ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Joint Imaging

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Joint Imaging
Digital Poster
Musculoskeletal
Tuesday, 13 May 2025
Exhibition Hall
16:45 -  17:45
Session Number: D-138
No CME/CE Credit

 
Computer Number: 65
3088. Deep Learning Image Reconstruction of Accelerated 3D Cartesian Phase-Cycled bSSFP for Quantitative Mapping
M. Gilsing, B. Açikgöz, L. Feng, C. Gräni, J. Bastiaansen, E. Peper
Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
Impact: The need for accelerated acquisitions in phase-cycled bSSFP significantly prolongs reconstruction times, necessitating efficient reconstruction techniques. This study demonstrates that deep learning achieves a feasible 20s reconstruction time while maintaining accurate fat fraction measurements in the knee of three volunteers. 
 
Computer Number: 66
3089. Time and SAR efficiency in Imaging of Metal Orthopedic Hardware Utilizing Optimized Turbo Spin Echo Sequences
M. Keerthivasan, M. Bruno, J. Fritz, I. Khodarahmi
Siemens Medical Solutions USA Inc, New York, United States
Impact: Metal artifact reduction sequences that utilize the proposed variable flip angle framework result in lower SAR and scan time without any loss in image quality.
 
Computer Number: 67
3090. Qualitative Assessment of Knee Joint Osseous Abnormalities Using 7T Zero Echo Time MRI: A Comparison with CT
M. Zhang, J. Tang, X. Zhang, B. Zhang, H. Liang, Z. Li
West China Hospital, Sichuan University, Chengdu, China
Impact: This study highlights 7T ZTE as a promising, non-invasive, and radiation-free alternative for evaluating knee joint bone abnormalities, potentially enhancing clinical diagnostic accuracy and patient safety.
 
Computer Number: 68
3091. Enhancing fluid signal in short-TR, STIR-prepared Slice Encoding for Metal Artifact Correction (SEMAC) imaging of a total hip arthroplasty.
C. von Deuster, J. Deck, R. Sutter, D. Nanz
Siemens Healthineers, Zurich, Switzerland
Impact: This innovation promises to improve the diagnostic accuracy in assessing patients with loosened implants by shortening scan times of Slice Encoding for Metal Artifact Correction (SEMAC) sequences under preservation of fluid-signal intensity while providing even increased fluid-tissue contrast. 
 
Computer Number: 69
3092. Improving Fat Saturation in Upper Extremity MRI with a Local Shim Coil Insert
Z. Long, N. Binesh, A. Malagi, Y. Shang, L-T Huang, J. Zepeda, F. Michael Serry, D. Li, H-J Yang, H. Han
Weill Cornell Medicine, New York, United States
Impact: A simple and practical hardware solution to enhance Fat-Sat in musculoskeletal MRI for  off-isocenter regions has been developed and tested, expanding MRI accessibility for a broader range of patients.
 
Computer Number: 70
3093. Assessing the healing of juvenile osteochondritis dissecans lesions quantitatively with a 7T 3D MRI sequence and T2* mapping
S. Bachigari, R. Raikar, M. Newcome, A. Kajabi, B. Burg, M. Tompkins, J. Ellermann, E. Hedayati
University of Minnesota, Minneapolis, United States
Impact: We found that JOCD lesions can be differentiated as healers or non-healers, as early as 3 months, by utilizing T2* mapping with 7T MRI. Previously, this was not possible at the 1.5T and 3T standards widely used by clinicians.
 
Computer Number: 71
3094. Acceleration of Phase-Modulated UTE Sequences for Fast T2 and T1rho Mapping of Knee joints
J. Athertya, D. Moazamian, A. Suprana, J. Lo, S. H. Shin, J. Wang, N. Shojaeiadib, S. Jerban, C. Chung, E. Chang, J. Du, Y. Ma
Department of Radiology, UCSD, San Diego, United States
Impact: The accelerated PM-UTE technique enables fast and accurate measurement of both short and long T2 tissue components in the human knee joint, showing strong potential for clinical translation in the quantitative assessment of osteoarthritis.
 
