individual channel. RF coils design using hair-pin matching technique is introduced to provide intrinsic decoupling performance within array of elements. This technique does not require any additional circuit between coil elements or large value of lumped inductance to provide simultaneous decoupling between adjacent and non-adjacent coils. The simulated results including decoupling performance, field distribution, and SNR are provided to validate the feasibility of the proposed design.
Iron and Myelin Content in Cortical Lesions in Multiple Sclerosis using Magnetic Susceptibility Source Separation
Authors: Müller Jannis , Lu Po-Jui , Shin Hyeong-Geol , Rahmanzadeh Reza , Tsagkas Charidimos , Barakovic Muhamed , Galbusera Riccardo , Yaldizli Özgür , Weigel Matthias , Wang Yi , Nguyen Thanh , Kuhle Jens , Lee Jongho , Granziera Cristina
Published: August 2023

The visualization and characterization of cortical MS lesions is challenging on conventional MRI. In the present study, we used a susceptibility source separation algorithm to divide the positive and negative susceptibility of quantitative susceptibility mapping (QSM) MRI, so that we could disentangle signal alterations due to myelin loss or iron accumulation. In 19 MS patient with 123 cortical lesions, we found that the major part of QSM susceptibility of cortical lesions is driven by myelin and iron loss, while only a small proportion of lesions (12/123, 9.8%) showed an increment of susceptibility that is caused by iron accumulation.
Blood-Brain Barrier Leakage in Patients with Alzheimer’s Disease and Dementia with Lewy Bodies
Authors: Xu Ziming , Chen Zhichao , Ma Lingyun , Wang Yajie , Wu Hao , Lu Hao , Ji Yong , Chen Huijun
Published: August 2023

Previous in vivo studies have shown that dysfunction of blood-brain barrier is highly associated with the process of Alzheimer’s disease (AD), but similar studies in dementia with Lewy bodies (DLB) have rarely been reported. In this study, for the first time, differences of BBB leakage among patients with AD, DLB and age-matched healthy control in different brain regions had been demonstrated, which may serve as one potential tool for diagnosis of different neurodegenerative diseases and contribute to our understanding of their pathophysiological basis.
White matter hyperintensities and brain volume changes in Cushing disease and related risk factors
Authors: Wu Yue , Wang Weiwei , Wu Shiman , Li Qing , Yao Zhenwei , Ma Zengyi
Published: August 2023

Cushing's disease(CD) has significantly more white matter hyperintensities and enlarged perivascular spaces, compare to same-aged healthy subjects. Age, diabetes, hypokalemia was significantly related with white matter hyperintensities in CD. The gray matter volume of CD patients was significantly smaller than the healthy subjects. Compared with patients with type 2 diabetes alone, the mean age of CD with diabetes were younger with shorter course of disease, but with more severe white matter damage. the severity of white matter hyperintensities were ranked as belowed: CD with type 2 diabetes, CD without type 2 diabetes, type 2 diabetes.
Feasibility of fractal analysis in the diagnosis of hypertrophic cardiomyopathy patients using strain analysis as reference
Authors: Zhang xin , Gong Lianggeng , Wen jingyang , Qian long , Liu Weiyin
Published: August 2023

Pathological changes vary in the morphology and function during the process of hypertrophic cardiomyopathy. In this study, we compared the diagnostic value of fractal analysis and tissue tracking on cardiovascular magnetic resonance images to characterize the trabecular complexity as myocardial strain alteration for HCM.
Clinical assessment of high spatial resolution myocardial T2-weighted dark blood imaging based on deep learning
Authors: Ran Lingping , Huang Lu , Yan Xianghu , Luo Yi , Zhang Shuheng , Zhang Shiyu , Zheng Yuan , Xu Jian , Xia Liming
Published: August 2023

High resolution T2-weighted dark blood (HR-T2W-DB) imaging is not always robust for clinical use because of low SNR and long scan time. The purpose of this study was to evaluate a novel deep learning (DL) based reconstruction method in T2W-DB sequence that achieves higher spatial resolution and same scan duration compared with traditional reconstruction method. Quantitative and qualitative image assessment demonstrated that DL based HR-T2W-DB sequence showed better CNR in region of edema and LV free wall visibility, which might help detecting myocardial edema.
Arterial spin labeling estimation of penumbral tissue in acute ischemic stroke
Authors: Lyu Jinhao , Lou Xin
Published: August 2023

Penumbral tissue identification is critical for the treatment decision for patients with acute ischemic stroke. In the present study, we aimed to assess the impact of arterial spin labeling (ASL) at different post-labeling delays (PLDs) in penumbral tissue quantification, and compare their performances in patients’ selection for endovascular treatment with dynamic susceptibility contrast as reference. The results showed ASL appears to persistently overestimate penumbral tissue in acute ischemic stroke. PLD shows substantial impact on quantification of hypoperfusion volume. Long PLD, 2500ms for example, is preferable in penumbral tissue detection and patients’ selection.
Clinical utility of intraoperative Arterial Spin Labeling for resection control in brain tumor surgeries, a 3T study.
Authors: Calvo-Imirizaldu Marta , Aramendia-Vidaurreta Verónica , Vidorreta Marta , García-Eulate Reyes , Echeverri Pablo Domingez , Pfeuffer Josef , Bejarano Bartolome , Gonzalez-Quarante Lain , Martinez-Simon Antonio , Fernández-Seara María
Published: August 2023

