Highly-accelerated CEST MRI using frequency-offset-dependent k-space sampling and deep-learning reconstruction
CONCLUSION: The combination of FOD sampling and PSN reconstruction enabled highly accelerated CEST MRI acquisition, which may facilitate CEST metabolic MRI for brain tumor patients.PMID:38623899 | DOI:10.1002/mrm.30089 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Chuyu Liu Zhongsen Li Zhensen Chen Benqi Zhao Zhuozhao Zheng Xiaolei Song Source Type: research
Robust multishot diffusion-weighted imaging of the abdomen with region-based shot rejection
CONCLUSION: Region-based shot rejection is a linear reconstruction that improves the motion robustness of multi-shot DWI and requires no sequence modifications.PMID:38623901 | DOI:10.1002/mrm.30102 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Philip K Lee Xuetong Zhou Brian A Hargreaves Source Type: research
SPINNED: Simulation-based physics-informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data
CONCLUSION: These results support that the proposed SPINNED method can be a good alternative to the existing methods for resolving the deconvolution problem in DSC MRI. The proposed method does not require any separate ground-truth measurement for training and offers additional benefits of quick processing time and coverage of diverse clinical scenarios. Consequently, it will contribute to more reliable, accurate, and rapid diagnoses in clinical applications compared with the previous methods including those based on supervised learning.PMID:38623911 | DOI:10.1002/mrm.30095 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Muhammad Asaduddin Eung Yeop Kim Sung-Hong Park Source Type: research
In vivo T2 measurements of the fetal brain using single-shot fast spin echo sequences
CONCLUSION: The motion-corrected SS-FSE acquisitions with varying TEs offer a promising practical framework for quantitative T2 measurements of the moving fetus.PMID:38623934 | DOI:10.1002/mrm.30094 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Suryava Bhattacharya Anthony N Price Alena Uus Helena S Sousa Massimo Marenzana Kathleen Colford Peter Murkin Maggie Lee Lucilio Cordero-Grande Rui Pedro A G Teixeira Shaihan J Malik Maria Deprez Source Type: research
Spatiotemporal encoding MRI in a portable low-field system
CONCLUSION: SPEN MRI provides a robust and advantageous fast acquisition approach to obtain faithful 3D images and DWI data in low-cost, portable, low-field systems without parallel acceleration.PMID:38623991 | DOI:10.1002/mrm.30104 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Yueqi Qiu Ke Dai Sijie Zhong Suen Chen Changyue Wang Hao Chen Lucio Frydman Zhiyong Zhang Source Type: research
Minimizing electric fields and increasing peripheral nerve stimulation thresholds using a body gradient array coil
CONCLUSION: Our study demonstrated that gradient array coils offer a promising pathway toward achieving high-performance gradient coils regarding gradient strength, slew rate, and PNS thresholds, especially in scenarios in which linear magnetic fields are required within specific target regions.PMID:38624032 | DOI:10.1002/mrm.30109 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Reza Babaloo Ergin Atalar Source Type: research
Knowledge-driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un-supervised learning
Magn Reson Med. 2024 Apr 16. doi: 10.1002/mrm.30105. Online ahead of print.ABSTRACTDeep learning (DL) has emerged as a leading approach in accelerating MRI. It employs deep neural networks to extract knowledge from available datasets and then applies the trained networks to reconstruct accurate images from limited measurements. Unlike natural image restoration problems, MRI involves physics-based imaging processes, unique data properties, and diverse imaging tasks. This domain knowledge needs to be integrated with data-driven approaches. Our review will introduce the significant challenges faced by such knowledge-driven DL...
