Digital Poster
Perfusion & Diffusion Analysis
ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
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Computer Number: 65
3248. Moving
Beyond Single-Model Assumptions in DCE-MRI: Probabilistic Nested
Model Selection for Enhanced Tumor Microvasculature Analysis
H. Bagher-Ebadian, S. Brown, M. Ghassemi, P. Acharya, I.
Chetty, J. Ewing, B. Movsas, K. Thind
Henry Ford Health, Detroit, United States
Impact: Probabilistic nested model selection has the
potential to improve the accuracy of DCE-based
microvasculature parameter estimation. It enhanced DCE-MRI
based tumor microenvironmental information assessment, that
may translate to more precise diagnoses, targeted therapies,
and informed clinical decision-making for cancer patients.
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Computer Number: 66
3249. Arterial
input function derived using the Xiphoid process as a reference
tissue for breast DCE-MRI
X. Fan, Z. Ren, H. Abe, O. Olopade, G. Karczmar
The University of Chicago, Chicago, United States
Impact: The AIF derived using the Xiphoid-process as a
reference tissue has significantly higher peak than that
measured at descending aorta for regular-dose breast
DCE-MRI, and can be used to quantitatively analyze breast
DCE-MRI for diagnosis of breast cancer.
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Computer Number: 67
3250. AI-Driven
Classification of Medulloblastoma Tumor Subtypes Using Novel
Features Derived From Apparent Diffusion Coefficient MRI
J. Holtrop, S. Zhang, G. Robinson, A. Gajjar, A. Bag
St Jude Children's Research Hospital, Memphis, United States
Impact: This AI-based approach could enable early,
non-invasive classification of medulloblastoma subtypes,
aiding personalized treatment planning. It provides novel
features that have interoperable meaning. This work adds
another tool to aid in medulloblastoma tumor classification.
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Computer Number: 68
3251. Assessing
MP2RAGE and Contrast-Enhanced MPRAGE MRI Protocols for
Consistent Brain Measurements in Multiple Sclerosis Patients
H. Paterson, S. Mohanty, P. Wen, O. Abdullah, B. Rokers
New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
Impact: Adopting the MP2RAGE MRI protocol ensures
consistent and reliable brain volume measurements across
FreeSurfer versions, enhancing measurement reliability
critical for longitudinal studies and clinical assessments
in neurodegenerative diseases.
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Computer Number: 69
3252. An
open implementation of FSL’s eddy with volume-to-volume artifact
estimation for neuroimaging beyond diffusion MRI
J. H. Legarreta, E. Savary, C. Markiewicz, A. Rokem, M.
Norgaard, O. Esteban
Brigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, United States
Impact: We present eddymotion, an open-source framework
for volume-to-volume artifact estimation inspired by FSL
eddy. Our tool allows for easy alternative model
implementation, it can be used for non-dMRI imaging
modalities and does not have a restrictive license.
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Computer Number: 70
3253. DCE-MRI
Morphometric Assessment Predicts Chemotherapy Response in CRLM:
Prospective Comparison with Functional Parameters
H. ZHANG, T. TONG
Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China, Shanghai, China
Impact: This study reveals the potential role of MRI
morphometric features in predicting chemotherapy response in
CRLM, providing a practical and effective tool for clinical
decision-making.
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Computer Number: 71
3254. Longitudinal
DCE-MRI-Based Quantification of Tumor Morphological Complexity
for Predicting Treatment Response in Patients with Breast Cancer
Y. Huang, Y. Cao, X. Zhou, Q. Xu, G. Weng, H. Ren, X. Wang,
J. Zhang, T. Yin
Chongqing University Cancer Hospital, Chongqing, China
Impact: A model
combining clinicopathologic variables and longitudinal
fractal dimensions from DCE-MRI effectively predicts
pathologic complete response to NAC in breast cancer,
offering a valuable tool to enhance treatment
decision-making and personalized care.
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Computer Number: 72
3255. Quantification
of cerebral blood flow using non-invasive image-derived arterial
input function with [15O]-water PET/MRI
B. Wang, C. Ying, J. Lee, M. Goyal, H. An
Washington University School of Medicine, St. Louis, United States
Impact: This MRI-guided blood-free IDIF method has the
potential to serve as a noninvasive alternative for CBF
quantification in PET, improving patient comfort and
reducing procedural risks and complexities in clinical and
research settings.
