bluuebunny/crossref_metadata_2025 huggingface dataset:
Achieving Robust Labeling Above the Circle of Willis with Vessel-Encoded Arterial Spin Labeling
Authors: Li Hongwei , Ji Yang , Wang He , Chen Zhensen , Suzuki Yuriko , Okell Thomas
Published: November 2024

Motivation: The ability to distinguish arterial blood supply above CoW is crucial in the study of collateral circulation, but it is challenging due to the complex positioning of arteries around the CoW. Goal(s): To achieve a robust vascular territories separation above CoW. Approach: We propose improvements to the original OES method, optimizing its SNR efficiency while minimizing high spatial frequencies to avoid mislabeling. We have also selected a set of PCASL parameters that facilitate thin-slice labeling and ensure high labeling efficiency to overcome issues related to vascular tortuosity. Results: Combining optimized parameters and improved OES, the vascular territories separation has significantly improved. Impact: Our study optimized the fully automatic encoding pattern design above the circle of Willis, and achieved a robust vascular territories separation, combining with optimized PCASL parameters.
A quantitative 2D time-of-flight (qTOF) MR angiography technique for measuring single-vessel blood flow and diameter
Authors: Ma Yuhan , Horne Jacob , Berman Avery
Published: November 2024

Motivation: To address the gap in MRI techniques for assessing cerebral small vessels with slow flow non-invasively. Goal(s): To develop a quantitative 2D time-of-flight (qTOF) technique for measuring blood velocity and the size of cerebral small vessels. Approach: We developed an analytic qTOF framework to generate realistic TOF model images, which are optimized to match the acquired TOF images for extracting blood velocity and vessel size. Results: The proposed qTOF framework was validated in simulation and phantom studies, and demonstrated in vivo. Incorporating a second acquisition improved blood velocity and vessel size estimation. Flow velocities were comparable to those measured by phase-contrast MRI. Impact: A quantitative Time-of-Flight technique was developed to provide insights into blood flow and the size of cerebral small vessels, and dynamically in response to changing brain activity, helping to elucidate the role of cerebral small vessels in healthy brain function.
Assessing the microstructural integrity of the myocardium in hypertrophic cardiomyopathy using diffusion tensor imaging and strain analysis.
Authors: Laghzali Oumaima , Chen Shi , Kara Danielle , Garrett Thomas , Ku Min-Chi , Nguyen Christopher
Published: November 2024

Motivation: Although functional integrity is preserved in most hypertrophic cardiomyopathy (HCM) patients, the microstructure is continuously and silently changing. Goal(s): To better comprehend the myocardial response, we need to characterize diffusion changes between healthy and disease state. Approach: We quantitatively investigate the relationship between myocardial strain and diffusion tensor imaging (DTI)-derived metrics in HCM. We assessed diffusion and strain in HCM and healthy patients using a new investigational MR system with ultra-high-performance gradients. Results: HCM subjects exhibited lower anisotropy values that correlated with strain analysis indicative of early microstructural disarray. Impact: Our results highlight the contribution of microstructural anisotropy in HCM development. Even in the absence of detectable mechanical deficiencies, diffusion myocardial mapping is an adjunct tool for managing the disease, aiding treatment planning, and bridging clinical outcomes with research findings.
Prognostic value of dark right ventricular blood pool sign on myocardial T2 mapping in patients with dilated cardiomyopathy
Authors: Zhou Hui , Li Yajuan , Zhang Huiting , Bi Xiaoming
Published: November 2024

Motivation: The evaluation of surrogate markers of cardiopulmonary status may provide risk stratification and prognostication in patients with dilated cardiomyopathy. Goal(s): To investigate the prognostic value of the dark right ventricular blood pool (RVBP) sign on T2 mapping by CMR. Approach: T2 mapping was used to measure T2 values of septum, RV and LV blood pool images in DCM patients and healthy controls.All patients were followed to record major adverse cardiac events (MACEs). Results: The sign of dark-RVBP on T2 mapping was found in 31.3% (42/134) of DCM patients. The ratio of T2RV/T2LV seemed to be an independent predictor for MACEs in DCM patients. Impact: The sign of dark-RVBP on T2 mapping by CMR was associated with hard clinical events with prognostic information independent of and incremental to myocardial strain parameters.
T1 Mapping and Extracellular Volume Fraction in Patients with Suspected Acute Myocarditis: A Prognosis Study
Authors: Wang Yining , Chow Kelvin , An Jing , Zhao Shihua , Lu Minjie
Published: November 2024

Motivation: The prognostic value of T1 mapping and extracellular volume fraction (ECV) in acute myocarditis has not yet been supported by high-quality, evidence-based medicine. Goal(s): To investigate the prognostic value of T1 mapping and ECV in patients with acute suspected myocarditis. Approach: Patients meeting the recommended clinical criteria for suspected myocarditis were enrolled. The potential value for predicting MACE was explored using Cox proportional hazards models. Results: Patients with MACE showed higher global native T1 and ECV z scores and were more likely to have tissue changes in interventricular septum. Quantitative mapping parameters have incremental prognostic value beyond clinical variables and conventional CMR parameters. Impact: Our study reveals the prognostic predictive ability of native T1 and ECV in myocarditis. The application of mapping techniques will further contribute to the understanding of the pathophysiology of heart disease and will guide the development of effective therapeutic approaches.
Multimodal Approach for CDR : Vision-Language Integration for Enhanced Clinical Dementia Rating Classification in Alzheimer’s Disease
Authors: Yoon Joonhyeok , Kim Minjun , Ji Sooyeon , Oh Chungseok , Jeong Hwihun , Min Kyeongseon , Youn Jonghyo , Kim Taechang , An Hongjun , Park Juhyung , Lee Jongho
Published: November 2024

