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A novel MRI‐compatible brain ventricle phantom for validation of segmentation and volumetry methods
Author(s) -
Khan Amanda F.,
Drozd John J.,
Moreland Robert K.,
Ta Robert M.,
Borrie Michael J.,
Bartha Robert
Publication year - 2012
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.23612
Subject(s) - imaging phantom , ventricle , segmentation , nuclear medicine , magnetic resonance imaging , medicine , cerebral ventricle , biomedical engineering , voxel , computer science , radiology , artificial intelligence , anatomy
Purpose: To create a standardized, MRI‐compatible, life‐sized phantom of the brain ventricles to evaluate ventricle segmentation methods using T 1 ‐weighted MRI. An objective phantom is needed to test the many different segmentation programs currently used to measure ventricle volumes in patients with Alzheimer's disease. Materials and Methods: A ventricle model was constructed from polycarbonate using a digital mesh of the ventricles created from the 3 Tesla (T) MRI of a subject with Alzheimer's disease. The ventricle was placed in a brain mold and surrounded with material composed of 2% agar in water, 0.01% NaCl and 0.0375 mM gadopentetate dimeglumine to match the signal intensity properties of brain tissue in 3T T 1 ‐weighted MRI. The 3T T 1 ‐weighted images of the phantom were acquired and ventricle segmentation software was used to measure ventricle volume. Results: The images acquired of the phantom successfully replicated in vivo signal intensity differences between the ventricle and surrounding tissue in T 1 ‐weighted images and were robust to segmentation. The ventricle volume was quantified to 99% accuracy at 1‐mm voxel size. Conclusion: The phantom represents a simple, realistic and objective method to test the accuracy of lateral ventricle segmentation methods and we project it can be extended to other anatomical structures. J. Magn. Reson. Imaging 2012;36:476–482. © 2012 Wiley Periodicals, Inc.