title: Examining a CT scan of an abdominal aortic aneurysm. Part II: Locating the aneurysm using the Hough transform.
abstract: When analyzing CT scan images for the diagnosis of an Abdominal Aortic Aneurysms the aorta must be located and cropped from the whole image. Given that there are so many images to be analyzed, it is wise to automate this cropping process so further image-processing techniques can be applied. By using the Hough transform the process of finding and cropping the aorta from the image in a consistent method is important. The Hough transform lends itself to this process quite nicely. This paper focuses on implementing the Hough transform in C++ using Microsoft Windows.
authors.affiliation: Electrical Engineering Department, University of Wyoming, Laramie, WY 82071, USA.
authors.forename: J J
authors.initials: JJ
authors.lastname: Kane
authors.forename: Thor
authors.initials: T
authors.lastname: Hallingbye
mesh_terms: D017544:Aortic Aneurysm, Abdominal / Q000000981:diagnostic imaging*; D006801:Humans; D008955:Models, Cardiovascular; D011381:Programming Languages; D011856:Radiographic Image Enhancement / Q000379:methods*; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014584:User-Computer Interface