| Presentation | 2019-01-23 Semi-Automated Segmentation of Rotator Cuff in MR Images with Statistical Shape Model Kazuki Ishiro, Kento Morita, Manabu Nii, Tomoyuki Muto, Hiroshi Tanaka, Hiroaki Inui, Syoji Kobashi, Katsuya Nobuhara, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A surgical method to repair rotator cuff tear is decided by a tear form. To diagnose the tear form, we previously proposed a method to reconstruct 3-D shoulder rotator cuff shape from a region manually segmented by an orthopedic surgeon. However, the reconstructed 3-D shape was strongly dependent on the segmented region. Therefore, this paper proposes a method for semi-automated segmentation of rotator cuff in MR images. A rotator cuff’s statistical shape model (SSM) is utilized for the segmentation. The SSM has been constructed by applying principal component analysis to normalized rotator cuff region. The shape parameters of SSM has been estimated from MR image signals to segment the region. The mean segmentation accuracy calculated by Dice coefficient was 0.683, and the mean error distance was 2.307 mm. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Shoulder rotator cuff / Principal component analysis / Statistical shape model / Segmentation |
| Paper # | MI2018-91 |
| Date of Issue | 2019-01-15 (MI) |
| Conference Information | |
| Committee | MI |
|---|---|
| Conference Date | 2019/1/22(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Chair | Kensaku Mori(Nagoya Univ.) |
| Vice Chair | Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) |
| Secretary | Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) |
| Assistant | Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Medical Imaging |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Semi-Automated Segmentation of Rotator Cuff in MR Images with Statistical Shape Model |
| Sub Title (in English) | |
| Keyword(1) | Shoulder rotator cuff |
| Keyword(2) | Principal component analysis |
| Keyword(3) | Statistical shape model |
| Keyword(4) | Segmentation |
| 1st Author's Name | Kazuki Ishiro |
| 1st Author's Affiliation | University of Hyogo(Univ. of Hyogo) |
| 2nd Author's Name | Kento Morita |
| 2nd Author's Affiliation | University of Hyogo(Univ. of Hyogo) |
| 3rd Author's Name | Manabu Nii |
| 3rd Author's Affiliation | University of Hyogo(Univ. of Hyogo) |
| 4th Author's Name | Tomoyuki Muto |
| 4th Author's Affiliation | Nobuhara Hospital and Institute of Biomechanics(Nobuhara Hospital) |
| 5th Author's Name | Hiroshi Tanaka |
| 5th Author's Affiliation | Nobuhara Hospital and Institute of Biomechanics(Nobuhara Hospital) |
| 6th Author's Name | Hiroaki Inui |
| 6th Author's Affiliation | Nobuhara Hospital and Institute of Biomechanics(Nobuhara Hospital) |
| 7th Author's Name | Syoji Kobashi |
| 7th Author's Affiliation | University of Hyogo(Univ. of Hyogo) |
| 8th Author's Name | Katsuya Nobuhara |
| 8th Author's Affiliation | Nobuhara Hospital and Institute of Biomechanics(Nobuhara Hospital) |
| Date | 2019-01-23 |
| Paper # | MI2018-91 |
| Volume (vol) | vol.118 |
| Number (no) | MI-412 |
| Page | pp.pp.131-136(MI), |
| #Pages | 6 |
| Date of Issue | 2019-01-15 (MI) |