ASL has shown potential to depict residual tumor compared to anatomical imaging in previous intraoperative MRI (iMRI) study performed at 1.5T. However, the technique has not been evaluated at higher field, where field inhomogeneities could compromise the labeling efficiency. We aimed to assess feasibility and utility of iMRI-ASL at 3T. To that end, a PCASL sequence was evaluated in 10 patients. In one patient ASL depicted an additional high CBF focus indicating neovascularization (known to correlate with higher grade component) that wasn’t depicted in the anatomical images, favoring the use of ASL in the iMRI setting to achieve maximal resection.
High prediction accuracy for functional outcome of acute ischemic stroke using nomogram based on clinical factors and radiomics features
Authors: Zhou Yiran , Zhang Guiling , Zhu Wenzhen , Liu Weiyin
Published: August 2023

To develop a nomogram for accurate prediction of acute ischemic stroke (AIS) outcome, 522 AIS patients were retrospectively selected in this study. Radiomics features were extracted from DWI and ADC maps and radiomics score was established. Logistic regression analysis was implemented to sift independent clinical factors and construct prediction model. Finally, the nomogram incorporated age, sex, stroke history, diabetes, baseline modified Rankin Scale, baseline National Institutes of Health Stroke Scale score and radiomics score yield the great predictive performance with an AUC-ROC of 0.868 in training cohort and 0.890 in validation cohort, the AUC-PR reached 0.733 and 0.787 respectively.
MRI Radiomics approach for Identification of high-risk intracranial plaque basing on machine learning
Authors: Wei Haining , Wu Fang , Lu Jie , Li Rui
Published: August 2023

Intracranial atherosclerotic disease (ICAD) is one of the main causes of ischemic stroke. Increasing evidence supports that vulnerable plaque is correlated with risk for stroke, which reveals the importance of intracranial plaque risk identification. Radiomics is an automated and repeatable approach for extracting massive features for medical imaging. However, few articles have focused on radiomic-based studies of intracranial plaque of basilar artery and middle cerebral artery. In this study, we propose to build a high-risk intracranial plaque model using radiomics features and machine learning to differentiate symptomatic plaque from asymptomatic plaque, which is helpful in guiding clinical management.
Assessment of Cerebral Perfusion in Moyamoya Disease with Dynamic pCASL using a Variable-TR scheme with Optimized Background Suppression
Authors: Togao Osamu , Obara Makoto , Kikuchi Kazufumi , Wada Tatsuhiro , Tokunaga Chiaki , Mikayama Ryoji , Baba Shingo , Van Cauteren Marc , Hiwatashi Akio , Ishigami Kousei
Published: August 2023

The aim of the present study was to determine whether the dynamic pCASL using a variable-TR scheme with optimized background suppression is useful for assessing cerebral perfusion in patients with Moyamoya disease by comparing with 123I-IMP SPECT. ASL dynamic data at 10 time points are acquired by changing the label duration and post label delay. Significant correlations were found between SPECT-CBF and ASL-CBF and between arterial transit time (ATT) and cerebrovascular reactivity (CVR) to acetazolamide challenge on SPECT. ATT was significantly longer in areas where the CVR was decreased than in areas where the CVR was maintained.
Histogram-based analysis of perfusion features in oligodendrogliomas using multi-delay arterial spin labeling MR imaging: a preliminary study
Authors: Liang Huilou , Li Lianwang , Fang Shengyu , Wang Yinyan , Liang Yuchao , Yao Zeshan , An Jing , Zhuo Yan , Wang Lei , Zhang Lijuan , Wang Danny JJ , Xue Rong
Published: August 2023

The clinical treatment and prognosis of oligodendrogliomas are closely related to the histopathological grade. As a non-invasive and non-contrast perfusion imaging technique, arterial spin labeling (ASL) has been widely used in studies of glioma grading. The estimation of cerebral blood flow (CBF) in conventional single-delay ASL can be affected by the arterial transit time (ATT) effect. Here, multi-delay 3D ASL providing multiple hemodynamic parameters including ATT and ATT-corrected CBF was used to analyze the histogram-based perfusion features in oligodendrogliomas. Our results showed no difference in rCBF between WHO grade 2 and 3 oligodendrogliomas, but prolonged rATT in higher grade oligodendrogliomas.
Auto-calibrated Mutiband First-pass Perfusion Imaging with CS reconstruction in patients with suspect CAD at 3T MRI
Authors: Zou Lixian , Chen Jialing , Zheng Yuan , Ding Yu , Liu Yubao , Xu Jian , Zheng Hairong , Liu Xin
Published: August 2023