Motivation: The diagnosis of Alzheimer's disease (AD) considers not only clinical symptoms but also various data sources, including MR imaging. Goal(s): In this study, we used a multimodal approach to integrate both language and vision information to improve the performance of clinical dementia rating classification network. Approach: We used contrastive pre-training with language and vision data pairs; then trained a classifier, freezing the pre-trained network during classifier training. Results: The results show that the integrated model achieved the highest accuracy. In addition, the contrastive learning process improved the performance of the vision encoder with guidance of abundant linguistic information. Impact: With multimodal training, we successfully integrated both vision and language information and yielded the best results with integrated model. Also, multimodal training enhanced vision encoder's performance. When limited language information was provided, the complementary information from visual information was greater.
Predicting Anatomical Tumor Growth in Pediatric High-grade Gliomas via Denoising Diffusion Models
Authors: Laslo Daria , Monzon Maria , Ramakrishnan Divya , von Reppert Marc , Stoller Schuyler , Stücklin Ana Sofia Guerreiro , Gerber Nicolas U. , Rauschecker Andreas , Nazarian Javad , Mueller Sabine , Jutzeler Catherine , Brueningk Sarah
Published: November 2024

Motivation: Pediatric diffuse midline gliomas are associated with a poor prognosis, leaving radiotherapy as standard of palliative care. Personalized radiation regimes could maximize the benefit for the patient, and consequently improve clinical outcomes. Goal(s): This study explores a state-of-the-art computer vision method to predict the anatomical growth of tumors which could inform tailored radiotherapy treatments. Approach: A denoising diffusion implicit model is employed to generate realistic, high-quality magnetic resonance imaging scans of enlarged tumor sizes starting from a baseline image. Results: Our proof-of-concept study demonstrates promising results on an external longitudinal pediatric dataset, highlighting the method’s potential to realistically predict visual tumor growth. Impact: We demonstrate realistic predictions of anatomical (pediatric) brain tumor growth using a generative denoising diffusion implicit model. This enables personalized predictions of tumor growth trajectories to guide localized therapies such as geometric dose shaping for radiotherapy delivery.
Learning to synthesize MR contrasts using a self-supervised constrained contrastive learning approach
Authors: Umapathy Lavanya , Feng Li , Sodickson Daniel
Published: November 2024

Motivation: Although deep learning frameworks have been widely used in all aspects of the MR imaging pipeline, the effect of learning tissue-specific information from MR images in improving model performance needs to be understood. Goal(s): We demonstrate the utility of a self-supervised contrastive learning framework that uses multi-contrast information to improve synthesis of T1w and T2w images. Approach: A deep learning model is pretrained to learn T1 and T2 information from a set of multi-parametric MR images. Results: A contrast synthesis framework was developed using few examples of contrast mapping. Embedding relevant contrast information during pretraining synthesized images with improved MSE, SSIM, and PSNR. Impact: Multi-contrast information can be leveraged by self-supervised deep learning models to understand underlying tissue characteristics and synthesize new MR contrast-weighted images. This demonstrates the wider applicability of embedding tissue-specific information in improving different aspects of the MR imaging pipeline.
Impact of Matching Network Losses on RF Coil Q and SNR at Low Field Strengths.
Authors: Lakshmanan Karthik , Wang Bili , Brown Ryan
Published: November 2024

Motivation: RF Coil design for low frequencies. Goal(s): Demonstrate the impact of losses in different matching network topologiesApproach: we compared three- and four-element matching networks on 12 cm diameter coils at 10, 23.55, and 63.6 MHz. and evaluated coil loss and SNR. Results: At 10 and 23.55MHz, the coils with three-element (single stage) matching networks exhibited approximately 50% lower unloaded Q compared to coils with four-element matching networks, whereas unloaded Q values were within 3% for three- and four-element matched coils at 63.6MHz. SNR at 23.55MHz (0.55T) was approximately 30% higher for the four-element matched coil over the three-element matched coil. Impact: Resistive losses in four-element matching networks can be significantly lower than those of three-element networks at low frequencies or for lightly loaded coils, resulting in higher quality factor and SNR.
Reducing motion artefact in high resolution 7T scans using a new head stabilisation device
Authors: Mangal Jyoti , Richardson Simon , Brackenier Yannick , Dick Fred , Di Cio Pierluigi , Callaghan Martina , Carmichael David
Published: November 2024

Motivation: Long scan durations and ultra-high field both facilitate the acquisition of high-resolution quantitative brain MRI, but they increase motion sensitivity. Goal(s): We aimed to limit the occurrence of deliberate motion by testing a device (‘MinMo’) designed to increase head stability at 7T. Approach: Using two k-space phase encoding orders with different motion sensitivity profiles we obtained data with and without the MinMo device. Results: This showed that the MinMo increased image quality visually and as measured quantitatively via reduced gradient entropy in scans of ~10 and ~20 minute duration. Impact: Reducing head motion would have a significant impact on image quality in high-resolution long duration research scans and clinical imaging. A preliminary investigation of a prototype device aiming to stabilize the head showed efficacy in most subjects, warranting further investigation.
An 8-Channel Transmit Array in Combination with a 31-Channel Receive Array for Human Brain Imaging at 11.7T
Authors: Chu Son , Baskaran Divya , Mauconduit Franck , Gras Vincent , Boulant Nicolas , Gunamony Shajan
Published: November 2024

