Registration-Based Morphing of Active Contours for Segmentation of CT Scans
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1.
Center for Turbulence Research, Stanford University, Stanford, CA 94305
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2.
Department of Mathematics, Stanford University, Stanford, CA 94305-2125
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Received:
01 July 2004
Accepted:
29 June 2018
Published:
01 November 2004
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MSC :
92C55, 92C50.
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We present a new algorithm for segmenting organs in CT scans for
radiotherapy treatment planning.
Given a contour of an organ that is segmented
in one image, our algorithm proceeds to
segment contours that identify the same organ in
the consecutive images.
Our technique combines partial differential equations-based morphing active
contours with algorithms for joint segmentation and registration. The
coupling between these different techniques
is done in order to deal with the complexity
of segmenting ''real'' images, where boundaries
are not always well defined, and the initial
contour is not an isophote of the image.
Citation: Yuan-Nan Young, Doron Levy. Registration-Based Morphing of Active Contours for Segmentation of CT Scans[J]. Mathematical Biosciences and Engineering, 2005, 2(1): 79-96. doi: 10.3934/mbe.2005.2.79
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Abstract
We present a new algorithm for segmenting organs in CT scans for
radiotherapy treatment planning.
Given a contour of an organ that is segmented
in one image, our algorithm proceeds to
segment contours that identify the same organ in
the consecutive images.
Our technique combines partial differential equations-based morphing active
contours with algorithms for joint segmentation and registration. The
coupling between these different techniques
is done in order to deal with the complexity
of segmenting ''real'' images, where boundaries
are not always well defined, and the initial
contour is not an isophote of the image.
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