A whole heart perfusion imaging with auto-calibrated multiband CAIPIRINHA with through-time encoding and iterative reconstruction (tMB+CS-FPP) has been proposed to acquire multiple slices simultaneously without extra reference scans. The technique can achieve perfusion images with doubled anatomic coverage with identical spatial resolution. In this study, we compared the performance of the tMB+CS-FPP using different k-t undersampling patterns in a phantom study. And the proposed method was performed to the patients with suspect CAD and was compared to the conventional FPP.
Quantitative evaluation of cartilage damage in hemophiliac arthropathy using automatic segmentation of 3D high resolution MRI images
Authors: Li Jiajia , Wei Shufang , Zhang Xianchang , An Jing , Raithel Esther , Ge Yinghui
Published: August 2023

Hemophilic arthropathy (HA) is a serious complication of haemophilia, characterized by bone and cartilage damage due to recurrent joint bleeding. Existing evidence showed HA has a fast disease progression. MRI-based evaluation plays an important role in the detection, categorization and staging of soft tissue and osteochondral changes in HA, which is important for assessing and monitoring treatment outcomes. However, currently semi-quantitative scoring system based on conventional MRI images cannot give an objective assessment of knee cartilage damage. To this end, this study for the first time used an automatic segmentation algorithm to quantitatively evaluate the morphological change of knee cartilage in HA.
T2 map segmentation into the deep, intermediate, and superficial layers when staging of patellar cartilage chondromalacia
Authors: Voronkova Elena , Menshchikov Petr , Melnikov Ilya , Manzhurtsev Andrei , Ublinskii Maxim , Vorobyev Denis , Kupriyanov Dmitriy , Akhadov Tolib
Published: August 2023

This paper has demonstrated the benefits of segmentation into the deep, intermediate, and superficial layers in analysis of T2 maps of patellar cartilage with chondromalacia. In the deep and intermediate layers, the Т2 values were significantly different in all the patients groups, while the T2 values in the superficial layer did not depend on the disease grade. Compared with the whole cartilage assessment, this approach increased the sensitivity and specificity of chondromalacia staging by 17% and therefore can significantly increase the clinical efficiency of T2 mapping.
In vivo Feasibility of Three-Dimensional Simultaneous Quantitative T1-T2-T2* Mapping (SQUMA) for Knee Cartilage
Authors: Ma Renchi , Qiao Huiyu , Qiao Xinrong , Chen Huijun , Zhao Xihai , Zheng Zhuozhao
Published: August 2023

T1, T2, and T2* mapping provide valuable information for evaluating joint cartilage. However, few studies simultaneously quantified T1, T2, and T2* map to evaluate knee cartilage. In this study, a three-dimensional (3D) simultaneous quantitative T1-T2-T2* mapping (SQUMA) sequence is utilized in knee cartilage. Excellent correlation and good consistency in measuring T1, T2 and T2* values were found between 3D SQUMA sequence and referenced sequences in phantom studies. The T1, T2 and T2* values of knee cartilage were 949.90±82.59 ms, 36.85±2.25 ms and 27.89±5.74 ms, respectively, with good repeatability. 3D SQUMA sequence is feasible for in vivo evaluation of knee cartilage.
Can infrapatellar fat pad predict the incidence of knee osteoarthritis by using deep learning based on MRI? Data from osteoarthritis initiative
Authors: Yu Keyan , Zheng Chuanyang , Hu Jiaping , Zhong Lijie , Zhang Xiaodong , Dou Qi
Published: August 2023

Infrapatellar fat pad (IPFP) is an important risk factor for the incident of radiographic knee osteoarthritis (iROA)1, 2. However, the potential of being an independent biomarker to predict iROA is untapped. Deep learning (DL) is a set of algorithms that enable computers to discover complicated patterns in large data sets3. In this study, we train a DL model to predict iROA with auto-segmented IPFP, comparing it to the DL model set up with corresponding whole knee MR images (MRI). The results reveal that IPFP alteration can predict iROA independently comparably to the whole knee MRI at one year before iROA.
Application of MR diffusion tensor imaging (DTI) in acute anterior cruciate ligament (ACL) injury
Authors: Wang Xiaoxuan , Ma Xiaowen , Wei Xiaocheng , Li Haiyan
Published: August 2023

In this study, we aim to investigate whether DTI is superior to conventional MRI in evaluating acute ACL injury. It was concluded that the mean FA values is lower and the mean ADC values is higher in the ACL injury group than control group. The sensitivity, specificity, accuracy and Kappa value of DTI were higher than those of conventional MRI.
Periodic assessment of four horns of knee meniscus using MR T2mapping images in volunteers before and after amateur marathons
Authors: Jujia Li , Zhao Jian , Zhang Xuesong , Zhang Ping , Ren Congcong , Zeng Yan , Zhang Ranxu , Wang Ming , Zhou Xiaoyue
Published: August 2023

T2 mapping can evaluate the dynamic changes of the meniscal microstructure. The study was designed to evaluate the T2 values of the menisci of amateur marathon volunteers at three different timings. Compared with the T2 values of menisci one week before running, the values 12 h after running increased significantly (P <0.05), and the values 2 months after running did not change significantly (P > 0.05). The result suggests that marathons do not necessarily cause irreversible knee damage.
A Systematic Cartilage Surface Segmentation Method for Cartilage Thickness Mapping
Authors: Yao Yongcheng , Cahill Dόnal , Griffith James , Chen Weitian
Published: August 2023