Motivation: RF challenges increase with field strength, and novel RF coil solutions are essential to capture the potential benefits at 11.7TGoal(s): To develop an efficient 8-channel transmit array in combination with a 31-channel receive array for whole brain MRI at 11.7TApproach: Combined electromagnetic and RF pulse design simulations were performed. A folded-end RF shield was developed to minimise signal loss due to wave propagation. The receive array was optimally integrated to preserve the spatial distribution of the B1+ field. Results: Whole-brain coverage was achieved with 8-channel transmit array and excellent agreement between simulation and measurements was observed. Impact: Identifying the coil losses and engineering solutions to mitigate them provides substantial gains in transmit performance, especially at 11.7T where the losses due to radiation is high. This approach can be extended to transmit array designs at other field strengths.
Proof of concept for the integration of a low-Tc SQUID in MRI detection at 1 mT
Authors: Saniour Isabelle , Fiorito Marco , Grimaldi Eva , Couvreur Romain , Mohanty Ijee , Dassonneville Bastien , Belkhodja Yacine , Labat Dimitri
Published: November 2024

Motivation: Ultra-low MRI systems provide a reduced SNR. Goal(s): Our goal is to improve the SNR by incorporating SQUID-based RF detection into the ULF MRI system. Approach: We build a custom-made SQUID MRI system and acquire the first 2D image of a phantom as proof of concept. Results: we successfully acquired a 2D image of a phantom in 4 hours with a resolution of 15×12.5 mm²Impact: Striving for MRI accessibility, we develop a portable ultra-low field scanner using highly sensitive SQUID detection. Our first 2D image marks the initial stride toward achieving clinically competitive image quality.
3T 8-channel 13C/1H TxRx array for hyperpolarized and steady-state 13C MRSI
Authors: Zhang Bei , Lowrance Daniel , Park Jae Mo , Henning Anke
Published: November 2024

Motivation: Tackle the coupling issue among the coil elements in phased array design at low field, so as to use phased array as transceiver at low fields for good transmit efficiency, receive sensitivity profile, and acceleration performance. Goal(s): Design and build a 3T 13C/1H 8-channel array for hyperpolarized 13C MRSI and steady-state 13C MRS after oral uptake of 13C labelled glucoseApproach: Use a novel cable trap decoupling mechanism to decouple the coil elements in the 3T 13C 8-channel arrayResults: Workbench and experiment results show that the coil elements are decoupled very well with each other. Impact: This innovative research on mitigating coil element coupling in low-field phased array designs empowers low-field MRI applications. Enhanced transmit efficiency, receive sensitivity and acceleration performance offer improved diagnostic quality, benefiting scientists, clinicians, and patients.
Improvement in Receive Sensitivity at Ultra-High Field in Brain via Metasurfaces
Authors: Jacobs Paul , Wilson Neil , Armbruster Ryan , Elliott Mark , Reddy Ravinder
Published: November 2024

Motivation: Quantification of magnetic resonance spectroscopy (MRS) spectra requires sufficient SNR to detect changes in metabolic state. At ultra-high field, low concentration metabolite require length scan times to obtain sufficient SNR. Goal(s): To use a novel metasurface design to enhance the B1- receive sensitivity in phantom and in vivo brain proton spectroscopy data at 7T, resulting in increased SNR without additional scan time. Approach: Receive sensitivity enhancement was measured in phantom and in vivo experiments with and without the metasurface present. Results: The metasurfaces enhanced phantom spectral SNR by an average of 58%, while in vivo spectral SNR was improved on average by 38%. Impact: The work impacts 7T spectroscopy techniques by improving the inherent receive sensitivity, yielding higher SNR spectra. Future work will focus on demonstrating this application in patent populations to reduce scan times and enhance the signal from low concentration metabolites.
Design of Multichannel Two-row Quadrature Transceive Array for Ultrahigh field MR Imaging
Authors: Payne Komlan , Zhao Yunkun , Bhosale Aditya Ashok , Zhang Xiaoliang
Published: November 2024

Motivation: Increased sensitivity and sufficient image coverage is demanded for more efficient and comprehensive extremity imaging. Goal(s): Our goal is to exploit multiple-row quadrature RF coil array configuration to increase detection/transmission sensitivity and image coverage for human knee imaging at 7T. Approach: Due to the increase of the channel count in a multiple-row configuration, it is technically challenging to attain adequate decoupling between quadrature elements of the array. We address this issue by using a double cross magnetic wall decoupling. Results: The use of double cross magnetic wall decoupling have proven to be an efficient decoupling method. Impact: The feasibility of this work is a substantial achievement in the multichannel RF hardware engineering, poised to enhance MR imaging technology, especially in high-field applications, where multiple-row quadrature RF coil array configuration can significantly impact image quality and overall efficiency.
Preliminary study of a receive Multi-Loop Coil (MLC) array for 7T brain MRI
Authors: Thibault Clément , Gapais Paul-François , Dubuc Camille , Poirier-Quinot Marie , Amadon Alexis , Vignaud Alexandre , GINEFRI Jean-Christophe
Published: November 2024

Motivation: The use of MLCs has shown the potential to improve the SNR at short distance as compared to an equivalent SLC. Goal(s): Evaluation of the performances of a 8-channels MLC-array for head imaging at 7T. Approach: Electromagnetic simulation was used to evaluate and compare the SNR, noise-covariance matrix and g-maps obtained with the MLC-array and with an equivalent array of SLC. Results: As compared to the SLC-array, the MLC-array achieves an increased SNR in a relatively large peripheral ring and a reduced maximum g-factor. Impact: Array of MLC represents a valuable strategy for array developpement at high field that can be employed to improve the SNR or reduce the number of channels.
Dynamic contrast enhanced MRI and susceptibility-weighted imaging for diffierentiation of parotid gland tumors: a pilot study
Authors: Wang Yihua , Wang Lijun , Song Qingwei , Liu Ailian
Published: November 2024

