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- W297555186 abstract "OF THE THESIS Improved Active Shape Models for Segmentation of the Prostate on MR Imagery by Robert James Toth Thesis Director: Anant Madabhushi Segmentation aims to determine which locations within an image contain the object of interest. Segmentation of the prostate boundary on clinical images is useful in a large number of applications including calculation of prostate volume preand posttreatment, detection of extra-capsular spread, and creation of patient-specific anatomical models. Manual segmentation of the prostate boundary is, however, time consuming and subject to interand intra-reader variability. T2-weighted (T2-w) Magnetic Resonance (MR) structural imaging (MRI) and MR Spectroscopy (MRS) have recently emerged as promising modalities for detection of prostate cancer in vivo. With the recent advance in prostate imagery, we have generated an accurate prostate segmentation system for MR imagery. Our system builds upon the popular Active Shape Model (ASM) framework, in which a statistical description of the shape is first generated, after which an appearance of the object of interest is modeled. In our system, the shape model can be generated in either 2D or 3D, and is defined by a set of anatomical landmarks. For the appearance model, we offer several improvements. We generated statistical texture features of the prostate images, and use those features to overcome limitations of solely using intensities. In addition, we use intelligent feature selection algorithms including forward feature selection and adaboost to" @default.
- W297555186 created "2016-06-24" @default.
- W297555186 creator A5077822983 @default.
- W297555186 date "2010-01-01" @default.
- W297555186 modified "2023-09-23" @default.
- W297555186 title "Improved active shape models for segmentation of the prostate on MR imagery" @default.
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- W297555186 doi "https://doi.org/10.7282/t3dj5fb3" @default.
- W297555186 hasPublicationYear "2010" @default.
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