Thickness mapping techniques are important in the management of osteoarthritis. Since most thickness mapping approaches require two surfaces as inputs, surface segmentation is important for articular cartilage thickness mapping. In this work, a systematic approach is proposed for automatic articular cartilage surface segmentation from a volume segmentation mask, which includes cartilage surface reconstruction, body surface construction, surface normal estimation, directional voxels searching, restricted surface dilation, and surface close operation. The proposed method can be used for reliable cartilage thickness mapping.
Denoising of 3D Fast Spin Echo Magnetic Resonance Images Using Convolutional Neural Networks with Rapid 2-NEX Acquisitions
Authors: ZHAO Shutian , XIAO Fan , LI Siyue , Cahill Dόnal G. , Griffith James F. , CHEN Weitian
Published: August 2023

We propose a deep learning denoising network with rapid 2-NEX acquisitions that can improve structure detail on rapid acquisition 3D FSE knee MR images. We investigated and compared this method to both conventional and deep learning methods. We demonstrated that this new method has the potential to suppress noise while improving structural detail on 3D FSE knee MR images.
Quantitative assessment of bone erosion in patients with rheumatoid arthritis using ZTE-MRI
Authors: Yu Xingyao , Liu Weiyin Vivian , Liu Chao , Chen Hu , Jiang Jingyu , Feng Qianqian , Xu Lin
Published: August 2023

MRI is reckoned as the most sensitive tool for monitoring changes such as synovitis and bone marrow edema at early stage of rheumatoid arthritis (RA)[1, 2]. Our results showed that ZTE-MRI can better precisely detect bone erosion compared with fs PD as well as DR and reflect RA degree via the volume percentage of bone erosion over carpal bone. Overall, ZTE-MRI could be an alternative to routine PDWI in clinic practice to help clinicians make better diagnosis without influenced by bone marrow edema, joint effusion and thickening of the synovial membrane and also offer articular function assessment as radiography.
Correlating Raised Intracranial Pressure with Increased ­Brain Motion in a Ovine Model
Authors: Little Alice , Kwon Eryn , Safaei Soroush , Talou Gonzalo Maso , Dubowitz David , Scadeng Miriam , Guild Sarah-Jane , Holdsworth Samantha
Published: August 2023

Heartbeat-driven brain motion has historically remained limited to the domain of research. Such motion may provide a window into conditions that alter the brain pressure where direct, invasive measurements are difficult to justify. Amplified MRI (aMRI) is a recently developed method which amplifies subtle brain motion, providing high temporal resolution and high contrast ‘videos’ of brain motion patterns. In an ovine model of elevated intracranial pressure we show preliminary data that aMRI can be used to detect changes in brain motion associated with pressure, indicating potential to provide non-invasive insight into the mechanical changes in patients with altered intracranial pressure.
Design and construction of a volume Tx coil and conformal Rx array for simultaneous squirrel monkey brain and spinal cord imaging at 9.4 T
Authors: Lu Ming , Yang Zhangyan , Wang Feng , Drake Gary , Chen Li Min , Gore John , Yan Xinqiang
Published: August 2023

Simultaneous imaging of brain and spinal cord regions potentially provides valuable information about how they work together and interact. However, to date, almost all studies have investigated these two highly interconnected systems separately, mainly because of a lack of adequate imaging coils. We designed a volume Tx and conformal receive array dedicated to simultaneous imaging of squirrel monkey brain and spinal cord at 9.4 T. The coil exhibits excellent SNR in both brain and spinal cord areas and can be used for studies investigating how the brain and spinal cord work together.
Detection of Early Cirrhosis by Means of Curvature Analysis of Liver Surface Nodularity in MRI
Authors: Nan Wang , Jisui Huang , Qingwei Song , Lihua Chen , Na Lei , Ailian Liu
Published: August 2023

The normal liver is affected by various pathogenic factors, resulting in liver fibrosis, progressive disease, false lobule formation and cirrhosis. Liver cirrhosis will be accompanied by morphological changes of liver. Literature studies have shown that liver surface nodularity can be used to evaluate the progress of liver cirrhosis and predict the stage of liver cirrhosis. The method of curvature analysis of liver surface nodules adopted by our team is feasible and can be used to evaluate early cirrhosis.
Radiomics Analysis of Multi-sequence MR Imaging for Staging Liver Fibrosis and Hepatitis Activity of Chronic Hepatitis B
Authors: HUANG Aina , LU Jian , ZHANG Tao , ZHANG Xueqin , LU Shuangshuang , ZHAO Xiance
Published: August 2023

Synopsis: The purpose of this study was to explore the evaluation value of liver fibrosis staging and hepatitis activity of chronic hepatitis B based on multi-sequence MRI radiomics model. Unenhanced T2WI, T1WI and Gd-EOB-DTPA enhanced T1WI, including AP, PP, TP and HBP, were acquired. And a multi-sequence MRI radiomics model were built. We used receiver operating characteristic (ROC) curves for the diagnostic performance of each sequence and the combination of these six sequences in the training set and validated with the validation set. The models combined with six sequences performed the best.
Radiomics Analysis Based on IVIM-DWI for Early Assessment of Transplanted Kidney Dysfunction
Authors: Liu Xiaodong , Chen Lihua , Shen Wen , Zhang Kun , Ji Xiaodong , Grimm Robert , Zhu Jinxia
Published: August 2023

