bluuebunny/crossref_metadata_2025 huggingface dataset:
CEST MR Fingerprinting for In Vivo Bilateral Breast Imaging
Authors: Martinez Jessica , Sutton Elizabeth , Otazo Ricardo , Cohen Ouri
Published: November 2024

Motivation: To enable quantitative CEST and MT maps in breast tissue for potential tumor characterization. Goal(s): To explore the feasibility of simultaneously obtaining T1, T2, CEST and MT maps in breast tissue. Approach: A CEST-MRF pulse sequence was used to measure the amide and semi-solid exchange rate and volume fractions. Quantitative maps were obtained using a neural network trained on physics-derived signals. Results: The proposed approach yields water T1 and T2 relaxation maps, amide exchange and volume fraction maps, and semi-solid exchange and volume fraction maps in the breast in a scan time of less than 2 minutes. Impact: Comprehensive quantitative T1, T2, amide CEST and MT bilateral breast imaging in under 2 minutes can improve the detection and characterization of breast cancer and the response to treatment in a clinical setting without the use of a contrast agent.
Predicting Interstitial Fluid Pressure and Velocity in Breast Cancer with NAC using DCE-MRI and Pharmacokinetic-Fluid Flow Modeling
Authors: Bhowmik Arka , Thakur Sunitha , Schultz Olivia , Giri Dilip , Pinker Katja , Eskreis-Winkler Sarah
Published: November 2024

Motivation: Elevated interstitial fluid pressure (IFP) or reduction in velocity (IFV) in breast cancer patients has been shown to contribute to treatment resistance, but its measurement is impractical in clinical practice. Goal(s): Our goal is to map IFP and IFV from DCE breast MRI and to evaluate its association with treatment response. Approach: We developed pharmacokinetic-fluid flow models to evaluate its association between IFP, IFV and neoadjuvant chemotherapy (NAC) responses. Results: We observed small differences in IFP and IVF between NAC treatment cohorts. Initial data based on pre-NAC DCE-breast MRI suggest a potential for early prediction of treatment response of primary tumors. Impact: Non-invasive pharmacokinetic and computational fluid dynamics modeling in breast DCE-MRI can provide information of tumor IFP and IFV. This approach has the potential to serve as a valuable non-invasive clinical tool for predicting early treatment response.
The clinical value of SWI at 5.0 T ultra‑high field MRI in HCC with Venous System Tumor Thrombosis
Authors: Li Shaopeng , Jin Chuyue , Deng Kexue , XIE Yiju , YIN Dawei
Published: November 2024

Motivation: Looking for an economical and convenient magnetic resonance imaging technique to detect whether hepatocellular carcinoma is complicated with venous tumor thrombi. Goal(s): Using a 5.0T ultra-high field MRI imaging sequence to detect the presence of cancer thrombi in HCC patients without the use of contrast agents. Approach: Statistical analysis of the accuracy of magnetic sensitivity weighted imaging (SWI) in the diagnosis of cancer thrombi using enhanced scanning as the diagnostic criteria. Results: SWI has high diagnostic accuracy for cancer thrombi without the use of contrast agents. Impact: Whether HCC with thrombi is crucial for determining clinical treatment plans. Some patients may not be able to use contrast agents, and the cost of contrast agents is high. SWI can effectively display tumor thrombi, and can reduce patient costs.
A deep learning-based approach for automatic myocardial T1 map analysis
Authors: Dai Jiahuan , Wang Ancong , Fan Yingwei , Li Yafeng , Jin Yongsheng , Ding Haiyan , Tang Xiaoying , Guo Rui
Published: November 2024

Motivation: In cardiovascular magnetic resonance, T1 analysis is generally completed in a manual manner, which is a labor-intensive and time-consuming procedure and could be automated by deep-learning algorithms. Goal(s): This study aims to develop a deep learning-based technique for directly analyzing T1 for a T1 map. Approach: We built a cascaded neural network to predict T1 of the left-ventricle myocardium, septum, blood, and AHA segments and generate LV mask to improve performance. Results: The automatic T1 analysis performed by the proposed approach had good agreement with manual analysis. The mean difference was ~10 ms. Impact: The proposed approach could automatically estimate the left ventricle, septum, and blood T1. Along with automatic motion correction and T1 calculation algorithms, the proposed approach could further simplify and improve the automatization of the workflow of myocardial T1 mapping examination.
Characristics of left ventricular T1 mapping and left atrial strain for distinguishing myocardial amyloidosis and hypertrophic cardiomyopathy
Authors: Shen Honghu , Lian Jianxiu , Zhu Xinyu , Wang Lin , Liu Pengfei
Published: November 2024

Motivation: Left ventricular hypertrophy（LVH）is a common manifestation of many cardiac diseases, including myocardial amyloidosis (CA), hypertrophic cardiomyopathy (HCM), among others. Clinical diagnosis of the etiology of LVH has some difficultiesGoal(s): Differences in myocardial T1 values and left atrial strain between CA and HCM patients remain unclearApproach: In this study, T1mapping and feature tracking based on left atrial were applied to identify CA and HCMResults: Results illustrated that T1 values and left atrial strain were significantly different between CA and HCM. T1 mapping combined with left atrial reservoir function (Εs) could effectively distinguish CA from HCM. Impact: T1mapping and feature tracking techniques, as emerging imaging techniques in cardiac magnetic resonance(CMR) in recent years, have been widely used in the study of various myocardial diseases because they do not require the injection of contrast agents.
The prediction value of CMR first-pass perfusion parameters for left ventricular reverse remodeling in dilated cardiomyopathy
Authors: Kan Ao , Gong Lianggeng , Dai Jiankun , Shi Jie
Published: November 2024

