Method

Neuroimaging morphometry

MRI-based morphometric methods that measure brain structure volumes, cortical thickness, and spatial deformations, using tools such as voxel-based morphometry and surface-based parcellation to quantify anatomical variation.

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Scholars using this

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LZ
Liangdong ZhouInstructor of Biomedical Engineering in Radiology
LZ
Liangdong ZhouInstructor of Biomedical Engineering in Radiology
TA
Tracy A. ButlerAssociate Professor of Neurology in Radiology
TA
Tracy A. ButlerAssociate Professor of Neurology in Radiology
JP
Jonathan P DykeProfessor of Physics Research in Radiology
JP
Jonathan P DykeProfessor of Physics Research in Radiology
QZ
Qingyu ZhaoAssistant Professor of Artificial Intelligence in Radiology
QZ
Qingyu ZhaoAssistant Professor of Artificial Intelligence in Radiology
YL
Yi LiAssociate Professor of Radiology
YL
Yi LiAssociate Professor of Radiology
YW
Yi WangFaculty Distinguished Professor in Radiology
YW
Yi WangFaculty Distinguished Professor in Radiology

Spotlight

Neuroimaging morphometry

AJAdrian Joshua VillanuevaXHXinzi He MPMartin Prince

Tomography (Ann Arbor, Mich.) · 2026

Neuroimaging morphometry

SKSamantha Keil YLYi Li ACAna C. Krieger XHXiuyuan Hugh Wang+4 more →LZLiangdong Zhou

Neurobiology of disease · 2026

Neuroimaging morphometry

SMSurendra Maharjan LZLiangdong Zhou TATracy A. Butler YLYi Li+4 more →LGLidia Glodzik

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025

View all 18 publications →

Publications

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Neuroimaging morphometry

Scholars using this

Feasibility and Reliability of an Automated Muscle Segmentation Pipeline Linking Thoracic Supine Kyphosis and Trunk Muscle-Fat% on CT.

Increased MRI-derived parenchymal cerebral spinal fluid mapping in untreated obstructive sleep apnea patients.

Worse visibility of deep medullary veins is associated with larger lateral ventricles but not with cortical thickness.