This study investigated the feasibility of predicting early renal function impairment after renal transplantation based on an intravoxel incoherent motion imaging (IVIM)diffusion weighted imaging (DWI)radiomics model. For noninvasive detection of kidney function impairment at an early stage, IVIM-DWI applies a bi-exponential model to evaluate both capillary perfusion and tissue diffusion. The overall accuracy of the radiomics model was 79.3%, with 73.3% sensitivity and 85.7% specificity in distinguishing renal function impairment after renal transplantation. These results demonstrate the potential of a radiomics model for a reliable non-invasive diagnosis of renal transplant function.
Optogenetically-evoked Brain-wide Spindles Alleviate Associative Memory Dysfunction in Aging Animal
Authors: Wang Xunda , Leong Alex T. L. , Chong Pit Shan , Lim Lee-Wei , Wu Ed X.
Published: August 2023

Memory consolidation, the ability to transform new memory into long-term knowledge, declines with age. Impairment of thalamo-cortical spindle activities at systems level has been proposed as a mechanism underlying such memory dysfunction. However, it remains unknown whether targeted neuromodulation of spindle activities can arrest decline of memory consolidation functions in aging brains. Here, we demonstrate in an accelerated aging animal model that optogenetically-evoked spindle activities from the somatosensory thalamus alleviate associative memory consolidation dysfunction through potentiating brain-wide sensorimotor and limbic regions. Our work provides valuable insights into the therapeutic implications of targeted spindle manipulation to rescue age-related memory consolidation declines.
Reconstructing T2 Maps of the Brain from Highly Sparse k-Space Data with Generalized Series-Assisted Deep Learning
Authors: Liu Ruihao , Li Yudu , Meng Ziyu , Guan Yue , Ke Ziwen , Wang Tianyao , Li Yao , Du Yiping , Liang Zhi-Pei
Published: August 2023

Quantitative T2 maps of brain tissues are useful for diagnosis and characterization of a number of diseases, including neurodegenerative disorders. This work presents a new learning-based method for the reconstruction of T2 maps from highly sparse k-space data acquired in accelerated T2-mapping experiments. The proposed method synergistically integrates generalized series modeling with deep learning, which effectively captures the underlying signal structures of T2-weighted images with variable TEs and a priori information from prior scans (e.g., data from the Human Connectome Project). The proposed method has been validated using experimental data, producing improved brain T2 maps over the state-of-the-art methods.
Application of Compressed Sensing Technology in Rapid Lumbar Magnetic Resonance Imaging
Authors: Zhang Haonan , Song Qingwei , Liu Ailian , Hu Geli
Published: August 2023

Lumbar magnetic resonance imaging has a significant diagnostic value for spine lesions. Reducing scan time is critical to improve patient compliance and comfort. The purpose of this study aims to introduce a combination of compressed-sensing and parallel imaging for high acceleration and motion artifact reduction for the lumbar spine MRI, and to determine an optimal acceleration factor, meanwhile, provide high quality images .
Spin-Echo Revisited: Improved Visualization of Accelerated T2W Spin-Echo Spiral Imaging with Compressed Sensing with SENSE (CS-Spiral)
Authors: Morita Kosuke , Yoneyama Masami , Hamano Hiroshi , Fukuda Shogo , Uetani Hiroyuki , Sasao Akira , Nakaura Takeshi , Oda Seitaro , Hatemura Masahiro , Hirai Toshinori
Published: August 2023

CS-Spiral T2WI was good image quality for midbrain. We used 3 sequences; CS-Spiral, conventional-Turbo Spine Echo and neuromelanin image for six healthy volunteers. In this study, we used Compressed Sensing with Sensitivity Encoding (CS-Spiral) technology for SPIRAL acquisition to perform midbrain T2WI for neurodegenerative diseases with clinically usefulness acquisition time. It is expected that parameter settings will provide more clinically useful image quality.
Metabolic timecourse of healthy aging
Authors: Gong Tao , Hui Steve , Zöllner Helge , Britton Mark , Song Yulu , Gudmundson Aaron , Hupfeld Kathleen , Porges Eric , Oeltzschner Georg , Chen Weibo , Wang Guangbin , Edden Richard
Published: August 2023

The metabolic timecourse of healthy aging is not well-established, in part due to diversity of quantification methodology. This study recruited a large structured cross-sectional cohort throughout adulthood to investigate metabolic changes as a function of age, and applied consensus-recommended quantification methods. Positive age correlations in tCho, tCr, and mI were observed for CSO and PCC, while none was found for tNAA, Glu or Glx in either region. PCC GABA decreased with age, CSO Scyllo increased, and we observed higher PCC Scyllo for female subjects. Our results establish a metabolic timecourse of healthy aging, as a normative foundation for future work.
Quantitative magnetic resonance imaging in gadolinium deposition in rat brain
Authors: wang xucong , chen bing , li jian , wang zhen hua , Wei Xiaocheng
Published: August 2023