Motivation: MRI is one of the major methods to diagnose parotid gland tumors. Substantial overlap in the appearance of tumors may be seen on anatomic MR images. Goal(s): To assess the usefulness of combined DCE with SWI in the differentiation of benign and malignant tumors. Approach: We assess the value of DCE and ITSS in the differential diagnosis between malignant and benign parotid tumors. Results: Results showed that the differences between malignant and benign tumors in Kep (p=0.024) and ITSS (p<0.01) were statistically significant. Combined with ITSS, the diagnostic performance of Kep was improved for differentiating malignant from benign tumor (AUC 0.718 vs 0.927). Impact: Our current study showed that DCE can elucidate perfusion characteristics of parotid tumors. SWI is a new complementary technique that can detect signal intensity changes from both T2WI and susceptibility differences between tissues. These fndings suggest that SWI and DCE quantitative parameters may facilitate the understanding of the pathophysiological characteristics of parotid tumors.
Perfusion parameters of DCE-MRI using GRASP correlates with tumour cellularity of lung cancer.
Authors: Chen Lihua , Liu Daihong , Zhang Jiuquan
Published: November 2024

Motivation: Tumour cellularity indicates tumour proliferation. Although perfusion MRI parameters have been proposed for non-invasive assessment of tumour cellularity, few studies have validated this theory, particularly in lung cancer. Previous studies provided a free-breathing perfusion MRI method using GRASP. Goal(s): Therefore, our aim is to investigate the relationship between tumour cellularity and perfusion parameters of MRI using GRASP. Approach: Pearson correlation coefficients were used to illustrate the relationship between perfusion parameters and cell density. Results: The findings indicated an inverse correlation between tumour cellularity and Ve. However, the study found no significant correlation between Ktrans and cell density. Impact: It suggests that GRASP perfusion MRI has potential as a non-invasive technique to assess tumour cellularity in lung cancer.
Differentiation of breast cancer subtypes using amide proton transfer-weighted imaging and DWI: the correlation with biological status
Authors: Xu Mingzhe , Chen Xuejun , Dan Dongqiu , Shen Zhiwei
Published: November 2024

Motivation: APTWI and DWI had still some controversies between their parameters and some biological status. Goal(s): To assess the value of amide proton transfer-weighted imaging (APTWI) and diffusion weighted imaging (DWI) in differentiating biological subtypes and predicting the biological status of breast tumors. Approach: The Kruskal-Wallis H test and Post-hoc pairwise comparison, Pearson's correlation analysis. Independent samples t-test. Receiver operating characteristic (ROC) analysis. Results: MTRasym (3.5 ppm) was higher in breast tumours that were TN, ER-, PR-, and high-Ki-67. Compared to DWI, APTWI is more useful in predicting the biological status of breast cancers. Impact: Compared to DWI, APTWI is more useful in predicting the biological status of breast cancers.
Comparing DWI image quality of deep-learning-reconstructed EPI with RESOLVE in breast lesions at 3.0T: a pilot study
Authors: Tsarouchi Marialena , Portaluri Antonio , Maas Marnix , Mann Ritse
Published: November 2024

Motivation: DWI’s challenging spatial resolution could be addressed by deep-learning-based image reconstruction, by reducing noise without increasing acquisition time. Goal(s): To compare the image quality of the Echo-Planar-Imaging-Deep-Learning (EPI-DL) DWI sequence with the clinically used simultaneous-multi-slice (SMS) RESOLVE in breast lesions. Approach: EPI-DL and RESOLVE breast images from 20 participants were qualitatively evaluated ed. Quantitative image quality metrics of SNR and CNR on both high b-value (b800) images and ADC maps were calculated. Results: SNR in RESOLVE vs. EP-DL differed statistically significantly in manually delineations for b800 (p=0.006), ADC maps (p=0.001), and in ADC circularly delineations (p=0.001). Impact: DWI-DL reconstruction may be clinically useful for addressing low-spatial resolution without compromising acquisition time and image quality. Such benefits coupled with the available methods of readout segmentation and SMS acquisitions may further enhance the value of DWI in breast imaging.
Free breathing Dual-excitation flip-angle 3D T1 mapping using randomized stack of spiral acquisition
Authors: Wang Xitong , Zhou Ruixi , Yang Yang , Salerno Michael
Published: November 2024

Motivation: Cardiac MR (CMR) imaging is a widely used technique that provides important diagnostic and prognostic information in cardiomyopathy. T1 maps and LGE can provide tissue characterization to detect myocardial fibrosis. Goal(s): Our group has developed a 2D free-breathing and self-gated cine and T1 mapping acquisition CAT-SPARCS. This work is to extend the acquisition to 3D T1 mapping. Approach: The proposed acquisition is enabled in a single free-running randomized stack of spiral sequence with a 3-minute acquisition and T1 map is reconstructed by dictionary learning method. Results: The T1 values from the proposed method are comparable to the clinically standard MOLLI sequence. Impact: Our technique could substantially shorten the clinical scan time providing both cine and T1 mapping images.
Entropy of MRI T1 mapping as a novel biomarker to evaluate heart diastolic function and stiffness
Authors: Zhang Lili , Hauge-Iversen Ida Marie , Norden Einar S. , Kim Haelin , Sjaastad Ivar , Espe Emil
Published: November 2024

