TY - GEN
T1 - Volume representation of parenchymatous organs by volumetric self-organizing deformable model
AU - Miyauchi, Shoko
AU - Morooka, Ken’ichi
AU - Tsuji, Tokuo
AU - Miyagi, Yasushi
AU - Fukuda, Takaichi
AU - Kurazume, Ryo
N1 - Funding Information:
This work was supported by Grant-in-Aid for JSPS Research Fellow 16J03878 and JSPS KAKENHI 16K00243.
Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - This paper proposes a new method for describing parenchymatous organs by the set of volumetric primitives with simple shapes. The proposed method is based on our modified Self-organizing Deformable Model (mSDM) which maps an object surface model onto a target surface with no foldovers. By extending mSDM to apply to organ volume models, the proposed method, volumetric SDM (vSDM), finds the one-to-one correspondence between the volume model and its target volume. During the mapping, vSDM preserves geometrical properties of the original model while mapping internal structures of the model onto their corresponding primitives inside of the target volume. Owing to these characteristics, vSDM enables to obtain a new volume representation of organ volume models which simultaneously (1) represents by simple primitives the shapes of the whole organ and its internal structures and (2) describes the relationship among the external surface and internal structures of the organ.
AB - This paper proposes a new method for describing parenchymatous organs by the set of volumetric primitives with simple shapes. The proposed method is based on our modified Self-organizing Deformable Model (mSDM) which maps an object surface model onto a target surface with no foldovers. By extending mSDM to apply to organ volume models, the proposed method, volumetric SDM (vSDM), finds the one-to-one correspondence between the volume model and its target volume. During the mapping, vSDM preserves geometrical properties of the original model while mapping internal structures of the model onto their corresponding primitives inside of the target volume. Owing to these characteristics, vSDM enables to obtain a new volume representation of organ volume models which simultaneously (1) represents by simple primitives the shapes of the whole organ and its internal structures and (2) describes the relationship among the external surface and internal structures of the organ.
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U2 - 10.1007/978-3-319-51237-2_4
DO - 10.1007/978-3-319-51237-2_4
M3 - Conference contribution
AN - SCOPUS:85007344696
SN - 9783319512365
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 39
EP - 50
BT - Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers
A2 - Lombaert, Herve
A2 - Wachinger, Christian
A2 - Reuter, Martin
PB - Springer Verlag
T2 - 1st International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Interventions, MICCAI 2016
Y2 - 21 October 2016 through 21 October 2016
ER -