To investigate the application of quantitative magnetic resonance imaging in the quantitative measurement of gadolinium deposition in the deep cerebellar nucleus (DCN) of rats.The absolute correlation coefficients between DCN T1 value and DCN gadolinium concentration, and DCN/ cerebrar cortex T1WI signal intensity ratio and DCN gadolinium concentration were 0.925 (P<0.001) and 0.849 (P<0.001).These results suggest that quantitative magnetic resonance imaging has a good expression of T1 relaxation time in the dentate nucleus region of cerebellum, which provides a basis for quantitative magnetic resonance estimation of clinical gadolinium deposition.
A self-supervised deep learning approach for quantitative susceptibility mapping without ground truth labels
Authors: Zhang Ming , Feng Jie , Wei Hongjiang
Published: August 2023

Supervised deep learning methods for QSM reconstruction from tissue phase mainly rely on the ground truth susceptibility maps for training, which are not available for QSM. To address this issue, we propose a self-supervised deep learning method, TKD2TKD, for susceptibility reconstruction using artifact-contaminated TKD-TKD pairs acquired at different head orientations of one subject. The primary motivation of TKD2TKD is that the average of the network gradients by feeding TKD pairs will converge to the true gradient of that trained with high-quality averaged TKD images. The preliminary results suggested that TKD2TKD performed well in QSM reconstruction with improved susceptibility quantification accuracy.
A patient-friendly audiovisual MR system reduce adverse reaction to contrast agents
Authors: Nitta Keisuke , Tominaga Chiaki , Matsumoto Koji , Yokota Hajime , Masuda Yoshitada , Uno Takashi
Published: August 2023

Patient anxiety could be a risk factor for adverse reaction to contrast agents. We hypothesized that a patient-friendly audiovisual system in the MR scanner room had a relaxing effect on patients and the occurrence of adverse reactions. As a result, the patient-friendly audiovisual system compared to the standard system reduced contrast agents reaction. Thus, this system may reduce adverse reaction in patients by providing a more patient-centered MRI examination environment.
An efficient approach for fast signal computation of restricted diffusion with arbitrary gradient waveforms
Authors: Shi Diwei , Li Sisi , Chen Li , Zheng Quanshui , Guo Hua , Xu Junzhong
Published: August 2023

Quantitative microstructural imaging based on diffusion MRI usually replies on some simple gradient waveforms, with which analytical expressions can be derived e.g., for fitting cell size. However, it is challenging for this approach for modified irregular gradient waveforms that are increasingly used. Inspired by Callaghan’s matrix formalism, we propose an efficient approach for signal computation with arbitrary gradient waveforms. It can accelerate computation by three orders of magnitude with maintained accuracy, making it feasible in practical data fittings. This work paves the way for quantitative microstructural imaging with arbitrary diffusion gradient waveforms in practice.
Cardiac MRF Using Rosette Trajectories for Simultaneous Myocardial T1, T2, and Proton Density Fat Fraction Mapping
Authors: Liu Yuchi , Hamilton Jesse , Jiang Yun , Seiberlich Nicole
Published: August 2023

This work aims to extend rosette cardiac MRF to enable simultaneous myocardial T1, T2, and PDFF mapping from a single scan. The accuracy of rosette cMRF in T1, T2, and PDFF quantification is validated in the ISMRM/NIST system phantom and an in-house built fat fraction phantom, respectively. Studies in healthy subjects show that rosette cMRF potentially enables more accurate T1 and T2 measurements than spiral cMRF in the myocardium due to reduced fat contamination.
Development of a Prospectively Motion Corrected Free-breathing FLASH Sequence
Authors: Harris Graeme , Jermy Stephen , Meintjes Ernesta
Published: August 2023

Respiratory motion of the heart is a fundamental challenge to cardiac MR imaging (CMR), frequently compensated for with breath-holding and acceptance-window methods. These methods are not always viable and result in inefficient acquisitions, creating longer scan times1. Here, an adaptive Kalman-filter with a control system was implemented in a FLASH sequence to update the position of the slice during the imaging segment based on repeated navigator measurements acquired during the non-imaging segment. This predictive tracking results in a free-breathing sequence which is less strenuous for subjects, more efficient and reduces scan times.
Pulmonary proton density mapping and cardiac 31P MRS suggest an energetic basis for exercise-induced pulmonary congestion in HFpEF
Authors: Miller Jack , Burrage Matthew , Hundertmark Moritz , Valkovič Ladislav , Watson William , Rayner Jennifer , Sabharwal Nikant , Ferreira Vanessa , Neubauer Stefan , Rider Oliver , Lewis Andrew
Published: August 2023

We show in 43 patients with 31P MRS, 1H CMR and a novel proton-density mapping sequence that a gradient of myocardial energetic impairment exists across a spectrum of HFpEF phenotypes of increasing clinical severity and worsening diastolic function. A greater degree of myocardial energetic deficit is linked to impaired LV systolic and diastolic functional reserve, to altered RV reserve and RV-PA coupling, and to exercise-induced pulmonary congestion assessed using novel proton density magnetic resonance imaging. A subgroup of HFpEF patients demonstrate transient pulmonary congestion during exercise which can be non-invasively assessed using exercise CMR and proton density mapping.
AVA Diagnostics - multimodality computer assisted aneurysm management tool
Authors: Bizjak Žiga , Chien Aichi , FAHA  , Kos Erazem , Špiclin Žiga
Published: August 2023