Motivation: CMR first-pass-perfusion imaging (FPI) had revealed coronary microvascular dysfunction (CMD) in dilated cardiomyopathy (DCM). However, it’s unknown if FPI could predict left ventricular reverse remodeling (LVRR) in DCM. Goal(s): Investigating the value of FPI parameters for predicting LVRR. Approach: 94 DCM patients and 35 healthy controls were enrolled. FPI as well as the left ventricular structure, function and late gadolinium enhancement (LGE) parameters were analyzed. Results: FPI showed more serious CMD in non-LVRR than LVRR. Timemax of FPI as well as left ventricular remodeling index and LGE extent were independent predictors. Impact: This study firstly showed the role of FPI in predicting LVRR in DCM.
Quantitative, time-efficient viability CMR with delayed phase dynamic contrast-enhanced (dDCE) MRI
Authors: Huang Li-Ting , Zhang Xinheng , Li Xinqi , Malagi Archana , Huang Yuheng , Guan Xinming , Yoosefian Ghazal , Ho Hao , Kwan Alan , Christodoulou Anthony , Li Debiao , Han Hui , Liu Yen-Wen , Dharmakumar Rohan , Yang Hsin-jung
Published: November 2024

Motivation: Late gadolinium enhancement (LGE) CMR‘s wider clinical adoption is hindered by its prolonged wait time and imaging protocol dependence. Goal(s): Develop a delayed dynamic contrast enhancement (dDCE) model to shorten the LGE wait time and provide a quantitative characterization of the myocardium contrast washout process. Approach: Dynamic T1 maps were acquired in the contrast washout period in dogs with myocardial infarctions. dDCE maps and synthesized LGE images were derived from data collected within 5-minute post-contrast injection. Results: The 5-minute dDCE maps provide physiologically reasonable measurements and comparable myocardial viability assessment ability to standard LGE images. Impact: The shortened LGE wait time from the quantitative dDCE maps may benefit patients unable to tolerate long CMR examination time and open new dimensions for quantitative myocardium viability assessment.
Myocardial perfusion measurements with a deep learning-assisted cardiac arterial spin labeling (DeepCASL): towards validation by microsphere
Authors: Li Ran , Zheng Jie
Published: November 2024

Motivation: Cardiac arterial spin labeling (ASL) method is sensitive to noise (system and physiology), which may lead to inaccurate MBF measurement. Goal(s): A cardiac MRI arterial spin labeling method was developed with assistance of a deep learning networks (DeepCASL) to improve image quality and measurement accuracy. Approach: The performance of the DeepCASL method was evaluated in a canine model of coronary arterial disease by comparing and correlating with MBF determined by microsphere measurements. Results: The validation study revealed moderate to strong correlations in absolute myocardial blood flow values between MRI and microsphere reference methods. Impact: This new DeepCASL technique opens a door for clinical applications of noncontrast cardiac perfusion as a screen tool for reliable diagnosis of perfusion deficit in a variety of cardiomyopathy disorders.
DCE-MRI and Micro-CT Integration for Evaluating Changes in Endothelial Progenitor Cell Function and Bone Microstructure in Diabetic Rabbits
Authors: cai fei , zha yunfei , Liu Weiyin
Published: November 2024

Motivation: By investigating changes in bone marrow microvascular permeability and bone microstructure, we can explore the key pathological and physiological mechanisms underlying impaired vascular repair in diabetesGoal(s): To assess the functional changes in endothelial progenitor cells (EPCs) and alterations in bone microstructure in rabbits with severe limb ischemia complicated by diabetes mellitus using DCE-MRI and micro Micro-CTApproach: 30 healthy male New Zealand white rabbits underwent sagittal MR imaging of the femoral bone proximal coronal plane at fixed time pointsResults: DCE-MRI combined with Micro-CT quantitative parameters is feasible to evaluate endothelial progenitor cell function and changes in bone microstructure in diabetes mellitusImpact: The results of this study will provide a new perspective on the pathological and physiological mechanisms underlying bone marrow changes in diabetic patients with concurrent critical limb ischemia.
Long-T2- and Fat-Suppressed Cortical Bones Imaging by Using Quiet MRI PETRA Sequence
Authors: Wang Yulin , Zhang Jichang , Zeng Jie , Zhu Yuliang , Ke Shiying , Niu Shengyang , Lin Lili , Yao Chendie , Wang Chengbo
Published: November 2024

Motivation: Visualizing cortical bone with short T2 value is challenging since long-T2 tissues and fat usually obscure it. Goal(s): This study develops a new long-T2- and lipidic tissue-suppressed sequence with silent acoustic noise to improve patient scanning comfort. Approach: We use an AFP inversion RF with controlled timing to maintain the long-T2 components at a low level and optimize the sequence parameters to null the fat signal. Results: We apply the PETRA to reduce the SPL to only 1.9 dBA higher than the background. The head cortical bone structure can be successfully visualized with positive contrast. Impact: The designed silent long-T2 tissue-suppressed PETRA sequence can be potentially useful for investigating the newborns bone development, which can decrease neonatal hearing injury risks and might be helpful for early-age skeletal maturation assessment.
Initial clinical experience of mineral bone imaging using a ZTE sequence reconstructed with Deep-Learning and Chemical Shift Correction (DLCSC)
Authors: Poujol Julie , Zan Deniz , Mandava Sagar , Fung Maggie , Lecouvet Frederic E.
Published: November 2024

