| 講演抄録/キーワード |
| 講演名 |
2008-01-26 15:45
Automated Segmentation of the Hip Bones and Cartilage in Multi-Slice CT Images Ayoub Baniasadipour・○Reza A. Zoroofi(Univ. of Tehran)・Yoshinobu Sato・Takashi Nishii・Hisashi Tanaka(Osaka Univ.) MI2007-149 |
| 抄録 |
(和) |
In the hip joint degenerative diseases, quantification and visualization of the hip bone cartilages is of particular clinical interest In this research, the datasets are acquired by injecting the contrast media in the hip joint during data acquisition under continuous leg traction. We present two independent methods for segmentation of the hip bones and cartilages. We first enhance the dynamic range and contrast of the data set by a conventional procedure. We then estimate the center of the femoral head utilizing a Hough transform. The estimated center is used as a pivotal point for beginning the segmentation process. Next, for cartilages segmentation, based on anatomical knowledge about the femoral head shape and size, we derive a region of interest (ROI) for further operations. In this case, by employing an Image Bottom Hat technique and anatomical knowledge about the curved shaped of the cartilages, we extract the valleys between contrast media and hip bones. For segmentation of bones, ROI are selected based on bones intensity. Then we utilize radial difference from femoral head center and Image Bottom Hat techniques for extracting bones edge in sagittal view. The proposed model is validated on twenty sets (5120 images) of actual in vivo hip CT data. |
| (英) |
In the hip joint degenerative diseases, quantification and visualization of the hip bone cartilages is of particular clinical interest In this research, the datasets are acquired by injecting the contrast media in the hip joint during data acquisition under continuous leg traction. We present two independent methods for segmentation of the hip bones and cartilages. We first enhance the dynamic range and contrast of the data set by a conventional procedure. We then estimate the center of the femoral head utilizing a Hough transform. The estimated center is used as a pivotal point for beginning the segmentation process. Next, for cartilages segmentation, based on anatomical knowledge about the femoral head shape and size, we derive a region of interest (ROI) for further operations. In this case, by employing an Image Bottom Hat technique and anatomical knowledge about the curved shaped of the cartilages, we extract the valleys between contrast media and hip bones. For segmentation of bones, ROI are selected based on bones intensity. Then we utilize radial difference from femoral head center and Image Bottom Hat techniques for extracting bones edge in sagittal view. The proposed model is validated on twenty sets (5120 images) of actual in vivo hip CT data. |
| キーワード |
(和) |
Cartilage segmentation / Thickness map estimation / Hough transform / Knowledge base segmentation / / / / |
| (英) |
Cartilage segmentation / Thickness map estimation / Hough transform / Knowledge base segmentation / / / / |
| 文献情報 |
信学技報, vol. 107, no. 461, MI2007-149, pp. 471-478, 2008年1月. |
| 資料番号 |
MI2007-149 |
| 発行日 |
2008-01-18 (MI) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
MI2007-149 |