ISMRM & ISMRT Annual Meeting & Exhibition • 03-08 June 2023 • Toronto, ON, Canada

ISMRM & ISMRT Annual Meeting & Exhibition

ISMRT Oral

1st, 2nd & 3rd Place Research & Clinical Poster Winners

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1st, 2nd & 3rd Place Research & Clinical Poster Winners
ISMRT Poster Presentations
Friday, 02 June 2023
Constitution Hall 106
18:00 -  19:00
Session Number: ISMRT-PW
No CME/CE Credit

18:00 5390.
The benefits of ZTE to standard MRI practice
Helen L Prince1
1MRI, CUH Addenbrookes UK, Newmarket, United Kingdom
In theory a ZTE or Zero Echo Time could visualise and benefit MRI imaging of any joint. It can be used in a wide spectrum of developmental, traumatic, inflammatory, rheumatologic and oncologic conditions. It may remove the need for CT with detailed depiction of bone anatomy. It opens the doors for more MRI based research into many musculoskeletal conditions and morphometric analysis. One MRI examination with a ZTE sequence allows cross referencing of sequences aiding diagnosis, prognostication and surgical guidance in soft tissue and bone with precise measurements that involve bony landmarks.
18:00 5391.
Clinical Impact of Single Breath Hold Contrast Enhanced 4D-MRA with High Temporal and Spatial Resolution without k-space Data Sharing Techniques
Tatsunori Saho1, Johshin Matsuzaki1, Chihiro Hayashida1, and Takahiro Kubota1
1Dept. of Radiological technology, Kokura memorial hospital, Kitakyushu, Japan
For evaluation of arteriovenous malformations, contrast-enhanced 4D-MRA is useful to detect feeding arteries and draining veins. However, with the Keyhole technique, contamination of different phases is a major problem. We solved this problem by applying parallel imaging with compressed sensing to contrast-enhanced 4D-MRA(CS-4D-MRA). CS-4D-MRA was able to acquire images without contamination of the arterial phase with echo signals from the venous phase. It also had high temporal and spatial resolution, and was able to clearly visualize the feeder and the drainer.
18:00 5392.
Diffusion imaging: multi-shell DTI on a whole-body 3T scanner versus a head-only MAGNUS 3T for traumatic brain injury evaluation
Gail H Kohls1,2, Herman Douglas Morris1,2, Maureen N Hood1,2, James Kevin DeMarco1,2, and Thomas KF Foo1,3
1Radiology & Radiological Sciences, USUHS, Bethesda, MD, United States, 2Radiology, Walter Reed National Military Medical Center, Bethesda, MD, United States, 3GE Research Center, Niskayuna, NY, United States

Diffusion imaging has progressed beyond standard DTI to mutli-shell and non-Gaussian techniques to improve upon the sensitivity of detecting multiple fiber angles in a voxel. Newer high-gradient scanners are able to further expand the capabilities of these advanced DTI sequences to help us improve upon the detection of complex fiber tracks in voxels, which is important in the evaluation and treatment of traumatic brain injury. These new technologies hold promise to improve our understanding of the movement of microcellular fluids.

18:00 5393.
RA synovitis segmentation based on unsupervised learning and TIC signal data on DCE-MRI
YiJun Mao1,2, Wanxuan Fang2, Yujie An2, Hiroyuki Sugimori1, Shinji Kiuch3, and Tamotsu Kamishima1
1Faculty of Health Sciences, Hokkaido University, Sapporo, Japan, Sapporo, Japan, 2Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan, Sapporo, Japan, 3AIC Yaesu Clinic, Tokyo, Japan, Tokyo, Japan

Keywords: Rheumatoid Arthritis, DSC & DCE Perfusion   The volume of synovitis change is one of the most important pathological features of rheumatoid arthritis. By quantitative analysis of the enhancement of synovitis, we can define the degree of the disease, and determine the treatment and diagnosis. Considering the time-consuming of manual outlining and visual assessment, this study uses machine learning methods to conduct quantitative analysis of TIC, and proposes an unsupervised learning method with excellent results, which is expected to be an alternative for the gold-standard manual synovitis contour outlining.

18:00 5394.
Technologist Assessment of a Realtime Motion Monitoring System for fMRI Exams
Kristina M. Pelkola1,2, Norman Farrar1, Alyssa Ailion3, Tess Wallace1,2, Onur Afacan1,2, Yao Sui1,2, and Simon K. Warfield1,2
1Radiology, Boston Children's Hospital, Boston, MA, United States, 2Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, United States, 3Neurology, Boston Children's Hospital, Boston, MA, United States
Visit any magnetic resonance imaging (MRI) facility, and all will agree that patient motion is an ongoing matter. This holds particularly true for pediatric facilities performing functional MRI (fMRI) exams. During fMRI exams, motion artifacts are subtle and contribute to data corruption which is not discovered until the data is analyzed. To enable the technologist to intervene when motion occurs, a real-time motion monitoring system “Slice Localization Integrated MRI Monitoring” (SLIMM) was established to detect motion and reduce the amount of scan time necessary while simultaneously increasing the quality of data collected.
18:00 5395.
Evaluation of T1 relaxation time measurement using magnetic resonance spectroscopy unobstructed by the presence of fat: A liver phantom study.
Makoto Suzuki1, Tatsyuya Hayashi2, Kazutaka Nashiki1, Hidemichi Kawata1, Shuji Nagata3, and Toshi Abe3
1Department of Radiological technology, Kurume University Hospital, Kurume, Japan, 2Department of Radiological Technology, Faculty of Medical Technology, Teikyo University, Tokyo, Japan, 3Department of Radiology, Kurume University School of Medicine, Kurume, Japan
We investigated the usefulness of magnetic resonance spectroscopy (MRS) for water T1 relaxation time independent on the presence of fat in the liver phantom. Then,T1 relaxation time measurements were performed using inversion recovery-spin echo, modified look locker, variable flip angle, and MRS on a 3T-MRI system. T1 relaxation time measurement by the MRS water signal is less affected by the presence of fat and more accurate than the other methods. This technique does not use special research sequences and can be realized on clinical MRI scanner where MRS can be performed. 
 

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