Motivation: Cardiac T1 maps are a promising choice for texture analysis due to their pixel values originating from fitting, making them less prone to variations. Entropy of T1 map as a measure of myocardial tissue heterogeneity may reflect the disruption of myocardial fiber structure and/or the infiltration of extracellular matrix. Goal(s): We aim to investigate the relationship between myocardial tissue properties and diastolic function, as well as myocardium stiffness. Approach: We applied TA on native T1 maps of a pressure-overload rat model 12 weeks after the operation. Results: Entropy exhibited a strong correlation with both chamber stiffness and diastolic function biomarkers. Impact: Our data indicates that impaired diastolic function may be due to disorganized/disrupted myocardium, rather than increased fibrosis solely. Our research sheds new light on understanding the relationship between extracellular matrix and cardiac function.
Patch-based Motion-compensated Image Filter to Improve SNR of Free-Breathing Whole Heart Cardiac MR Late Gadolinium Enhancement Images at 0.55T
Authors: Ding Yu , Liu Yingmin , Chen Chong , Varghese Juliet , Binzel Katherine , Jin Ning , Ahmad Rizwan , Simonetti Orlando
Published: November 2024

Motivation: Low-field wide-bore MRI scanners are cost-effective but suffer from lower SNR, impacting myocardial LGE image quality.Goal(s): To introduce and evaluate a novel imaging strategy that offers full heart coverage and reduces image count by 50%.Approach: Developed a sequence acquiring 45-55 overlapped short-axis 2-D slices with patch-based motion compensated filtering to enhance SNR.Results: The new technique improved SNR in whole heart coverage LGE imaging at 0.55T, though further studies with scarred myocardium are needed.Impact: This study advances cardiac MRI by demonstrating that a novel LGE imaging technique coupled with MC-KW patch filtering substantially enhances SNR in low-field wide-bore scanners, promising improved myocardial scar detection at reduced costs.
Non-Contrast Myocardium Perfusion using Stacks-of-Stars (SoS) Time-SLIP
Authors: Vucevic Diana , Malis Vadim , Kim Paul , Miyazaki Mitsue
Published: November 2024

Motivation: Coronary Arterial Disease (CAD) evaluations often require myocardium perfusion exams. Many CAD patients also have stents which makes difficult to evaluate images due to susceptibility artifacts. A reliable non-contrast MR perfusion technique in CAD patients with stents is needed. Goal(s): To introduce Time-SLIP technique with Stack-of-Stars (SoS) sequence for more inclusive myocardial assessments without the need for contrast mediums. Approach: Implemented diaphragm navigator echoes and T2-prep with the SoS sequence, refined through phantom trials, for tagging the proximal aortic root blood flow to visualize myocardial perfusion. Results: Preliminary in-vivo scans indicate reduced stent-related artifacts and the feasibility of non-contrast perfusion quantification. Impact: Our non-contrast myocardial perfusion approach offers a safer CAD evaluation, reducing risks from contrast agents. This method opens doors for inclusive patient assessments and encourages further refinement in non-invasive cardiac diagnostics.
Ferumoxytol-enhanced Cardiac MRI for Delineation of Intramyocardial Hemorrhage
Authors: Pogosyan Arutyun , Colbert Caroline , Keushkerian Mary , Fishbein Gregory , Currier Jesse , Finn J. Paul , Nguyen Kim-Lien
Published: November 2024

Motivation: Intramyocardial hemorrhage (IMH) frequently occurs in acute myocardial infarction (AMI) and is associated with adverse outcomes. While T2* cardiac magnetic resonance (CMR) imaging has emerged as the reference standard for noninvasive IMH detection, it relies on the paramagnetic properties of hemoglobin breakdown products, usually detectable between 1 and 3 days following IMH. Goal(s): We demonstrate an alternative approach that can more promptly detect active myocardial bleeding. Approach: We leveraged the T1 shortening effects of intravascular ferumoxytol to identify IMH following acute ischemia-reperfusion injury. Results: Ferumoxytol-enhanced CMR depiction of IMH were in agreement with gross and histologic evaluations. Impact: We demonstrate the effectiveness of ferumoxytol-enhanced cardiovascular magnetic resonance (FE-CMR) in detecting active intramyocardial hemorrhage after ischemia-reperfusion injury. This may facilitate the development, testing, and clinical adoption of strategies to mitigate IMH-associated complications.
Gray-Blood Late Gadolinium Enhancement (GB-LGE) for Improved Myocardial Scar Evaluation
Authors: Zhang Lingjie , He Chengbin , Ma Siying , Wang Fuyan , Qian Yue , Wu Yunzhu , Hu Hongjie
Published: November 2024

Motivation: Traditional bright-blood late gadolinium enhancement (BB-LGE) technique often obscures the visualization of endocardial LGE. In contrast, black blood technique overcomes this limitation but sacrifices contrast between the myocardium and blood pool. Goal(s): By selecting specific TI (inversion time) values, gray blood images can be generated to achieve the desired contrast among the blood pool, myocardium, and scar tissue. Approach: We conducted a comparative analysis of image quality, diagnostic confidence score, detection of delayed enhancement lesions, and the contrast-to-noise ratio (CNR) between BB-LGE and GB-LGE. Results: The implementation of GB-LGE enhances diagnostic confidence and improves CNR between the blood pool and myocardial scar tissue. Impact: The proposed GB-LGE sequence in this study enhances scar detection rates and diagnostic confidence, addressing limitations associated with equipment and technology. It optimizes clinical workflow efficiency while offering a universal approach with potential for widespread adoption.
Quantification of Myocardial Blood Flow using Radial Simultaneous Multi-Slice Perfusion MRI
Authors: Fan Lexiaozi , Tian Ye , Adluru Ganesh , Mendes Jason , Hsu Li-Yueh , Wilcox Jane , DiBella Edward , Lee Daniel , Kim Daniel
Published: November 2024