Motivation: Bone MRI using ZTE has the potential to provide clinically relevant information on mineral bone but its routine use remains limited by its low SNR and chemical shift artifacts especially at 3.0TGoal(s): We evaluated the impact of a deep learning reconstructions for ZTE which performs denoising, improves resolution and minimizes chemical shift artifacts (DLCSC). Approach: ZTE sequences prospectively obtained in 10 patients were reconstructed with the DLCSC algorithm. Native and processed images were compared for their performance to detect bone lesions, taking CT as gold standard. Results: DLCSC increased image quality and significantly improved bone lesion detection compared to native ZTE images. Impact: DLCSC reconstruction overcomes the pitfalls of the ZTE sequence (low SNR and chemical shift artifacts) and improves its diagnostic performance. A complete study of the skeleton, including mineral bone assessment, becomes possible within a single MRI examination.
Advancing pediatric quantitative MSK through tailored denoising of routine acquisitions developed on an piglet model of LCPD
Authors: Parvaze Suhail , Buko Erick , Moeller Steen , Johnson Casey
Published: November 2024

Motivation: Denoising algorithms may significantly improve the SNR of relaxation time maps of the bone and cartilage. Goal(s): To compare the performance of T-NORDIC and MPPCA denoising techniques for 3D T2 mapping of the femoral head. Approach: 3D T2 maps of the femoral heads from 12 piglets imaged at 3T MRI were denoised using MPPCA and T-NORDIC with parametric dimensions of 4 and 12. The results of qualitatively and quantitatively compared for image quality and quantitative accuracy. Results: T-NORDIC provided superior performance with limited parametric dimension (4 weighted images), demonstrating its promise for magnetization-prepared mapping sequences of the hip joint. Impact: T2 relaxation time mapping is critically investigated for addressing several MSK related diagnosis, but possibly due to thin and sensitive structures in the femoral head even slightest of the perturbations can lead to ineffective computation of quantitative mapping.
Calf muscle compartmental T1, T2, T1ρ, and Fat Fraction associations with Muscle Function in Patients with Heart Failure
Authors: Eck Brendan , Province Valesha , Tilve Ria , Engelman Timothy , Wilson Tang W. H. , Li Xiaojuan
Published: November 2024

Motivation: Skeletal muscle degeneration (sarcopenia) is more prevalent in patients with heart failure (HF) than the general population and is associated with worsened outcomes. However, HF-associated muscle degeneration remains incompletely understood. Goal(s): To evaluate quantitative MRI in calf muscle compartments of HF patients and to investigate associations with function and overall condition. Approach: Relaxometric (T1/T2/T1ρ) and proton density fat fraction (PDFF) measures were obtained in calf muscle compartments of patients with HF. Functional and survey measures were obtained. Correlation analyses between all measures were performed. Results: Relaxometry and PDFF correlated with muscle function but differed by muscle compartment, suggesting heterogeneous changes as function declines. Impact: Quantitative MRI, including relaxometry and fat fraction as complementary measures, may detect muscle compartmental changes in heart failure associated sarcopenia. Characterization of degradation in patients’ specific muscle compartments may provide insight to the degenerative process and targets for intervention.
MRI changes of lumbar vertebrae and paraspinal muscles predict vertebral fractures in patients with type 2 diabetes
Authors: Cun Hanxue , Huang Yilong , Nie Lisha , He Bo
Published: November 2024

Motivation: Patients with T2DM are at an increased risk of vertebral fractures, but the specific risk factors remain unclear. Goal(s): Investigate the correlation between changes in lumbar vertebrae and paravertebral muscles observed through MRI and the occurrence and severity of vertebral fractures in T2DM patients. Approach: Retrospectively collect general information and lumbar spine MRI images of patients diagnosed with T2DM. Develop a diagnostic model based on MRI vertebral body and paravertebral muscle parameters and evaluate the model's diagnostic performance. Results: Higher VBQ scores, decreased relative CSA of paravertebral muscles, and increased fat infiltration of the paravertebral muscles indicate an elevated risk of fractures. Impact: The findings of this study could potentially have a significant impact on the management and prevention of vertebral fractures in T2DM patients. By identifying specific MRI-based risk factors, clinicians can improve fracture risk assessment and implement targeted interventions.
Correlating Diffusion Tensor Imaging Parameters with Lumbar Paraspinal Muscle Fat Infiltration: Implications for Sarcopenia Diagnosis
Authors: Zhang Wenshuang , Zhou Fengyun , Yuan Yi , Yan Dong , Wu Yanglei , Wang Ling , Cheng Xiaoguang
Published: November 2024

Motivation: With the rise of aging-related muscle diseases, particularly sarcopenia, there's a pressing need for advanced diagnostic methods to assess muscle health. Goal(s): Investigate the relationship between DTI imaging parameters and fat infiltration in paraspinal muscle, to identify novel biomarkers for early detection of muscle degeneration. Approach: Employing DTI on 16 volunteers, we measured fat infiltration using PDFF and conducted a correlational analysis between DTI metrics and fat content across 64 ROIs. Results: DTI successfully visualized paraspinal muscle fibers and showed significant correlations between FA values and PDFF, MD, AD, and RD values.Impact: The research underscores the potential of DTI in detecting imaging biomarkers for muscle degeneration, setting the stage for advanced non-invasive assessments of musculoskeletal health.
Assessment of Myofiber-type Transformation in Rats with Discogenic Low Back Pain Using Diffusion Tensor Image of Paraspinal Muscles
Authors: Wu Ying , Ma Jiyao , Zhang Zhenguang , Pi Jiangyuan , Gao Chao , Leng Wenyang , Nie Lisha , Huang Yilong , He Bo
Published: November 2024

