Paper
21 March 2016 A method for mapping tissue volume model onto target volume using volumetric self-organizing deformable model
Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazume
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Abstract
This paper proposes a new method for mapping volume models of human tissues onto a target volume with simple shapes. The proposed method is based on our modified self-organizing deformable model (mSDM)1, 2 which finds the one-to-one mapping with no foldovers between arbitrary surface model and a target surface. By extending mSDM to apply to volume models, the proposed method, called volumetric SDM (vSDM), establishes the one-to-one correspondence between the tissue volume model and its target volume. At the same time, vSDM can preserve geometrical properties of the original model before and after mapping. This characteristic of vSDM makes it easy to find the correspondence between tissue models.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, and Ryo Kurazume "A method for mapping tissue volume model onto target volume using volumetric self-organizing deformable model", Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97842Z (21 March 2016); https://doi.org/10.1117/12.2217367
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Cited by 1 scholarly publication.
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KEYWORDS
Tissues

Natural surfaces

Statistical modeling

Image segmentation

Associative arrays

Distortion

Medical imaging

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