Motivation: While simultaneous multi-slice (SMS) excitation has been proposed to increase the myocardial coverage for cardiac perfusion MRI, its influence on the quantification of myocardial blood flow (MBF) has not been evaluated. Goal(s): To determine whether SMS with multiband factor of two preserves accuracy in the quantification of MBF compared with the corresponding perfusion MRI with single-slice excitation. Approach: We prospectively enrolled six patients and performed standard and SMS perfusion MRI back-to-back and calculated the arterial input function (AIF) and resting MBF. Results: Both the AIF and MBF values calculated from the datasets acquired with the two perfusion sequences were comparable. Impact: This study demonstrates feasibility of utilizing a 2D simultaneous multi-slice (SMS) (multiband factor = 2) perfusion sequence to increase the myocardial coverage and quantify the myocardial blood flow to help coronary artery disease diagnosis.
Evaluation of Therapeutic Effect of Myocardial Infarction Patch Using Cardiac Magnetic Resonance Imaging
Authors: He Chengbin , Zhang Lingjie , Wang Fuyan , Ma Siying , Zhou Junjie , Xu Jiaqi , Wu Yunzhu , Hu Hongjie
Published: November 2024

Motivation: Evaluation of therapeutic effect of myocardial infarction（MI） patch using cardiac magnetic resonance （CMR） imagingGoal(s): Cooperation between medicine and polymer scienceApproach: We made a pig model of MI. The MI pigs in the patch group attached the patch to the epicardial side, while the MI pigs in the control group were not treated. We performed CMR imaging before operation, 2 weeks and 8 weeks after modeling. Finally, the heart was taken for pathological verification. Results: Compared with the control group, the patch group pig had thicker ventricular wall, better cardiac function and smaller LGE%. Histology and imaging correspond well. Impact: By non-invasively analyzing the heart's structure and function, CMR helps us evaluate the potential of using patches to treat MI and offers valuable insights for preventing ventricular aneurysms after heart attacks in clinical practice.
Acceleration of IR-prepared Ultra Short Echo Time Imaging of Bones exploiting a Plug-and-Play Denoising Prior
Authors: Nunn Philipp , Schad Oliver , Grunz Jan-Peter , Tran-Gia Johannes , Wech Tobias
Published: November 2024

Motivation: (IR-)UTE MRI enables (quantitative) investigation of bony tissue. Imaging protocols, however, are still time consuming. Goal(s): To develop a reconstruction method, which can transfer undersampled / accelerated IR-UTE scans of bone into high quality images. Approach: A thresholded Landweber algorithm was implemented, which uses both an L1-sparsity model and a pre-trained denoising convolutional network as regularizers of the physical MR model. Results: The reconstruction method was capable of delivering superior image quality compared to reconstructions based on straightforward NUFFT or iterative SENSE, especially in the case of significant undersampling. Impact: IR-UTE imaging accelerated by our proposed reconstruction based on L1-sparsity and a pre-trained denoising convolutional neural network shortens investigations by a factor of up to five, thereby facilitating further research on the topic as well as clinical transfer.
Mapping human skeletal muscle glycogen in Pompe disease patients
Authors: Zeng Qing , Walter Glenn , van Zijl Peter , Corti Manuela , Gentry Matthew , Sun Ramon , Byrne Barry , Yadav Nirbhay
Published: November 2024

Motivation: Pompe disease is a glycogen storage disease which leads to abnormal glycogen accumulation in tissues such as skeletal muscle, but there is a lack of suitable noninvasive methods to assess disease progression and treatment response. Goal(s): To develop an MRI method for assessing glycogen levels in skeletal muscle of Pompe disease patients. Approach: We used glycoNOE MRI to detect glycogen and quantified signals using a Voigt and polynomial hybrid lineshape fitting model. Results: The glycoNOE signals showed significantly higher glycoNOE contrast in skeletal muscle for Pompe patients compared to the control (p < 0.0001). Impact: Glycogen level is an import marker for Pompe disease. Our proposed method is expected to be a useful tool for assessing disease progression and treatment response in Pompe disease and other glycogen storage diseases.
Quantitative MRI Evaluation of the Supraspinatus-Deltoid Muscle Force Couple with T2* Mapping
Authors: Argentieri Erin , Larson Peder , Lansdown Drew , Feeley Brian , Majumdar Sharmila , Han Misung
Published: November 2024

