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3 March 2009 Segmentation propagation for the automated quantification of ventricle volume from serial MRI
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Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72601Z (2009) https://doi.org/10.1117/12.810940
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Accurate ventricle volume estimates could potentially improve the understanding and diagnosis of communicating hydrocephalus. Postoperative communicating hydrocephalus has been recognized in patients with brain tumors where the changes in ventricle volume can be difficult to identify, particularly over short time intervals. Because of the complex alterations of brain morphology in these patients, the segmentation of brain ventricles is challenging. Our method evaluates ventricle size from serial brain MRI examinations; we (i) combined serial images to increase SNR, (ii) automatically segmented this image to generate a ventricle template using fast marching methods and geodesic active contours, and (iii) propagated the segmentation using deformable registration of the original MRI datasets. By applying this deformation to the ventricle template, serial volume estimates were obtained in a robust manner from routine clinical images (0.93 overlap) and their variation analyzed.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marius George Linguraru and John A. Butman "Segmentation propagation for the automated quantification of ventricle volume from serial MRI", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72601Z (3 March 2009); https://doi.org/10.1117/12.810940
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