title: A quantitative evaluation of abdominal aorta aneurysm by CT images.
abstract: An abdominal aorta aneurysm (AAA) is a disease that aortic vessel inflates abnormally. The aorta blows up continuously, which may lead to the rupture of the aorta. The mortality of rupturing the aorta is between 75 and 90% to properly treat this disease, we need to accurate measure about variation of AAA size. our team performed that AAA is reconstructed as three dimensional (3D) images by computer tomography (CT), and analyzed the elements of inflation through a geometric parameter measurement . Subjects (seven males) who undergo an AAA are enrolled for the analysis. The authors used CT images as a primary source, and obtained secondary CT images 12 months later. By means of these data, the authors constructed 3D images of AAA and performed examinations using a geometric analysis that calculates geometric parameter such as the tortuosity, diameter, saccular and so on based on volume, area of the segmented region of the CT slices that is set up by the centroids and 8 points around it. The result of the severity biomechanical factor shows increased AAA tortuosity ratio (4.9%), AAA diameter expansion ratio [cm/year] (6.8%), AAA total diameter ratio (4.7%), AAA saccular ratio (2.4%) than 12-month before. Through these results, We can plan to endovascular repair surgery to undergoing AAA patients and possible diagnosis estimation of AAA.
authors.affiliation: Biomedical Engineering Branch, Division of Convergence Technology, National Cancer Center, Gyeonggi-do, Korea.
authors.forename: Chan-Soo
authors.initials: CS
authors.lastname: Park
authors.affiliation: Department of Electronics and Computer Engineering, Hanyang Universit, Seoul, Korea.
authors.forename: Jong-Il
authors.initials: JI
authors.lastname: Park
authors.affiliation: Biomedical Engineering Branch, Division of Convergence Technology, National Cancer Center, Gyeonggi-do, Korea.
authors.forename: Kwang-Gi
authors.initials: KG
authors.lastname: Kim
authors.affiliation: Biomedical Engineering Branch, Division of Convergence Technology, National Cancer Center, Gyeonggi-do, Korea.
authors.forename: Chang-No
authors.initials: CN
authors.lastname: Cho
authors.affiliation: Department of Biomedical Engineering, Konkuk University, Seoul, Korea.
authors.forename: Byung-Uk
authors.initials: BU
authors.lastname: Ahn
authors.affiliation: Department of Radiology, Seoul National University Hospital, Seoul, Korea.
authors.forename: Hwan-Jun
authors.initials: HJ
authors.lastname: Jae
mesh_terms: D000368:Aged; D017544:Aortic Aneurysm, Abdominal / Q000000981:diagnostic imaging*; D005069:Evaluation Studies as Topic; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D012494:Sampling Studies; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: 3D reconstruction; Abdominal aorta aneurysm; computed tomography