Motivation: The development of discogenic low back pain (DLBP) and myofiber-type transformation in paraspinal muscles are strongly related. However, the impact of diffusion tensor imaging (DTI) in identifying myofiber-type transformation in paraspinal muscles remains uncertain. Goal(s): Exploring the value of DTI in evaluating myofiber-type transformation in paraspinal muscles, and contributing to improved clinical diagnosis and intervention strategies for DLBP. Approach: Prospective case-controlled animal experiments and establish the DLBP model in rats. DTI scanning and immunofluorescence of myofibers were performed to assess myofiber-type transformation. Results: The fractional anisotropy (FA) was identified as a noninvasive imaging marker for detecting myofiber-type transformation in DLBP rats (r=0.4930, P<0.05). Impact: Detection of myofiber-type in muscle biopsies is challenging. By utilizing DTI, clinicians can diagnose pathological alterations in paraspinal muscles early on, intervene quickly, and alleviate the burden on patients before the pain worsens.
Unlocking the Secrets of Lumbar Disc Degeneration: Revealing Early Changes using Advanced 23Na MRI
Authors: Frenken Miriam , Kamp Benedikt , Müller-Lutz Anja
Published: November 2024

Motivation: The global impact of lumbar back pain requires an understanding of degenerative disc disease. Conventional MRI often misses early changes, necessitating a more sensitive technique for accurate detection. Goal(s): To determine the efficacy of 3T-MRI with 23Na in accurately assessing degeneration to provide a deeper understanding of the correlation between sodium concentrations and proteoglycan levels in intervertebral discs. Approach: Examination of human lumbar spine samples ex vivo using a 23Na-surface-coil, which enabled accurate determination of 23Na relaxation times and quantification of tissue sodium concentrations (TSCs). Results: Results showed a significant correlation between decreasing TSC values and progression of Thompson grading. Impact: This exciting research represents a significant advance in the field of lumbar disc degeneration assessment and promises to be an important part of a paradigm shift in diagnostic approaches and treatment strategies for patients with lumbar back pain.
Wave-impedance-match materials for Travelling Wave MRI
Authors: Gao Yang , Liu Tong
Published: November 2024

Motivation: Wave-impedance-match is key to ensure maximized power transmission in travelling-wave (TW) MRI. Currently, only coaxial waveguide method has been proposed. It requires adding metallic cylinder inside magnet and gradient coils, which introduces risks of mechanical instability and patient safety due to eddy current. Goal(s): Propose a novel wave-impedance-match method for TW excitation with non-metallic materials. Approach: Dielectric cubes made up of easy-accessible distilled water were modelled and placed between feed and the load. Power-flow-density and power-loss results were used to evaluate wave-impedance-match. Results: Wave-impedance-match varies with length and width of dielectric cube. The well-matched conditions with dielectric cube and coaxial waveguide are similar. Impact: Non-metallic wave-impedance-match method was proposed for TW excitation. This has the potential to accelerate maturity of traveling-wave excitation method in UHF MRI.
Toward a 16-channel loop-dipole combined dielectric resonator antenna array for human brain MRI at 7T using pTX
Authors: Wenz Daniel , Dardano Thomas
Published: November 2024

Motivation: To develop a new generation of head coils for ultrahigh field MRI using loop-dipole combined dielectric resonator antenna arrays. Goal(s): To construct and evaluate an 8-channel loop-coupled dielectric resonator antenna array for brain MRI at 7T. Approach: Electromagnetic field simulations in a spherical phantom and Duke for different types of RF feeds were performed. An 8-channel, loop-coupled dielectric resonator antenna array was constructed using 8 ceramic, rectangular dielectric blocks (εr=275, σ=0.068 S/m). Results: An 8-channel loop-coupled dielectric resonator antenna array was successfully constructed and evaluated at the bench as well as in preliminary phantom experiments at 7T using pTX system. Impact: This study is an important step to improve transmit and receive performance of head coils for neuroimaging at 7T.
Expandable Transmission Line Resonators for Intraventricular 19F MRI
Authors: Özen Ali , Bock Michael
Published: November 2024

Motivation: 19F-MRI can be used to monitor immune cell response to myocardial infarction, yet the low signal-to-noise ratio in the myocardium must be compensated by long measurement times and low spatial resolution. Goal(s): To enable high spatial and temporal resolution 19F-MRI using an intraventricular expanding RF coil that can be introduced via a catheter. Approach: A superelastic, self-resonant shielded-loop-resonator was developed to fit into a guiding catheter and the SNR was measured for different coil shapes. Results: The expandable coil does not require re-tuning even at extreme shape deformations, and it can even be used as an active marker for real time 1H guidance. Impact: Intraventricular MRI of 19F-labeled immune cells will enable effective monitoring at myocardial infarction after fluorine labeling. The expandable SLR coil can be inserted via guiding catheters and used as 1H tracking coil without tuning or additional adjustments.
Simulating the Magnetic Field of a Nonlinear and Time-Varying Arbitrary-Nucleus Coil
Authors: Reeder Charlie , Han Victor , Liu Chunlei
Published: November 2024