Motivation: No previous studies have evaluated relative supraspinatus-deltoid force couple (Supra-Delt-FC) muscle T2*-metrics or considered their potential as biomarkers for Supra-Delt-FC functionGoal(s): Evaluate/compare Supra-Delt-FC T2*-values within 6 supraspinatus injured-case, and 6 (age/sex matched) uninjured-control subjectsApproach: Unilateral, 3T, 3D-Cones, 15-echo-UTE MRI acquisitions were utilized for calculation and evaluation of Supra-Delt-FC muscle T2*-valuesResults: Independent evaluations of deltoid and supraspinatus muscle T2*-values revealed no significant differences between injured-case and uninjured-control subjects. However, evaluation of relative T2*-metrics (mean difference & FC-ratios) revealed significant case-to-control differences – suggesting that relative supraspinatus-to-deltoid T2* metrics may be more sensitive to alterations in Supra-Delt-FC and shoulder function following injuryImpact: While independent comparisons of respective supraspinatus and deltoid muscle T2*-values revealed no significant case-to-control differences, relative Supra-Delt-FC muscle T2*-metrics were significantly different between groups. Results suggest that relative Supra-Delt-FC muscle T2*-metrics may be more sensitive to alterations in Supra-Delt-FC function.
Texture analysis of T1 and T2 weighted images allows to identify STZ-induced diabetic sarcopenia rats with skeletal muscle fiber atrophy
Authors: Xing Dong , Zha Yunfei
Published: November 2024

Motivation: Looking for a convenient tool to detect the skeletal muscle fiber atrophy non-invasively in the early stage of diabetic sarcopenia. Goal(s): This study aims to assess the pathological changes in skeletal muscle of diabetic sarcopenia rats using muscle MR texture analysis. Approach: Type 1 diabetic sarcopenia rat model was conducted via STZ intraperitoneal injection. 2D MR texture features of the gastrocnemius muscle were extracted, followed by histopathological examination using HE stains. Results: Muscle MR texture features exhibited significant differences between the diabetic sarcopenia group and the control group, and demonstrated a strong correlation with pathological characteristics of skeletal muscle fibers. Impact: Texture features derived from muscle MR images show potential for non-invasively identifying skeletal muscle atrophy in diabetic sarcopenic rats and providing insights into underlying disease mechanisms.
Progression of Miyoshi muscular dystrophy monitored by quantitative MRI
Authors: Just Ivica , Hnilicova Petra , Klepochova Radka , Trattnig Siegfried , Koprusakova Monika Turcanova , Kolisek Martin , Krššák Martin
Published: November 2024

Motivation: To characterize the skeletal muscle and assess progression of the Miyoshi dystrophy by quantitative MRI. Goal(s): Compare the changes in fat fractions in individual calf muscles 10 months apart in time. Approach: Lower extremity of 4 dystrophic patients were measured in 3T scanner by multiecho-Dixon sequence in two time points. Three asymptomatic DYSF gene carriers served as reference. Results: Fat fraction increased in all measured muscles in dystrophic patients while staying stable in controls. The most significant increments were detected in the muscles most preserved (TP, FDL, EXT, FHL). Variation can be observed even within the patients with the same genotype. Impact: Using quantitative analysis based on automatically generated fat fraction maps for assessment of Miyoshi dystrophy in muscles allow clinically feasible monitoring of the disease progression and description of the pattern of the disease.
Vertebral Bone Quality Score and Paraspinal Muscles Fat Infiltration in Chronic Low Back Pain: A Prospective Cross-Sectional Study
Authors: xin Chen Jia , Yilong Huang , Chunli Li , Lisha Nie , Bo He
Published: November 2024

Motivation: The relationship between paraspinal muscles fat infiltration and vertebral body changes remain unclear. So motivation is to explore the relationship between the two and gain new insights about their interaction. Goal(s): This study is to determine whether there is a correlation between paraspinal muscles fat infiltration and VBQ score and MCs. Approach: A multimodal magnetic resonance imaging technique was employed to assess paraspinal muscles fat infiltration, VBQ score, and MCs in patients with CLBPResults: There is no significant difference in paraspinal muscles PDFF between Modic classification. A positive linear relationship is observed between VBQ and total paraspinal muscles PDFF. Impact: These findings contribute to our understanding of the association between paraspinal muscles fat infiltration and VBQ in CLBP patients. Further research can explore the clinical implications of these findings to improve alleviate CLBP symptoms.
UTE MRI of Discovertebral Junction in Chronic Low Back Pain Subjects
Authors: Bae Won
Published: November 2024

Motivation: Despite crucial roles in normal function of the lumbar spine, discovertebral junction (DVJ) is seldom evaluated during MRI. Goal(s): Using ultrashort echo time (UTE) MRI, evaluate DVJ in subjects with chronic low back pain and asymptomatic controls. Approach: Disc degeneration was assessed using Pfirrmann grading on the conventional spin echo T2, while DVJ morphology was assess using UTE MRI. Effect of low back pain on disc degeneration and abnormal DVJ morphology was assessed. Results: UTE MRI of the DVJ was feasible in vivo. In the symptomatic group, statistically greater prevalence of disc degeneration and abnormal DVJ morphology were found, suggesting a possible pain-correlation. Impact: This study advances MR imaging of the lumbar spine, suggesting that DVJ may be implicated in low back pain and the need for wider assessment of DVJ in routine lumbar MRI.
Correlation between MRI manifestations of lumbar disc herniation and fatty infiltration of paravertebral muscles and chronic low back pain
Authors: mou zhanglin , yi wenfang , huang yilong , he bo , nie lisha
Published: November 2024

Motivation: Chronic low back pain (CLBP) is frequently associated with fatty infiltration and alterations in the cross-sectional area (CSA) of the paravertebral muscles. However, the precise relationship between disc-related changes and paravertebral muscles remains incompletely understood. Goal(s): Study correlation between lumbar disc herniation, paravertebral muscle fat infiltration, CSA and chronic low back pain. Approach: MRI images of the lumbar spine were analyzed in patients with chronic low back pain to correlate findings with paraspinal muscle CSA and PDFF. Results: CLBP patients with disc herniation had lower PDFF in the multifidus muscle at L4/5 and reported higher pain levels (VAS score) than the control group. Impact: This study provides valuable insights for clinicians, enabling them to implement targeted interventions for CLBP patients based on specific MRI findings and key characteristics of muscle remodeling.
Prediction of vertebral fracture risk in patients with osteopenia based on MRI texture analysis
Authors: Yang Yi , Peng Junyi , Deng Kan , Zhang Zhongping , Qiu Qianyi , Zhang Xiaodong
Published: November 2024