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Shanshan Wang Ruoyou Wu Sen Jia Alou Diakite Cheng Li Qiegen Liu Hairong Zheng Leslie Ying Source Type: research
Highly-accelerated CEST MRI using frequency-offset-dependent k-space sampling and deep-learning reconstruction
CONCLUSION: The combination of FOD sampling and PSN reconstruction enabled highly accelerated CEST MRI acquisition, which may facilitate CEST metabolic MRI for brain tumor patients.PMID:38623899 | DOI:10.1002/mrm.30089 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Chuyu Liu Zhongsen Li Zhensen Chen Benqi Zhao Zhuozhao Zheng Xiaolei Song Source Type: research
Robust multishot diffusion-weighted imaging of the abdomen with region-based shot rejection
CONCLUSION: Region-based shot rejection is a linear reconstruction that improves the motion robustness of multi-shot DWI and requires no sequence modifications.PMID:38623901 | DOI:10.1002/mrm.30102 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Philip K Lee Xuetong Zhou Brian A Hargreaves Source Type: research
SPINNED: Simulation-based physics-informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data
CONCLUSION: These results support that the proposed SPINNED method can be a good alternative to the existing methods for resolving the deconvolution problem in DSC MRI. The proposed method does not require any separate ground-truth measurement for training and offers additional benefits of quick processing time and coverage of diverse clinical scenarios. Consequently, it will contribute to more reliable, accurate, and rapid diagnoses in clinical applications compared with the previous methods including those based on supervised learning.PMID:38623911 | DOI:10.1002/mrm.30095 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Muhammad Asaduddin Eung Yeop Kim Sung-Hong Park Source Type: research
In vivo T2 measurements of the fetal brain using single-shot fast spin echo sequences
CONCLUSION: The motion-corrected SS-FSE acquisitions with varying TEs offer a promising practical framework for quantitative T2 measurements of the moving fetus.PMID:38623934 | DOI:10.1002/mrm.30094 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Suryava Bhattacharya Anthony N Price Alena Uus Helena S Sousa Massimo Marenzana Kathleen Colford Peter Murkin Maggie Lee Lucilio Cordero-Grande Rui Pedro A G Teixeira Shaihan J Malik Maria Deprez Source Type: research
Spatiotemporal encoding MRI in a portable low-field system
CONCLUSION: SPEN MRI provides a robust and advantageous fast acquisition approach to obtain faithful 3D images and DWI data in low-cost, portable, low-field systems without parallel acceleration.PMID:38623991 | DOI:10.1002/mrm.30104 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Yueqi Qiu Ke Dai Sijie Zhong Suen Chen Changyue Wang Hao Chen Lucio Frydman Zhiyong Zhang Source Type: research
Minimizing electric fields and increasing peripheral nerve stimulation thresholds using a body gradient array coil
CONCLUSION: Our study demonstrated that gradient array coils offer a promising pathway toward achieving high-performance gradient coils regarding gradient strength, slew rate, and PNS thresholds, especially in scenarios in which linear magnetic fields are required within specific target regions.PMID:38624032 | DOI:10.1002/mrm.30109 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Reza Babaloo Ergin Atalar Source Type: research
Knowledge-driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un-supervised learning
Magn Reson Med. 2024 Apr 16. doi: 10.1002/mrm.30105. Online ahead of print.ABSTRACTDeep learning (DL) has emerged as a leading approach in accelerating MRI. It employs deep neural networks to extract knowledge from available datasets and then applies the trained networks to reconstruct accurate images from limited measurements. Unlike natural image restoration problems, MRI involves physics-based imaging processes, unique data properties, and diverse imaging tasks. This domain knowledge needs to be integrated with data-driven approaches. Our review will introduce the significant challenges faced by such knowledge-driven DL...
Source: Magnetic Resonance in Medicine - April 16, 2024 Category: Radiology Authors: Shanshan Wang Ruoyou Wu Sen Jia Alou Diakite Cheng Li Qiegen Liu Hairong Zheng Leslie Ying Source Type: research
Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications
This article is part of a series published by the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group, aiming to guide and inspire the advancement and utilization of ASL beyond the scope of the 2015 consensus article.PMID:38594906 | DOI:10.1002/mrm.30091 (Source: Magnetic Resonance in Medicine)
Source: Magnetic Resonance in Medicine - April 10, 2024 Category: Radiology Authors: Joseph G Woods Eric Achten Iris Asllani Divya S Bolar Weiying Dai John A Detre Audrey P Fan Mar ía A Fernández-Seara Xavier Golay Matthias G ünther Jia Guo Luis Hernandez-Garcia Mai-Lan Ho Meher R Juttukonda Hanzhang Lu Bradley J MacIntosh Ananth J Mad Source Type: research
