Methods for Estimation of Spine Posture and Analysis of Physical Force Working on Vertebrae Based on Statics and Monocular Image Sequence Analysis
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- Furukawa Daisuke
- Graduate School of Engineering, Nagoya University
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- Kitasaka Takayuki
- Graduate School of Information Science, Nagoya University
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- Mori Kensaku
- Graduate School of Information Science, Nagoya University
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- Suenaga Yasuhito
- Graduate School of Information Science, Nagoya University
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- Hirano Yasushi
- Information Technology Center, Nagoya University
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- Mase Kenji
- Information Technology Center, Nagoya University
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- Takahashi Tomoichi
- Faculty of Science and Technology, Meijo University
Bibliographic Information
- Other Title
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- 単眼動画像解析と静力学に基づく脊椎姿勢推定法と椎骨負荷解析法
- タンガン ドウガゾウ カイセキ ト セイ リキガク ニ モトヅク セキツイ シセイ スイテイホウ ト ツイコツ フカ カイセキホウ
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Abstract
This paper describes a method for estimating three dimensional (3D)positions and orientations of vertebrae together with the load working on the vertebral bodies from a sequence of human images taken by a video camera based on a 3D whole body mode and a 3D spine model. In this method, we first obtain the neck and waist postures, the centers of masses of the head, trunk, and arms by fitting the 3D whole body model to an input human image. Then the 3D spine model is deformed so that it satisfies equilibrium of the force working on the vertebrae caused by the springs which approximate intervertebral discs. After determining the spine posture, the load working on the top surfaces of the vertebral bodies is calculated based on the centers of masses and the weights of the body parts. The experimental results based on one real MR image dataset showed that our method estimated the vertebra positions within the positional shifts of 6.2mm and the rotational variation of 3.1 degrees. We also confirmed that our method estimated the spine posture and calculated the force working on the top surface of the lumbar vertebra L, 5' from the real human video images reasonably.
Journal
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- Journal of Japan Society of Computer Aided Surgery
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Journal of Japan Society of Computer Aided Surgery 7 (4), 547-557, 2006
THE JAPAN SOCIETY OF COMPUTER AIDED SURGERY
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Details 詳細情報について
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- CRID
- 1390282680366915584
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- NII Article ID
- 130004256864
- 10021286847
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- NII Book ID
- AN1044100X
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- ISSN
- 18845770
- 13349486
- 13449486
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- NDL BIB ID
- 7941421
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed