Presentation 2012-01-20
A simultaneous statistical shape model for multiple abdominal organs
Misaki NAKADA, Atsushi SAITO, Hidefumi WATANABE, Akinobu SHIMIZU, Hidefumi KOBATAKE, Shigeru NAWANO,
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Abstract(in English) A statistical shape model (SSM) is known to be very effective in segmenting organs. However it is difficult to collect medical images and generate labels of organs manually for training a SSM, resulting in causing a problem of training label shortage. The problem is serious in the case of multiple organ modeling. This study is inspired by a synthesized-based learning and generates many sets of multiple organ shapes artificially by interpolating between two cases with multiple organs. The interpolation method employed here is an extension of a level set morphing originally developed for two shapes. We performed a retraining process of a hierarchical SSM for multiple organs using the generated shape sets. This paper reports the results of applying to modeling of 14 organs/tissues in an abdominal CT volume where 15 cases was used for training a model and 8 cases was for evaluating the performance.
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Keyword(in English) synthesized-based learning / level set morphing / statistical shape model / multiple organs / an abdominal CT volume
Paper # MI2011-130
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Committee MI
Conference Date 2012/1/12(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A simultaneous statistical shape model for multiple abdominal organs
Sub Title (in English)
Keyword(1) synthesized-based learning
Keyword(2) level set morphing
Keyword(3) statistical shape model
Keyword(4) multiple organs
Keyword(5) an abdominal CT volume
1st Author's Name Misaki NAKADA
1st Author's Affiliation Tokyo University of Agriculture and Technology()
2nd Author's Name Atsushi SAITO
2nd Author's Affiliation Tokyo University of Agriculture and Technology
3rd Author's Name Hidefumi WATANABE
3rd Author's Affiliation Tokyo University of Agriculture and Technology
4th Author's Name Akinobu SHIMIZU
4th Author's Affiliation Tokyo University of Agriculture and Technology
5th Author's Name Hidefumi KOBATAKE
5th Author's Affiliation Tokyo University of Agriculture and Technology
6th Author's Name Shigeru NAWANO
6th Author's Affiliation Cancer for Radiological Sciences, International University of Health and Welfare
Date 2012-01-20
Paper # MI2011-130
Volume (vol) vol.111
Number (no) 389
Page pp.pp.-
#Pages 6
Date of Issue