Clinical Imaging
Volume 34, Issue 4 , Pages 255-262, July 2010

Determination of accurate stent graft configuration in abdominal aortic aneurysm using computed tomography: a preliminary study

  • Ho Chul Kim

      Affiliations

    • Department of Biomedical Engineering, Brain Korea 21 Project for Biomedical Science, College of Medicine, Korea University, Seoul, Republic of Korea
    • Korea Artificial Organ Center, Korea University, Seoul, Republic of Korea
  • ,
  • Sang Woo Park

      Affiliations

    • Department of Radiology, Konkuk University Hospital, Seoul, Republic of Korea
    • Corresponding Author InformationCorresponding author. Department of Radiology, Konkuk University Hospital, Seoul, Republic of Korea. Tel.: +82 2 2030 5495; fax: +82 2 2030 5549.
  • ,
  • Kyoung Won Nam

      Affiliations

    • Biomedical Engineering Branch, National Cancer Center, Goyang, Republic of Korea
  • ,
  • Hyuk Choi

      Affiliations

    • Department of Medical Science (Biomedical Engineering), College of Medicine, Korea University, Seoul, Republic of Korea
  • ,
  • Eun Jeong Choi

      Affiliations

    • Department of Radiology, Korea University Medical Center, Anam Hospital, Seoul, Republic of Korea
  • ,
  • Seungoh Jin

      Affiliations

    • Korea Electrotechnology Research Institute, Ansan, Republic of Korea
  • ,
  • Min Gi Kim

      Affiliations

    • Department of Electronics and Information Engineering, Korea University, Seoul, Republic of Korea
  • ,
  • Kyung Sun

      Affiliations

    • Department of Biomedical Engineering, Brain Korea 21 Project for Biomedical Science, College of Medicine, Korea University, Seoul, Republic of Korea
    • Korea Artificial Organ Center, Korea University, Seoul, Republic of Korea
    • Department of Thoracic and Cardiovascular Surgery, College of Medicine, Korea University, Seoul, Republic of Korea

Received 20 September 2008; received in revised form 22 May 2009; accepted 6 June 2009. published online 23 July 2009.

Abstract 

An aortic stent graft is frequently used to cure an abdominal aortic aneurysm (AAA). It is critical to accurately fit the size and shape of the stent graft to the target region on the aorta. Proper sizing and shaping require the measurement of the orthogonal diameter of the target region from medical images. The present study aimed to acquire an accurate three-dimensional (3D) reconstruction of the aorta to determine the shape of the cross-sectional area where the stent graft would be implanted. A conventional geometric-active contour model was enhanced to prevent blurring and to improve edge detection with high noise resistivity. After the segmentation of two-dimensional (2D) images using the model, a 3D-reconstructed configuration of the aorta was achieved using a surface-rendering technique. The model could segment several selected synthetic images more accurately than conventional methods. Also, a 3D-reconstructed configuration of the abdominal aorta could be achieved using boundary coordinates extracted from 2D image segmentation. This preliminary study indicates the utility of the approach in optimizing stent graft configuration for AAA patients, thus enhancing stent graft healing.

Keywords: Abdominal aortic aneurysm, Stent graft, Image segmentation, 3D modeling, Morphological gradient edge function

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

 This study was supported by grant A020609 from the Korea Health 21 R&D Project of the Ministry of Health and Welfare and the Brain Korea 21 Project of the Ministry of Education and Human Resources Development, Republic of Korea. This research was carried out with support from the Image Analysis Technological Foundation Planning and Development Board of the Korean Institute of Science and Technology Evaluation and Planning, Republic of Korea (M10429040003-04L2904-00310).

PII: S0899-7071(09)00114-4

doi:10.1016/j.clinimag.2009.06.023

Clinical Imaging
Volume 34, Issue 4 , Pages 255-262, July 2010