Motivation: An untuned, non-resonant coil called the ADAPT Coil has recently been developed to excite any nucleus in high field, human-scale MRI. However, the coil’s nonlinear and time-varying characteristics render conventional simulation methods insufficient. Goal(s): To develop an accurate simulation method for nonlinear and time-varying coils. Approach: A finite-difference time-domain solver and a harmonic balance simulator were combined to simulate the linear components and the nonlinear and time-varying components, respectively. Results: Nonlinear and time-varying coil operation was simulated and the resulting magnetic fields for five harmonics were visualized. The fundamental frequency magnetic field resembles that of an ideal current loop. Impact: If validated for use with humans, the ADAPT Coil would significantly reduce barriers to clinical translation of X-nuclei research. The simulation method presented here represents a major step towards validation of the ADAPT Coil or any other nonlinear coil.
A Wireless Tx/Rx Litzcage coil for 1.5 T Knee MRI
Authors: Zhu Haoqin , Zhou Chenhao , Li Rangsong , Chen Yuanyuan , Zhang Gong , Ren Yujie , Yan Xinqiang
Published: November 2024

Motivation: The conventional Tx/Rx knee coil optimizes transmission and reception using a complex dual-layer structure with multiple components, requiring local transmit power and a limited diameter. Goal(s): Developing a knee coil for that offers superior performance, patient-comfort, and affordable, without the need for a local transmit connection. Approach: Design a wireless Tx/Rx knee coil incorporating system body coil in transmit phase and a flex phased array during receive phase, evaluating its performance against the flex phased array alone using phantom and in vivo imaging. Results: Enhanced SNR is achieved when compared to a 13-channel flexible phased array, effectively eliminating wrap-around artifacts in knee image. Impact: The advancement of inductive RF resonator technology with a wireless birdcage resonator incorporating a Figure-of-Eight (Fo8) conductor design is aiming to achieve cost-effective and improved performance for knee MRI which improves the way of designing MRI coils and their applications
High-Resolution Diffusion-MRI Detects Accelerated White Matter Degeneration in Alzheimer's Mice after Neurotrauma
Authors: Hua Ning , Minaeva Olga , Parsons Douglas , Moncaster Juliet , Jara Hernan , Goldstein Lee
Published: November 2024

Motivation: It is important to understand how neurotrauma accelerates the progression of Alzheimer's disease. Goal(s): The project's goal is to use ultra-high isotropic resolution (60μm) diffusion-MRI for exploring changes in white matter integrity after neurotrauma. Approach: Ex vivo diffusion-MRI was acquired using a 9.4T Bruker scanner in a transgenic mouse model of Alzheimer's disease with and without neurotrauma. Results: We observed decreased quantitative anisotropy in mice 8 months post the brain injury. Impact: Our preliminary finding demonstrated that neurotrauma can induce accelerated white matter degeneration in Alzheimer's disease.
Quantitative UTE MRI of Demyelination in mTBI Mice Subject to Open-field Low-intensity Blast Injury
Authors: Ma Yajun , Tang Qingbo , Athertya Jiyo , Cheng Xin , Lee Roland , Huang Mingxiong , Chang Eric , Johnson Catherine , Cui Jiankun , Gu Zezong , Du Jiang
Published: November 2024

Motivation: mTBI can lead to myelin damage, culminating in substantial cognitive function impairment. Yet, conventional neuroimaging methodologies often fall short in identifying abnormalities in a significant proportion of mTBI instances. Goal(s): To assess the potential of UTE sequence in detecting demyelination in mTBI mice subject to an open-field LIB injury. Approach: A new STAIR-UTE sequence was employed to study demyelination in mTBI mice subject to an open-field LIB injury at 3T. Results: The STAIR-UTE measured MPFs in the corpus callosum region for the mTBI mice are significantly lower (8.5±0.4% vs. 8.8±0.4%; p-value = 0.0055) than those for the control mice. Impact: STAIR-UTE sequence enables quantitative myelin imaging at 3T MRI, facilitating the detection of demyelination within the mouse brain's white matter following open-field LIB exposure. This innovative STAIR-UTE technique holds significant promise for in vivo mTBI diagnosis and treatment monitoring.
Increased brain entropy and its association with cognitive function following mild traumatic brain injury
Authors: Jiang Li , Wang Ze , Roys Steven , Tchoquess Rosy Linda Njonkou , Furman Andrew , Raghavan Prashant Raghavan , Gullapalli Rao , Zhuo Jiachen
Published: November 2024

Motivation: Mild traumatic brain injury (mTBI) is a prevalent neurological condition involved with physical, cognitive, and emotional impairments. Brain dynamics measured with sample entropy and its association with cognitive functions in mTBI patients remains unexplored. Goal(s): We aim to investigate brain entropy changes in mTBI as compared to non-TBI control patients and explore their potential associations with cognitive function in mTBI patients. Approach: Brain entropy mapping was applied based on rs-fMRI images. Results: Results show hyper-entropy within hippocampus and para-hippocampal gyrus which has significant negative association with cognitive scores related to working memory and processing speed. Impact: This study underscores the promise of brain entropy analysis as a valuable addition to mTBI research, with implications for improved diagnostic and treatment strategies.
Network-based statistic and connectome-based predictive modeling for structural alterations in military service members with mild TBI
Authors: Yeh Ping-Hong , Song Chihwa , Srikanchana Rujirutana , Koay Cheng Guan , Liu Wei , Ollinger John
Published: November 2024