Management of (un)ruptured intracranial aneurysms (IAs) through early detection and continuous rupture risk assessment is becoming an integral part of IA treatment. This study showcases the capabilities of AVA Diagnostics tool and its IA workflow including automatic vessel segmentation, detection and isolation, morphologic quantification, future growth prediction and follow-up morphologic analysis. Each of the tools was successfully validated on multimodal MRA, CTA and 3D-DSA scans. The AVA Diagnostics thus aims to simplify the management of IAs through extensive use of computer-assisted image analysis and analytics tools, and enable their application in large-scale studies and in regular clinical workflow.
A versatile framework for chemical species separation in Dixon MR Fingerprinting
Authors: Moquillaza Elizabeth Huaroc , Baumann Manuel , Weiss Kilian , Amthor Thomas , Koken Peter , Schwaiger Benedikt , Makowski Markus , Doneva Mariya , Karampinos Dimitrios
Published: August 2023

Dixon Magnetic Resonance Fingerprinting (Dixon-MRF) is being increasingly used to measure multiple quantitative parameters with effective fat suppression across body tissues. Dixon-MRF processing is typically performed in two steps: water-fat separation and dictionary matching. The present work introduces a versatile formulation for chemical species separation in Dixon-MRF (CSS-MRF) which allows to process a multi-echo fingerprint in a single step obtaining a water fingerprint, a fat fingerprint, a B0 value and a R2* value as outputs. CSS-MRF allows an easy and flexible definition of the parameters to be estimated and enables the option of a varying fat spectrum across the MRF-dimension.
Accelerated MR screenings with direct k-space classification
Authors: Singhal Raghav , Sudarshan Mukund , Ginocchio Luke , Tong Angela , Chandarana Hersh , Sodickson Daniel , Ranganath Rajesh , Chopra Sumit
Published: August 2023

Despite its rich clinical information content, MR has seen limited adoption in population-level screenings, due to concerns about specificity combined with high scan duration and cost. In order to begin to address such issues, and to accelerate the entire pipeline from data acquisition to diagnosis, we introduce ARMS, an algorithm that learns k-space undersampling patterns to maximize the accuracy of pathology detection. ARMS detects pathologies directly from undersampled k-space data, bypassing explicit image reconstruction. We use ARMS to detect clinically significant prostate cancer and knee abnormalities in 2D MR scans, achieving an acceleration of 12.5x without compromising accuracy.
A 3D-FiLM-cGAN Architecture for the Synthesis of Cerebral Blood Flow Maps
Authors: Stritt Michael , Günther Matthias , Gregori Johannes , Mensing Daniel , Mutsaerts Henk-Jan , Eickel Klaus
Published: August 2023

The presented neural network with 3D-FiLM-cGAN architecture synthesizes cerebral blood flow maps from T1-weighted input images. Acquisition- and subject-specific metadata such as sex, arterial spin labeling (ASL) method and readout techniques were fed into the neural network as auxiliary input. The multi-vendor database including different ASL sequence types was created from ADNI data which were preprocessed in ExploreASL and transformed to MNI standard space. A subset of data from a single vendor (GE) were used for supervised training exemplarily and compared to CBF from acquired ASL data.
Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)
Authors: Sarasaen Chompunuch , Chatterjee Soumick , Rose Georg , Nürnberger Andreas , Speck Oliver
Published: August 2023

Cartesian sampling techniques are available to speed up the measurement of dynamic MRI, such as k-t GRAPPA. However, radial samplings, such as iGRASP, are more robust to motion and can be applied for abdominal dynamic MRI. In this work, k-t GRAPPA inspired iGRASP has been created (so-called k-t GRASP)–which acquires the subsequent time points by starting the initial spoke of the time point with an angle with the last spoke of the previous time point, and extended by super-resolution reconstruction of dynamic abdominal MRI using DDoS-UNet. The method was evaluated in 3D dynamic data of four subjects with retrospective undersampling.
Low-field Magnetic Resonance Imaging with MaRCoS
Authors: Negnevitsky Vlad , Menküc Benjamin , O'Reilly Thomas , Algarín José Miguel , Guallart Teresa , Pellicer-Guridi Rubén , Vives-Gilabert Yolanda , Craven-Brightman Lincoln , Stockmann Jason , Schote David , Prier Marcus , Witzel Thomas , Webb Andrew , Alonso Joseba
Published: August 2023

In recent years, low-field scanners have proven their potential for clinical, preclinical, research and teaching applications. However, a critical milestone is yet to be achieved on the path to affordable, high-performance MRI systems: the availability of an inexpensive, versatile electronic control system (MR console), competitive with commercial spectrometers, but without dramatically increasing the overall scanner cost. In this work we show the status of MaRCoS (MAgnetic Resonance COntrol System), an open-source MR console and software package with powerful features, that offers higher versatility than many commercial spectrometers, and show its use in several MR setups, including in vivo acquisitions.
Analysing the Influence of an Actively Detuned 64-channel Receive Array on SAR
Authors: Mcelhinney Paul , Gunamony Shajan
Published: August 2023

