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Proceedings Paper

Feature space analysis: effects of MRI protocols
Author(s): Hamid Soltanian-Zadeh; Lisa Scarpace; Donald J. Peck
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Paper Abstract

We present a method for exploring the relationship between the image segmentation results obtained by an optimal feature space method and the MRI protocols used. The steps of the work accomplished are as follows. (1) Three patients with brain tumors were imaged by a 1.5T General Electric Signa MRI System, using multiple protocols (T1- and T2-weighted spin- echo and FLAIR). T1-weighted images were acquired before and after Gadolinium (Gd) injection. (2) Image volumes were co- registered, and images of a slice through the center of the tumor were selected for processing. (3) Nine sets of images were defined by selecting certain MR images (e.g., 4T2's + 1T1, 4T2's + FLAIR, 2T2's + 1T1). (4) Using the images in each set, the optimal feature space was generated and images were segmented into normal tissues and different tumor zones. (5) Segmentation results obtained using different MRI sets were compared. We found that the locations of the clusters for the tumor zones and their corresponding regions in the image domain changed to some extent as a function of the MR images (MRI protocols) used. However, the segmentation results for the total lesion and normal tissues remained almost unchanged.

Paper Details

Date Published: 6 June 2000
PDF: 12 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387662
Show Author Affiliations
Hamid Soltanian-Zadeh, Henry Ford Helath System and Univ. of Tehran (United States)
Lisa Scarpace, Henry Ford Health System (United States)
Donald J. Peck, Henry Ford Health System (United States)


Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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