Motivation: Mild traumatic brain injury (mTBI) presents with a wide array of clinical features due to the great heterogeneity of underlying pathological features. Goal(s): To identify aberrant structural connectivity in mTBI service members (SMs) and to evaluate the usefulness of predictive models of brain-behavior relationships from structural connectivity data. Approach: Employ Network-Based Statistic (NBS) and Connectome-based Predictive Modeling (CPM) to evaluate the structural connectome of SMs who had a remote mTBI, as mapped by advanced diffusion MRI. Results: NBS identified sub-networks involving the default mode networks with decreased connectivity density; CPM revealed an association between the predicted post-concussive symptom scores and the self-report scores. Impact: Structure connectome-based analysis using advanced diffusion MRI techniques has the potential for the objective evaluation of white matter properties, which can become biomarkers in monitoring clinical symptoms in SMs after a remote brain injury
Overcoming challenges of quantitative susceptibility mapping in moderate-to-severe TBI patients
Authors: D. Juan Domínguez , Stewart Ashley , Burmester Alex , Akhlaghi Hamed , O’Brien Kieran , Bollmann Steffen , Caeyenberghs Karen
Published: November 2024

Motivation: Quantitative susceptibility mapping (QSM) is being increasingly used to investigate pathophysiological changes in traumatic brain injury (TBI). However, generating artefact-free quantitative susceptibility maps in brains with large focal lesions, as in the case of moderate-to-severe TBI (ms-TBI), is particularly challenging. Goal(s): To generate artefact-free quantitative susceptibility maps in moderate-to-severe TBI patients with large focal lesions. Approach: We utilized a novel two-pass masking technique and reconstruction procedure in combination with a recently developed virtual brain grafting tool for brain repair. Results: Our innovative approach allowed us to generate artefact-free personalised QSM profiles of individual ms-TBI patients with reference to a sample of healthy controls. Impact: We outline an approach to obtain magnetic susceptibility values in the presence of large focal lesions and provide a framework to generate personalised QSM profiles that may be used by clinicians to characterise TBI pathophysiology or implement neuroscience-guided rehabilitation programs.
Comparison of MRI FRACTURE sequence and CT for three-dimensional bone imaging in patients with shoulder dislocation
Authors: Zhong Jinglian , Cui Dedong , Su Yun , Deng Kan , Li Jixin , Bai Zhiqiang , Lai Zhaoqi , Gu Qingping , Zeng Fei
Published: November 2024

Motivation: It is highly desirable to evaluate both soft tissue and bone in a single examination. FRACTURE could be used as a viable auxiliary method of conventional MRI to allow evaluating soft tissue injury and quantifying bone defect simultaneously. Goal(s): To evaluate the equivalence of FRACTURE and 3D-CT in quantifying bone loss in patients with shoulder dislocation and measuring the morphological parameters of the shoulder. Approach: Fifty-six patients with shoulder dislocation underwent both MRI (including FRACTURE) and CT scanning. Paired t-test was utilized to assess the difference between them. Results: There was no statistical difference between the measurements of 3D-CT and FRACTURE. Impact: FRACTURE, a radiation-free and reliable examination, could serve as an effective auxiliary method to conventional MRI. It allows for simultaneous evaluation of soft tissue injury and accurate quantification of bone defect.
Enhancing MRI Image Quality and Meniscus Injury grading in Knee Joints with Deep Learning
Authors: Wu Fei , Wang Kaiyu , Bao Jianfeng , Cheng Jingliang
Published: November 2024

Motivation: The need for accurate meniscus injury diagnosis and the limitations of traditional MRI. Goal(s): To enhance knee MRI through deep learning algorithms. Approach: A cohort of 46 patients underwent MRI with and without deep learning reconstruction (DLR). Radiologists subjectively assessed image quality and evaluated meniscus damage. Results: DLR improved image quality, reducing noise and artifacts. Radiologists consistently rated DLR images higher. DLR excelled in detecting subtle meniscus injuries compared to traditional MRI. Impact: This study demonstrates that deep learning-based MRI reconstruction substantially improves image quality and the detection of subtle meniscus injuries, offering enhanced diagnostic accuracy in knee joint assessments.
Quantification of left atrial fibrosis in cardiac MRI: a multi-method, multi-vendor comparison study
Authors: Zhang Hui , Guo Huimin , Hu Wanjun , Wu Chuang , Ma Yurong , Ai Kai , Zhang Jing
Published: November 2024

Motivation: The impact of vendors and threshold methods on quantification of LA fibrosis is not well studied. Goal(s): To evaluate the inter-vendor and inter-threshold impact on LA fibrosis quantification. Approach: Both packages of Medis and CVI42 ADAS were used to calculate LA fibrosis based on the image IIR 1.2-method and 2 SD above the mean blood pool signal intensity of LA. Results: The both post-processing software packages of Medis and CVI42 ADAS have a good agreement and correlation to quantify LA fibrosis if an identical quantification method was used. However, LA fibrotic burden is influenced by used quantification methods. Impact: LA fibrotic burden quantified with cardiac MRI is influenced by used quantification methods, but don’t dependent on vendors. The use of Utah stages by other centers needs further validation when different analysis methods applied.
Association of serum uric acid with right cardiac chamber remodeling assessed by CMR-feature tracking in patients with connective tissue disease
Authors: Tang Yuanyuan , Yang Zhaoxia , Wen Jinyang , Huang Lu , Xia Liming
Published: November 2024

Motivation: To explore a common and low-cost indicator in patients with connective tissue disease (CTD) to determine the subclinical right cardiac chamber remodelingGoal(s): Investigated the association of Serum uric acid (SUA) with right cardiac chamber remodeling assessed by cardiac magnetic resonance feature-tracking (CMR-FT) in CTD patients. Approach: All individuals underwent CMR examinations and their SUA levels were recorded. CMR-FT was used to evaluate the right atrial and ventricular strain parameters. Results: CTD patients had significantly right cardiac chamber remodeling and elevated SUA levels compared with controls. SUA may be a potential risk factor of right cardiac chamber remodeling in CTD patients. Impact: Right heart remodeling is widespread in CTD patients. SUA is considered a potential independent risk factor for cardiovascular disease and elevated SUA levels are often observed in CTD patients.
Left atrial strain for prediction of left ventricular reverse remodeling after STEMI by cardiac magnetic resonance feature-tracking
Authors: Yang Zhaoxia , Wen Jinyang , Tang Yuanyuan , Sun Wenzhe , Tang Dazong , Xia Liming
Published: November 2024

