Subject‐Level Segmentation Precision Weights for Volumetric Studies Involving Label Fusion

ABSTRACT In neuroimaging research, volumetric data contribute valuable information for understanding brain changes during both healthy aging and pathological processes. Extracting these measures from images requires segmenting the regions of interest (ROIs), and many popular methods accomplish this...

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Bibliographic Details
Published in:	Human brain mapping Vol. 45; no. 18; pp. e70082 - n/a
Main Authors:	Chen, Christina, Das, Sandhitsu R., Tisdall, M. Dylan, Hu, Fengling, Chen, Andrew A., Yushkevich, Paul A., Wolk, David A., Shinohara, Russell T.
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 15.12.2024
Subjects:	Aged Aged, 80 and over Algorithms Alzheimer Disease - diagnostic imaging Alzheimer Disease - pathology Alzheimer's disease Automation Brain - diagnostic imaging Cognitive ability Cognitive Dysfunction - diagnostic imaging Cognitive Dysfunction - pathology Cognitive Dysfunction - physiopathology Disease Disease control Estimates Female Females Hippocampus Hippocampus - diagnostic imaging Humans Image processing Image Processing, Computer-Assisted - methods Image Processing, Computer-Assisted - standards Image segmentation Information processing Labels Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Middle Aged Neurodegenerative diseases Neuroimaging Neuroimaging - methods Neuroimaging - standards Organ Size - physiology Phenotypes Phenotypic variations Registration Segmentation
ISSN:	1065-9471, 1097-0193, 1097-0193
Online Access:	Get full text
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