Paper
27 March 2019 Spatiotemporal statistical models of a human embryo
Atsushi Saito, Masashi Kishimoto, Kazuki Kasahara, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada, Hiroshi Matsuzoe, Hidekata Hontani, Akinobu Shimizu
Author Affiliations +
Proceedings Volume 11050, International Forum on Medical Imaging in Asia 2019; 110501G (2019) https://doi.org/10.1117/12.2522101
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore
Abstract
This paper presents spatiotemporal statistical models of organ surfaces during human embryonic development, in which size, shape, and topology of organs are dynamically changed. The modeling scheme comprised two steps: (1) each temporal stage of an embryo was statistically modeled, and (2) models between neighboring temporal stages were interpolated. This paper includes optimization of interpolation techniques and a novel method for modeling nested shapes, such as brain and ventricular surfaces. The effectiveness of our method was demonstrated in the context of statistical modeling of a human embryo from the Kyoto Collection.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Atsushi Saito, Masashi Kishimoto, Kazuki Kasahara, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada, Hiroshi Matsuzoe, Hidekata Hontani, and Akinobu Shimizu "Spatiotemporal statistical models of a human embryo", Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110501G (27 March 2019); https://doi.org/10.1117/12.2522101
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KEYWORDS
Statistical analysis

Statistical modeling

Brain

Shape analysis

3D modeling

Data modeling

Principal component analysis

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