Motivation: Few studies have assessed the association of left atrial (LA) strain with left ventricular reverse remodeling (LVRR) after ST-segment elevation myocardial infarction (STEMI). Goal(s): To investigate the potential utility of LA strain by using cardiac magnetic resonance feature-tracking (CMR-FT) to predict LVRR following STEMI. Approach: The prospective study analyzed patients with a first STEMI and two CMR scans at 5 days and 4 months, and quantified LA strain by CMR-FT using cine images. Results: LA reservoir and conduit strain, together with infarct size were independent predictors of LVRR. Impact: The demonstrated predictive value of LA strain for the occurrence of LVRR after STEMI enables better assessment for the improvement of myocardial injury and guidance for the treatment in STEMI patients.
The value of left atrial strain for predicting left ventricular reverse remodeling in dilated cardiomyopathy patients
Authors: Fang Qimin , Kan Ao , Yu Yaohan , Dai Jiankun , Xu Lin , Gong Lianggeng
Published: November 2024

Motivation: The structure and function of left atrial (LA) have shown significant value in prognostic and risk stratification in dilated cardiomyopathy (DCM) patients. But no previous studies had reported its value for predicting left ventricular reverse remodeling (LVRR) in DCM. Goal(s): This study aimed to explore whether fast long-axis strain (FLAS) of LA can provide predictive value. Approach: LA strain and other cardiac magnetic resonance (CMR) parameters were measured by CVI (version 5.13.7) in 96 patients. Statistical analysis was performed using SPSS. Results: Both LACS and LGE were independent predictors of LVRR. The combination of LACS and LGE provided better prediction performance. Impact: For the first time, our study demonstrated the predictive value of LA strain for LVRR. It would be beneficial for DCM patients who were contradictive to contrast agencies.
SMS-SPARCS: Free-breathing CAIPIRINHA-based SMS cine imaging using Spiral Acquisition with Respiratory correction and Cardiac Self-gating
Authors: Zhou Ruixi , Wang Xitong , Wang Junyu , Zong Fangrong , Liu Yong , Lee Yoo Jin , Salerno Michael , Yang Yang
Published: November 2024

Motivation: Cine imaging is important for CMR quantification of left ventricular (LV) function, but conventional breath-held techniques are time consuming. Goal(s): This study aims to improve continuous spiral-based cardiac cine acquisition efficiency. Approach: A CAIPIRINHA-based SMS imaging using spiral acquisition with respiratory correction and cardiac self-gating strategy is proposed. Results: By optimizing the phase modulation pattern with robust self-gating signal extraction, cine images covering the whole LV are obtained in approximately 30s free breathing without ECG gating. The proposed technique yielded comparable LVEF to the clinical gold-standard. Although image quality was slightly inferior to the clinical technique, SMS-SPARCS produced diagnostically acceptable image quality. Impact: This study furthers our insight into designing phase modulation and reconstruction techniques for continuous spiral-based multi-slice self-gated acquisition. This technique improves efficiency of cine acquisition and does not require ECG or breath-holding.
The Feasibility of Analyzing Systolic and Diastolic Myocardial Volume Ratio Based on CMR to Evaluate Myocardial Fibrosis in HCM Patients
Authors: Wu Haishan , Liu Pengfei , Zhu Xinyu , Lian Jianxiu
Published: November 2024

Motivation: CMR, the gold standard for diagnosing myocardial diseases, is known for its ability to assess local myocardial fibrosis through LGE imaging. However, this imaging technique requires a contrast agent, limiting its use in patients with allergies or renal dysfunction. Goal(s): The purpose of this study is to assess the ability of MVs/MVd as a new indicator to measure the extent of myocardial fibrosis. Approach: Explore the correlation between MVs/MVd and LGE% in patients with hypertrophic cardiomyopathy. Results: The results indicate that MVs/MVd may possess the ability to indicate myocardial fibrosis without the need for a contrast agent. Impact: MVs/MVd, in contrast to traditional methods, directly measures the entire cardiac cycle, offering valuable insights into myocardial properties. Importantly, it can gauge myocardial fibrosis to some extent without requiring a contrast agent, making it clinically significant for diagnosis and treatment.
Direct traction device for clinical wrist MR imaging
Authors: Zhang Miaoru , Yeung David , Griffith James
Published: November 2024

Motivation: Traction imaging helps visualize the wrist articular cartilage, intrinsic ligaments, and triangular fibrocartilaginous complex (TFCC). The current traction method is cumbersome to use limiting more widespread usage. Goal(s): To design a direct wrist traction device that is practical, comfortable, effective, and versatile. Approach: A new traction device was designed. One patient underwent wrist imaging before and after traction with this device. The degree of joint distraction and articular cartilage, ligament and TFCC visibility was evaluated as was the degree of subject discomfort. Results: The traction device was easy to apply, achieved good traction with minimal subject discomfort. Impact: This practical traction device can potentially improve the quality of wrist MR imaging, negating the need for wrist arthrography and improving the detection of articular cartilage, intrinsic ligament and TFCC injury.
DCE-MRI and fatty acid metabolomics for evaluating endothelial progenitor cells function in diabetic rabbits with critical limb ischemia
Authors: Fei Ziyan , Zha Yunfei , Liu Weiyin
Published: November 2024