Computer Number: 72
3095. Super-resolution reconstruction of Knee MRI at 3T and 7T based on the Hybrid Attention Transformer
P. Chen, L. Xu, B. Pan, J. Li, X. Yang, Y. Wang, W. Chen, L. Qian, N-j Gong, W. Chen
7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China., Chong Qing, China
Impact: This study demonstrates the potential of accurately identifying and characterizing peripheral nerve pathology in the extremities utilizing 3D DESS and PD-TSE FS sequences at 7T MR.
 
Computer Number: 73
3096. Application of 7T zero echo time MRI in assessing the osteochondral lesions of talus: a feasibility study
Y. Zhang, Y. Zhang, M. Zhang, Z. Ye, H. Liang, B. Zhang, Z. Li, J. Tang
West China Hospital of Sichuan University, Chengdu, China
Impact: This research paves the way for non-invasive, radiation-free imaging of OLT, enhancing surgical planning and patient safety. Future investigations can explore ZTE’s application in other joint diseases, potentially transforming diagnostic protocols in vulnerable populations.
 
Computer Number: 74
3097. Non-inferiority assessment of accelerated knee MRI protocols in routine clinical practice
P. Johnson, S. Dogra, M. Westerhoff, J. Fritz, D. Lin, M. Recht
Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, United States
Impact: This study demonstrates that accelerated knee MRI protocols can maintain diagnostic accuracy for meniscal and ACL tear detection, supporting their use in clinical practice to improve efficiency without compromising patient care. 
 
Computer Number: 75
3098. 7T Translational Alliance of North America (7TANA) Musculoskeletal Protocol Survey – State-of-the-Art and Potential Towards a Common Protocol
A. W. Kajabi, E. Hedayati, S. Zbyn, X. Li, K. Amrami, A. Fagan, S. Fahrenholtz, R. Regatte, K. Ohashi, S. Smith, D. Wang, J. Ellermann
University of Minnesota, Minneapolis, United States
Impact: Despite notable differences in hardware and software across the 7T sites, developing a common protocol through community consensus is achievable. These protocols will be accessible on the 7TANA website (www.7TANA.org) to promote the translation of 7T MRI into clinical practice.
 
Computer Number: 76
3099. Single PD-FSE Knee MR Image Transformation Into Water, Fat and Field Inhomogeneity Images at 0.5T
H. Agarwal, H. Yang, U. Patil, L. Ferenczi, G. Avinash, R. Venkatesan
GE HealthCare, Bangalore, India
Impact: Proposed method can reduce the acquisition time to obtain fat suppressed MRI at low field strength.
 
Computer Number: 77
3100. Feasibility and Clinical Utility of Deep Learning-Based Composite Super-Resolution Reconstruction for Knee MRI
X. Zhu, J. Shi, J. Ye, W. Huang, W. Xia, Z. Bao
Northern Jiangsu People's Hospital, Yangzhou, China
Impact: The practice of deep learning-based super-resolution reconstruction would be beneficial for knee MRI overall diagnostic quality and efficiency, further enhancing patient comfort and clinical workflow.
 
Computer Number: 78
3101. Comparison of MR Cortical Bone Imaging for the Assessment of the Sacroiliac Joint: FRACTURE ( 3D Gradient Echo Sequence ) vs BoneVIEW ( UTE Sequence )
M. Hase, T. Nozaki, M. Arai, J. Tsuzaki, Y. Tsujioka, H. Mori, K. Hase, R. Tsukada, D. Ito, T. Habe, H. Sakata, M. Yoneyama, Y. Yamada, M. Jinzaki
Keio University school of medicine, Tokyo, Japan
Impact: Clarifying the differences between FRACTURE and BoneVIEW deepens understanding of each sequence and may lead to improvements that optimize their clinical applications for more accurate and effective sacroiliac joint assessment.
 
Computer Number: 79
3102. Clinical Application of 5T Ultra-high-Field Knee MRI: A Comparative Study with 3T MRI
S. Liu, H. Yuan
Peking university third hosipital, Beijing, China
Impact: The 5T MRI shows potential for small joint imaging with strong artifact control and fat suppression. Further research is needed to enhance 3D PDWI sequence quality.
 
Computer Number: 80
3103. Transformer-based fast image reconstruction for high fidelity MR knee imaging: an evaluation study
Y. Zhang, Z. Xu, J. Qi
GE Healthcare, Beijing, China
Impact: This transformer-based method offers a promising solution for faster MRI reconstruction, potentially improving clinical efficiency and outcomes in musculoskeletal imaging.
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