ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
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Computer Number: 97
3907. Utilizing
Diffusion Models to Evaluate Brain Glymphatic Function Through
Perivascular Space Enlargement Analysis
C-H M. Ding, C-C H. Hsu, S. T. Chong, C-Y Z. Lo, C-P Lin
National Yang Ming Chiao Tung University, Taipei, Taiwan
Impact: These findings enhance our understanding of the
brain's glymphatic system and guide future research into its
mechanisms, emphasizing the importance of considering
regional differences in glymphatic function's role in PVS
changes.
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Computer Number: 98
3908. Characterizing
white matter hyperintensities in myotonic dystrophy type 1
through DWI-derived metrics
M. Di Stefano, G. Canella, M. D'Angelo, N. Agarwal, D.
Peruzzo
Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
Impact: There’s no consensus on classifying WMH as PWMH
or DWMH; common definitions rely on proximity to ventricles.
IVIM-derived metrics may clarify lesions heterogeneity.
Their distinction could be critical in understanding WMH
link to cognitive decline in DM1 disease.
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Computer Number: 99
3909. Tensor-Valued
Diffusion MRI Assessment of Acute Spinal Cord Injury in Rats
J. Yuan, K. Wang, M. Liang, X. Yang, H. Lu, Y. He
Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Impact: Tensor-valued diffusion MRI is a promising
neuroimaging tool to evaluate microstructural alteration in
ASCI, especially in gray matter, helping characterize
different microstructural features of acutely injured SC for
precision medicine.
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Computer Number: 100
3910. Investigating
Hippocampal Microstructural Differences in Temporal Lobe
Epilepsy Patients with Cognitive Impairment Using NODDI
W. Yang, Y. Xiong, H. Ye, B. Chen
Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan , China
Impact: This study’s findings on hippocampal
microstructural abnormalities in TLE-CI patients can guide
early diagnosis and surgical treatments, potentially
improving cognitive outcomes. It opens avenues for further
research on bilateral impacts of unilateral TLE and
long-term disease progression.
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Computer Number: 101
3911. Iron
Deficiency Anemia is associated with extensive white matter
damage: A diffusion kurtosis analysis
S. Mejia, C. González-Zacarías, E. Carpenter, H. Salcudean,
B. Xu, S. Suriany, S. Verma, A. Joshi, P. Chiarelli, R.
Leahy, J. Wood
Children's Hospital Los Angeles, Los Angeles, United States
Impact: In iron deficiency anemia, Kurtosis imaging
showed significant differences in WM with respect to
controls; not linked to the anemia severity but consistent
with demyelination processes. Our findings highlight the
importance of timely diagnosis and treatment to prevent WM
degeneration.
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Computer Number: 102
3912. R2
as a Marker for Corticospinal Tract Integrity in Aging
M. Shao, K. Solis, I. Bennett, J. Langley, X. Hu
University of California, Riverside , Riverside, United States
Impact: The relationship between R2 and
diffusivity in CST suggests that R2 is
sensitive to subtle differences in tissue microstructure
seen in normal aging. Better measurements of CST could
improve early detection of ALS or predict post-stroke
rehabilitation outcomes.
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Computer Number: 103
3913. Jointly
Multi-Model Microstructural Estimation on Diffusion MRI with
Contextual Features Aggregation
T. Wang, J. Yu, Y. Xie, Y. He, Y. Zhai, J. Qin, Y. Wu
Nanjing University of Science and Technology, Nanjing, China
Impact: This research proposes an innovative method for
Jointly estimating Microstructure maps across acquisition
Protocols (JEMAP). It lays the groundwork for future
techniques that integrate clinical data acquisition
protocols and improve sensitivity to microstructure
measures.
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Computer Number: 104
3914. Cross-site
comparison of IVIM parameters from the feet of patients with
diabetic foot ulcers (DFU).
S. Edwards, J. Flores, G. Santamarina, M. Schechter, M.
Fayfman, D. Reiter
Emory University, Atlanta, United States
Impact: IVIM imaging provides markers of microvascular
properties associated with poor wound healing. We report
initial comparisons of IVIM parameters in diabetic foot
ulcer patients obtained using two different scanner
configurations and DWI sequences.
