title: Semi-automated virtual unfolded view generation method of stomach from CT volumes.
abstract: 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.
authors: Graduate School of Information Science, Nagoya University, Japan
authors: Masahiro
authors: M
authors: Oda
authors: Graduate School of Information Science, Nagoya University, Japan
authors: Tomoaki
authors: T
authors: Suito
authors: Information and Communications Headquarters, Nagoya University, Japan.
authors: Yuichiro
authors: Y
authors: Hayashi
authors: School of Information Science, Aichi Institute of Technology, Japan.
authors: Takayuki
authors: T
authors: Kitasaka
authors: Graduate School of Medicine, Nagoya University, Japan.
authors: Kazuhiro
authors: K
authors: Furukawa
authors: Graduate School of Medicine, Nagoya University, Japan.
authors: Ryoji
authors: R
authors: Miyahara
authors: Department of Endoscopy, Nagoya University Hospital, Japan.
authors: Yoshiki
authors: Y
authors: Hirooka
authors: Graduate School of Medicine, Nagoya University, Japan.
authors: Hidemi
authors: H
authors: Goto
authors: National Cancer Center, Japan.
authors: Gen
authors: G
authors: Iinuma
authors: Aichi Cancer Center, Japan.
authors: Kazunari
authors: K
authors: Misawa
authors: International University of Health and Welfare Mita Hospital, Japan.
authors: Shigeru
authors: S
authors: Nawano
authors: Information and Communications Headquarters, Nagoya University, Japan.
authors: Kensaku
authors: K
authors: Mori
mesh_terms: D000465:Algorithms; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009929:Organ Size; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013270:Stomach / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014584:User-Computer Interface