We have generated a numerical model of a 64-channel receive array at 7T and analysed its influence on SAR on an 8-channel transmit array. Simulations were conducted using a finite integration technique in CST Microwave Studio to create a model of the combined Tx/Rx system on both our phantom and the Duke human body model. Each receive element was actively detuned and implemented within our 8 channel transmit array model to provide us with an improved model from which we found that there was a negligible effect on the B1+ field and a reduction in the SAR of ~20%.
MRI Gradient Induced Device Heating of Leadless Pacemakers
Authors: Childers Michael , Sethna Dorab , Chen Vick , Sison Shiloh
Published: August 2023

Simulations and benchtop testing were performed to assess potential gradient induced device heating of leadless pacemakers. Results of the evaluation showed leadless pacemakers sized objects, made from commonly used conductive materials, heated less than 1°C when exposed to the gradient induced device heating safety test conditions per ISO/TS 10974. In general, a temperature rise less than 2°C is considered to be clinically insignificant. As such, the risk of leadless pacemaker gradient induced device heating is negligible and assessments for this hazard per ISO/TS 10974 may not be necessary.
QSM as a Potential Treatment Efficacy Indicator for MR-HIFU-mediated Histotripsy
Authors: Lindemeyer Johannes , Sebeke Lukas , Partanen Ari , Haas Christian , Grüll Holger
Published: August 2023

High intensity focused ultrasound-mediated histotripsy is a modality for targeted, non-invasive interventions. As temperature changes detected by MR-thermometry are not directly related to histotripsy treatment success, we propose quantitative susceptibility mapping (QSM) to evaluate and monitor treatment efficacy. Fresh porcine heart muscle tissue was sonicated using a clinical MR-HIFU system. Herein, we demonstrate the successful visualization of histotripsy-induced lesions by QSM.
Improvement of Accuracy and Stability of Oxygen Extraction Fraction Measurements by Using Triple-Echo Asymmetric Spin Echo Sequence
Authors: Shen Jian , Wood John
Published: August 2023

Asymmetric Spin Echo (ASE) is a popular technique to obtain quantitative estimates of R2’, cerebral venous blood volume (vCBV), and oxygen extraction fraction (OEF) noninvasively in normal subjects. In this study, We demonstrated the feasibility of using Triple-Echo ASE to induce a more stable and accurate vCBV and OEF estimates with no increase in scan time. In addition, this study investigated the role of diffusion in ASE measurements and provided insights into future acquisition approaches.
Enhancing linguistic research through 2-mm isotropic 3D dynamic speech magnetic resonance imaging
Authors: Jin Riwei , Sutton Brad , Shosted Ryan , Woo Jonghye , Xing Fangxu , Perry Jamie , Gilbert Imani , Liang Zhipei
Published: August 2023

We are able to push the spatial resolution of dynamic speech magnetic resonance imaging to 2-mm near-isotropic level with 64 mm coverage of 32 3D slice locations that are spaced 2-mm apart with 35 fps. We choose to analyze lingual differences of American English voiced lateral [l] and (central) [t]. Several analysing methods are utilized such as magnitude comparison, t-test and deformation map comparison. The results give us detailed observations of lingual articulatory differences such as tongue grooving, twisting and coarticulation. Through this high spatial and temporal resolution, we demonstrate that this method will show great potentials on linguistic research.
Dynamic Contrast Enhanced (DCE) MRI of the Abdominal Aortic Aneurysm (AAA) Wall
Authors: Zhou Ang , Dong Huiming , Leach Joseph , Zhu Chengcheng , Saloner David , Hope Michael , Mitsouras Dimitrios
Published: August 2023

Abdominal Aortic Aneurysms (AAAs) are common in older men. Guidelines recommend repair at an aneurysm diameter greater than 5.5 cm, but some smaller aneurysms experience catastrophic rupture. Aneurysm features beyond diameter have been explored as markers of disease progression. We used DCE MRI to explore the inhomogeneity of contrast kinetics, including Ktrans, in the aneurysm wall and assess if these markers independently predict AAA progression. Significant differences in DCE metrics were identified around the AAA circumference. Area under enhancement-time curve and enhancement slope correlated with growth rate but not diameter, suggesting that DCE may provide diameter-independent information regarding AAA risk.
Accelerating 5D Whole-Heart MRA Reconstruction Using a Limited Number of Cardiac and Respiratory Frames
Authors: Yang Yitong , Hair Jackson , Yerly Jerome , Piccini Davide , Stuber Matthias , Oshinski John
Published: August 2023

Under-sampled reconstruction of retrospectively gated 5D free-running acquisition is time-consuming and computationally intensive. In this work, a limited reconstruction method is proposed which provides an efficient way to compute a static cardiac volume from free-breathing, ECG-free 5D free-running CMR acquisitions. Structural similarity index measure is used to compare the limited reconstructions with the fully reconstructed image at the physiologic state of interest. The proposed limited reconstruction method achieves a SSIM of 0.9 using only 22% of the full reconstruction time and an SSIM of 0.95 using 44% of the full reconstruction.