TY - GEN
T1 - Automatic teniae coli detection for computed tomography colonography
AU - Zhu, Hongbin
AU - Li, Lihong
AU - Fan, Yi
AU - Lin, Qin
AU - Lu, Hongbing
AU - Gu, Xianfeng
AU - Liang, Zhengrong
PY - 2011
Y1 - 2011
N2 - Human colon has complex structures since it turns, twists, and even mobiles when the position of patient changes. The awareness of the locations and orientations is very important for improving the experience of virtual navigation, registration of supine/prone images and polyp matching. Teniae coli (TCs) are three longitudinal muscles along the human colon. They are parts of the colon wall, and they have the potential to serve as reliable landmarks to provide the above mentioned awareness. Morphologically, TCs are three smooth narrow bands, approximately perpendicular to the haustral folds, and extending between the fold pairs in a parallel manner. Such characteristics make the TCs detectable if the folds have been extracted already. In this study, based on the previous work of the segmentation of haustral folds, we introduce a new method of automatically detecting the three TCs. The experiments will be conducted on real patient studies to demonstrate the feasibility of the method, and solid evaluation will be conducted based on a flattened two-dimensional (2D) colon representation.
AB - Human colon has complex structures since it turns, twists, and even mobiles when the position of patient changes. The awareness of the locations and orientations is very important for improving the experience of virtual navigation, registration of supine/prone images and polyp matching. Teniae coli (TCs) are three longitudinal muscles along the human colon. They are parts of the colon wall, and they have the potential to serve as reliable landmarks to provide the above mentioned awareness. Morphologically, TCs are three smooth narrow bands, approximately perpendicular to the haustral folds, and extending between the fold pairs in a parallel manner. Such characteristics make the TCs detectable if the folds have been extracted already. In this study, based on the previous work of the segmentation of haustral folds, we introduce a new method of automatically detecting the three TCs. The experiments will be conducted on real patient studies to demonstrate the feasibility of the method, and solid evaluation will be conducted based on a flattened two-dimensional (2D) colon representation.
KW - colon
KW - Computed tomographic colonography
KW - fold
KW - teniae coli
UR - https://www.scopus.com/pages/publications/79955779444
U2 - 10.1117/12.878059
DO - 10.1117/12.878059
M3 - Conference contribution
AN - SCOPUS:79955779444
SN - 9780819485052
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2011
T2 - Medical Imaging 2011: Computer-Aided Diagnosis
Y2 - 15 February 2011 through 17 February 2011
ER -