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Computer Number: 73
3256. RaPPiD:
A Region-Specific MRI Metric for Assessing Glymphatic Function
and Its Relation to Sleep Quality and Cardiovascular Health
Y. Chai, H. Cen, A. Kim, G. Park, E. Lee, K. Lynch, K. W.
Kang, H. Kim
University of Southern California, South Pasadena, United States
Impact: This study's development of RaPPiD enables
precise, region-specific assessment of glymphatic function,
advancing understanding of brain waste clearance. Clinicians
may use RaPPiD to identify glymphatic impairments linked to
sleep and cardiovascular health, guiding potential
interventions and research in neurodegenerative disease.
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Computer Number: 74
3257. Voxelwise
T2 Corrected Multi-TE ASL in Meningiomas: Initial Experience
A. I. Cetin, G. Turhan, A. Mahroo, B. E. Padrela, S.
Konstandin, D. C. Hoinkiss, N-J Breutigam, V. Keil, A.
Ersen-Danyeli, K. Özduman, K. Eickel, H. Mutsaerts, M.
Günther, A. Dincer, J. Petr, E. Ozturk-Isik
Bogazici University, Istanbul, Turkey
Impact: This study demonstrated that multi-TE ASL
incorporating voxelwise T2 values can measure CBF and Tex in
meningiomas to assess tumor permeability.
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Computer Number: 75
3258. Contrast-free
3D Pulmonary Perfusion Imaging based on Multi-slice 2D MRI Scan
with PREFUL Reconstruction
D. Hu, B. Li, H. Ge, T. Li, G. Ren, J. Cai
The Hong Kong Polytechnic University, Hong Kong, China
Impact: Multiple 2D MRI scans overcome the longer
acquisition time of contrast-free MRI in perfusion imaging
and show the potential to assess 3D lung functions.
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Computer Number: 76
3259. ADC-Seg:
Application of an improved nnU-Net for automatic segmentation of
apparent diffusion coefficient images of pulmonary lesions
T. Chen, L. Ding, Q. Wan, H. Xu, J. Xu, D. Li, Y. Lei, Y.
Xu, X. Li
The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
Impact: The model is capable of accurately segmenting
lesions in ADC images and performing quantitative analyses,
which will assist imaging physicians in making better
diagnoses for assessing the benignity and malignancy of
lesions.
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Computer Number: 77
3260. Decoupling
Iterative Algorithm for Rapid Calculation of Standard Tofts
Model Physiological Parameters
D. He, X. Fan, S. Chang, G. Huang, S. Qi, W. Qian
China Medical University, Shenyang, China
Impact: The novel prediction-correction method was
significantly reduced the computation time for
pixel-by-pixel analysis of 3D DCE-MRI using the standard
Tofts model. It can be used clinically to quickly generate Ktrans and ve maps
for cancer diagnosis.
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Computer Number: 78
3261. Cellular
deconvolution of the brain with topological diffusion mapping
MRI
J-P Yu
University of Wisconsin-Madison, Madison, United States
Impact: Topological diffusion mapping MRI (tdmMRI) is an
innovative spatially-informed image analysis technique
providing enhanced imaging sensitivity and specificity to
neurobiology and further, is able to non-invasively
deconvolve cellular populations in the brain.
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Computer Number: 79
3262. A
generalizable trapezoid fitting approach for estimating
pulmonary transit time from first-pass perfusion cardiac MRI
M. Zhao, L. Fan, K. Hong, M. Jimenez, L-Y Hsu, D. Lee, D.
Kim
Northwestern University, Chicago, United States
Impact: A trapezoid fitting method produces accurate PTT
measurements derived from first-pass cardiac perfusion MRI.
Our simple geometric approach is insensitive to noise and
excludes both the first-pass and recirculation peaks during
the fitting process.
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Computer Number: 80
3263. Tractometry
of shear stiffness and damping ratio using diffusion weighted
imaging and magnetic resonance elastography
P. Camacho, A. Anderson, B. Sutton, H. Schwarb
University of Illinois at Urbana Champaign, Urbana, United States
Impact: As biomarker discovery continues to incorporate
the more spatially informative tract profiles from
tractometry, this approach offers researchers and clinicians
the ability to spatially sample both diffusion- and
elastography-based structural information to better
characterize white matter tract structural health.
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