TY - GEN
T1 - Semi-automated virtual unfolded view generation method of stomach from CT volumes
AU - Oda, Masahiro
AU - Suito, Tomoaki
AU - Hayashi, Yuichiro
AU - Kitasaka, Takayuki
AU - Furukawa, Kazuhiro
AU - Miyahara, Ryoji
AU - Hirooka, Yoshiki
AU - Goto, Hidemi
AU - Iinuma, Gen
AU - Misawa, Kazunari
AU - Nawano, Shigeru
AU - Mori, Kensaku
PY - 2013
Y1 - 2013
N2 - CT image-based diagnosis of the stomach is developed as a new way of diagnostic method. A virtual unfolded (VU) view is suitable for displaying its wall. In this paper, we propose a semi-automated method for generating VU views of the stomach. Our method requires minimum manual operations. The determination of the unfolding forces and the termination of the unfolding process are automated. The unfolded shape of the stomach is estimated based on its radius. The unfolding forces are determined so that the stomach wall is deformed to the expected shape. The iterative deformation process is terminated if the difference of the shapes between the deformed shape and expected shape is small. Our experiments using 67 CT volumes showed that our proposed method can generate good VU views for 76.1% cases.
AB - CT image-based diagnosis of the stomach is developed as a new way of diagnostic method. A virtual unfolded (VU) view is suitable for displaying its wall. In this paper, we propose a semi-automated method for generating VU views of the stomach. Our method requires minimum manual operations. The determination of the unfolding forces and the termination of the unfolding process are automated. The unfolded shape of the stomach is estimated based on its radius. The unfolding forces are determined so that the stomach wall is deformed to the expected shape. The iterative deformation process is terminated if the difference of the shapes between the deformed shape and expected shape is small. Our experiments using 67 CT volumes showed that our proposed method can generate good VU views for 76.1% cases.
UR - http://www.scopus.com/inward/record.url?scp=84894636431&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894636431&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40811-3_42
DO - 10.1007/978-3-642-40811-3_42
M3 - Conference contribution
C2 - 24505683
AN - SCOPUS:84894636431
SN - 9783642408106
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 332
EP - 339
BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
T2 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Y2 - 22 September 2013 through 26 September 2013
ER -