Motivation: Diabetic lipid metabolism induces impairments of bone marrow endothelial progenitor cells (EPCs) 1, accelerates microangiopathy of critical limb ischemia 2,3 and increases amputation rate 4. Goal(s): To explore the effect of diabetes mellitus (DM) on EPCs function and fatty acid metabolism in rabbits with critical limb ischemia using DCE-MRI. Approach: DISCO-acquired DCE-MRI, EPCs function assessment, fatty acid metabolomics and CD31 immunohistochemical staining of proximal femur were performed. Results: DM increased the significant differences of microvascular permeability parameters among time points and those were correlated with mobilization, migration and angiogenesis of EPCs, and fatty acid anabolism indices in both experimental groups at week 4. Impact: Early non-invasive evaluating bone marrow endothelial progenitor cell functions in diabetic rabbits with critical limb ischemia could monitor functions of bone marrow EPCs during lipid regulation using DISCO MRI and timely adjust treatment strategies to improve microcirculation and reduce amputation.
Deep Learning-based Automatic Segmentation and Fusion Radiomics-based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma
Authors: Zheng Fei , Yin Ping , Wang Yujian , Hao Wenhan , Hao Qi , Hong Nan
Published: November 2024

Motivation: The efficacy of neoadjuvant chemotherapy (NAC) directly affects the clinical treatment of osteosarcoma (OS) patients. Consequently, it is essential to accurately assess the effectiveness of NAC. Goal(s): To develop an automated method for accurately segmenting tumors and predicting the response to NAC in OS patients from conventional sequences of preoperative MRI. Approach: In the present study, we accomplished two tasks. One involves constructing a deep learning model for automatic tumor segmentation, while the other entails predicting the response to NAC using different feature extraction methods in OS patients. Results: Radiomics models can serve as a non-invasive tool for predicting treatment response in OS. Impact: Radiomics have the potential to non-invasively predict the neoadjuvant chemotherapeutic responses. This tool could significantly contribute to avoiding ineffective chemotherapy and optimizing the management of OS patients in the era of personalized medicine.
The Role of MR Diagnosed Bilateral Patellar Tendinopathy on Pain and Quality of Life in Elite Athletes
Authors: Asay Jessica , Schmidt Andrew , Gatti Anthony , Young Katherine , Rubin Elka , Majumdar Sharmila , Potter Hollis , Gold Garry
Published: November 2024

Motivation: Patellar tendinopathy (PT) is a common athletic overuse injury affecting either or both knees that can lead to pain and early sport retirement. However, athlete reported differences between bilateral and unilateral PT remains unknown. Goal(s): We tested the hypothesis that athletes with MRI signs of bilateral PT have more self-reported knee problems compared to athletes with no or unilateral PT. Approach: 53 pre-season elite college athletes were bilaterally imaged and completed knee surveys. Statistical tests were conducted to determine differences between no, unilateral, or bilateral PT. Results: Significant differences in pain and quality of life in athletes with bilateral PT exist. Impact: Elite athletes with bilateral patellar tendinopathy (PT) have more pain and a reduced quality of life, problems that may keep athletes from optimal sport performance. MR may help identify at-risk athletes for preventive care, potentially keeping athletes from further injury.
Integrated CrCEST MRI and Downfield MR Spectroscopy to Achieve Muscle Specific OXPHOS Measurement with Personalized Exercise Regimes
Authors: Armbruster Ryan , Kumar Dushyant , Benyard Blake , Jacobs Paul , Liu Fang , Khandavilli Aditi , Nanga Ravi Prakash Reddy , Wilson Neil , McCormack Shana , Cappola Anne , Reddy Ravinder
Published: November 2024

Motivation: CrCEST measurements are sensitive to the changes in muscle pH, which confound the measurement and interpretation of τCr. Our motivation was to develop a technique that removed acidic bias from CrCEST measurements to ensure OXPHOS measurement. Goal(s): Develop a personalized mild exercise technique that limits acidosis in the calf to ensure measurement of OXPHOS using CrCEST. Approach: To test the dependence of CrCEST recovery time on pH with different exercise regimes. Results: Carnosine 1HMRS can be used to quickly measure pH change induced by a prescribed exercise regime and can facilitate an unbiased measurement of personalized muscle group specific OXPHOS capacity with CrCEST. Impact: Carnosine 1HMRS can be used to quickly measure pH change induced by a prescribed exercise regime and can facilitate an unbiased measurement of personalized muscle group specific OXPHOS capacity with CrCEST.
Hippocampal subfield and amygdala nuclei gray matter volume reduction in early-onset schizophrenia
Authors: KUMAR MUKESH , Kumaran S Senthil , Pankaj Pankaj , Sagar Rajesh
Published: November 2024

Motivation: Assessing the Gray matter volume changes in the hippocampal subfield and amygdala nuclei will help to understand the underlying mechanisms of the disease. Goal(s): To assess hippocampal subfield and amygdala nuclei volume changes in patients with early-onset schizophrenia (EOS). Approach: High-resolution 3D T1 images were acquired in both the control (34) and the EOS (31). Hippocampal subfield and amygdala nuclei segmentation was performed using FreeSurfer. Results: Volume reduction in the bilateral basal, para-laminar, and right lateral amygdala nuclei, as well as molecular layer, subiculum, para-subiculum, CA4 hippocampal subfield. Impact: The gray matter volume reduction of the hippocampus subfield and amygdala nuclei maybe associated with poor clinical outcomes in EOS.