title: Automated anatomical labeling of abdominal arteries and hepatic portal system extracted from abdominal CT volumes.
abstract: This paper proposes a method for automated anatomical labeling of abdominal arteries and a hepatic portal system. In abdominal surgeries, understanding blood vessel structure is critical since it is very complicated. The input of the proposed method is the blood vessel region extracted from the CT volume. The blood vessel region is expressed as a tree structure by applying a thinning process to it and compute the mapping from the branches in the tree structure to the anatomical names. First, several characteristic anatomical names are assigned by rule-based pre-processing. The branches assigned to these names are used as references. The remaining blood vessel names are assigned using a likelihood function trained by a machine-learning technique. Simple rule-based postprocessing can correct several blood vessel names. The output of the proposed method is a tree structure with anatomical names. In an experiment using 50 blood vessel regions manually extracted from abdominal CT volumes, the recall and precision rates of the abdominal arteries were 86.2% and 85.3%, and they were 86.5% and 79.5% for the hepatic portal system.
authors.affiliation: Graduate School of Information Science, Nagoya University, Japan.
authors.forename: Tetsuro
authors.initials: T
authors.lastname: Matsuzaki
authors.affiliation: Graduate School of Information Science, Nagoya University, Japan.
authors.forename: Masahiro
authors.initials: M
authors.lastname: Oda
authors.affiliation: Faculty of Information Science, Aichi Institute of Technology, Japan.
authors.forename: Takayuki
authors.initials: T
authors.lastname: Kitasaka
authors.affiliation: Information and Communications, Nagoya University, Japan.
authors.forename: Yuichiro
authors.initials: Y
authors.lastname: Hayashi
authors.affiliation: Aichi Cancer Center Hospital, Japan.
authors.forename: Kazunari
authors.initials: K
authors.lastname: Misawa
authors.affiliation: Information and Communications, Nagoya University, Japan; Graduate School of Information Science, Nagoya University, Japan.
authors.forename: Kensaku
authors.initials: K
authors.lastname: Mori
mesh_terms: D000005:Abdomen / Q000098:blood supply*; D001331:Automation; D006801:Humans; D008099:Liver / Q000098:blood supply*; D011168:Portal System / Q000033:anatomy & histology*; D011860:Radiography, Abdominal; D014057:Tomography, X-Ray Computed
keywords: Analysis of blood vessel structures; Blood vessel; CT volume; Recognition of anatomical names