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Computer Number: 105
3915. Stability
Analysis in Pediatric Diagnostic Evaluation of Tuberous
Dclerosis Complex via Neurite Orientation Dispersion and Density
Imaging
L. Lin, T. Yu, R. Lin, X. Zhao, L. Lin, Y. Zhou, D. Liang,
J. Liao, H. Wang, Z. Hu
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
Impact: This study demonstrates that NODDI metrics,
particularly NDI, are stable across different MRI field
strengths, supporting their use in multi-center clinical
studies. The findings may enhance TSC diagnosis and open
avenues for further research into neurodevelopmental
disorders.
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Computer Number: 106
3916. A
Dual-Domain Denoising Method Based on Physical Intelligent
Neural Network for Diffusion Tensor Imaging
H. Zhang, F. Guan, C. Zeng, T. Gong, C. Qian, L. Lin, J.
Wang, X. Qu
Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, China
Impact: The proposed DuTD network effectively enhances
the SNR of images and describes diffusion information more
accurately in both public datasets and private Parkinson's
datasets.
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Computer Number: 107
3917. Evaluation
of diffusion MRI-based cytometry imagine based on Spearman's
correlation analysis
Z. Wang, F. Liu, L. Wu, L. Chen, S. Li, H. Bao, J. Xu, H.
Guo, D. Shi
Tanwei College, Tsinghua University, Beijing, China
Impact: Evaluation for accuracy of emerging dMRI-based
cytometry methods is limited by the lack of ground-truth,
such as pathologic staining results. This prospective study
demonstrated clinical potential of evaluating accuracy of
imaging results through correlation analysis in the absence
of ground-truth.
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Computer Number: 108
3918. Impact
of fiber dispersion in collagenous soft tissue on diffusion MRI
metrics
M. Focht, M. Kersh, A. Moghaddam, A. Wagoner Johnson, N.
Naughton
University of Illinois Urbana-Champaign, Urbana, United States
Impact: The relationships developed in this work will be
used in subject- and tissue-specific DTI-based mechanical
models of fibrous tissue. Such models can be used to predict
mechanical behavior and the potential origins of failure.
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Computer Number: 109
3919. Empirically
determined spatial properties of noise in prostate diffusion
weighted imaging
M. Medved, A. Chatterjee, B. Gundogdu, A. Oto, G. Karczmar
The University of Chicago, Chicago, United States
Impact: In prostate DWI, the internal obturator muscle
and bladder regions in the high b-value images can be used
to estimate noise levels in the prostate tissue with low
bias. This can facilitate development of quantitative QC
for prostate DWI.
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Computer Number: 110
3920. Topography
High Sensitivity of Discriminative Fibers in ASD Children with
Parcellation-Free Machine Learning Method
Q. Qi, L. Ni, J. Wang, W. Zhang, X. Zhu, Y. Li, D. Cao, X.
Duan, F. Zhang, S. Li
First Medical Center, Chinese PLA General Hospital, Beijing, China
Impact: We aim to establish a reliable classification
model for early diagnosis for ASD, which can output white
matter fibers that contribute to classification at the fiber
level,which may be meaningful for exploring the pathogenesis
and potential intervention targets of ASD.
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Computer Number: 111
3921. Examining
‘neural soma’ compartments in paediatric epilepsy to support
focal cortical dysplasia lesion detection
Y. J. Li, E. De Vita, F. D'Arco, T. Banks, K. Seunarine, M.
Ripart, K. Wagstyl, S. Adler, M. Tisdall, L. Kerkelä, T.
Baldeweg, C. Clark
University College London, London, United Kingdom
Impact:
The ‘neural soma’ model could support FCD lesion detection in a clinical setting by improving specificity between true lesions and false positives. This can inform selection of surgical resection targets and ultimately improve post-surgical outcomes and rates of seizure freedom. |
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Computer Number: 112
3922. Diffusion
Kurtosis Imaging Reveals Thalamic Microstructural Changes in
Cerebral Small Vessel Disease Patients with Mild Cognitive
Impairment
B. li, B. Zeng, P. Zeng, D. luo, L. Nie, Y. Li
The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
Impact: The microstructural changes in the thalamus
observed through DKI technology may represent a significant
mechanism contributing to cognitive decline in CSVD
patients. This finding provides a new imaging perspective
for the early diagnosis of MCI patients.
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