Motivation: Fractures can be highly detrimental for the elderly population. Assessing bone density alone is insufficient in accurately predicting fracture risk in osteopenia patients with and without fragility fracture. MRI can provide additional information on vertebral strength. Goal(s): To develop and validate a three-dimensional texture analysis method based on MRI for quantifying grayscale and distribution information of vertebrae. Approach: We extracted MR texture features of the L4 vertebra and selected the most relevant features. A logistic regression model was established for fracture risk prediction. Results: In a comprehensive model, the training and testing set achieved an AUC of 0.84 and 0.80 respectively. Impact: Detecting subtle texture information that is imperceptible to the naked eye during the osteopenia stage. Analyzing these texture features specifically can help slow down the process of bone loss.
Localization of Back Pain by Assessment of Sigma-1 Receptor Expression using PET/MR imaging
Authors: van der Heijden Rianne , Haider Ghani , Biswal Sandip , Veeravagu Anand
Published: November 2024

Motivation: Diagnosis of chronic low back pain remains a challenge with conventional diagnostic methods leading to unsatisfactory treatment in a vast majority of patients. Goal(s): To investigate the use of sigma-1 receptor (S1R) radioligand, [18F] FTC-146 in conjunction with positron emission tomography/magnetic resonance imaging (PET/MRI) for identifying the pain generator in chronic low back pain. Approach: Correlation of [18F] FTC-146 PET-MRI imaging in patients with unresolved chronic low back pain to clinical findings. Results: S1R PET/MRI imaging matched the clinical diagnosis in all cases. Additionally, it offered benefit over traditional MRI by identifying additional “functional” findings both within and outside the spine. Impact: Future clinical implementation of S1R-PET/MR can potentially help reveal previously unidentified pain generator in patients with chronic low back pain that have exhausted standard clinical care leading to better-targeted treatment.
Rapid fabrication of integrated liquid metal stretchable receiver coils using 3D printing.
Authors: Vazquez Rigoberto , Motovilova Elizaveta , Robb Fraser , Winkler Simone
Published: November 2024

Motivation: Most commercial MRI coil designs are rigid, prohibiting optimal SNR and patient comfort. Flexible coils conform to anatomies varying in size/shape and significantly improve image quality in applications such as breast imaging. Goal(s): We optimize manufacturing of our previously developed stretchable coils by direct integration of liquid metal within the polymeric coil substrate to allow for rapid one-step fabrication of multi-element arrays in the future. Approach: Liquid metal is directly 3D printed on the substrate to expedite/integrate fabrication. Results: A stretchable single element is fabricated and resonance at the 3T Larmor frequency is demonstrated. Impact: Our novel 3D printing technique simplifies the production of stretchable liquid metal MRI coils, ensuring consistent quality and efficiency. With reduced fabrication time and elimination of manual injection steps, this technology facilitates seamless construction of multi-channel stretchable coil arrays.
Potential of Metasurface Resonators for Low-Field MRI Systems
Authors: Kowal Robert , Hubmann Max , Knull Lucas , Düx Daniel , Gutberlet Marcel , Hensen Bennet , Maier Florian , Wacker Frank , Speck Oliver , Maune Holger
Published: November 2024

Motivation: Although lower B0 field strength generally lead to lower SNR, metasurface resonators can greatly increase the sensitivity of scanner-integrated coils to practically perform wireless imaging. Goal(s): This work investigates the dependence of the resonance frequency on metasurface enhancements and evaluates the potential towards developments designed for low-field applications. Approach: The capabilities of three geometrically identical metasurfaces were experimentally compared at field strengths of 0.55T, 1.5T and 3T. Images were acquired using the table-integrated spine-coils. Results: The achieved SNR enhancements beneath the metasurface increased with lower field strength and were highest at 0.55T with 27-fold gain. Impact: The significant SNR gain achieved at low-field paves the way for further development and implementation of wireless metasurface technologies in MRI. As flexible and cost-effective alternatives or additions to conventional coils, they can additionally ease patient postitioning.
Wireless MRI data transfer with an Integrated/Radio-frequency Wireless Spiral Coil Design for low-field portable MRI over cellular networks.
Authors: Dickinson Olivia , Truong Trong-Kha , Song Allen , Stockmann Jason , Cooley Clarissa , Darnell Dean
Published: November 2024

Motivation: Wireless transmission of MRI data acquired with low-field portable MRI scanners within EMT vehicles over cellular/satellite networks drastically decreases time between stoke onset and imaging for improved patient outcomes. Goal(s): Our goal is to enable wireless communication with an iRFW coil design for simultaneously imaging and wireless cellular/satellite data transfer from within the scanner and an EMT vehicle. Approach: iRFW-Cellular simulations within a portable 70 mT scanner are performed to evaluate its SNR and far-field gain patterns for wireless communication. Results: The iRFW-Cellular simulations showed a uniform SNR in the head and gain patterns appropriate for the wireless transmission of MRI data. Impact: The iRFW-Cellular spiral coil design potentially enables wireless MRI data transfer from a low-field portable MRI scanner inside, or out, of an EMT vehicle for better stroke onset to imaging times.