Image Processing

Improved centerline tree detection of diseased peripheral arteries with a cascading algorithm for vascular segmentation

[+] Author Affiliations
Kristína Lidayová, Ewert Bengtsson

Uppsala University, Centre for Image Analysis, Division of Visual Information and Interaction, Uppsala, Sweden

Hans Frimmel

Uppsala University, Division of Scientific Computing, Department of Information Technology, Sweden

Örjan Smedby

KTH Royal Institute of Technology, School of Technology and Health, Stockholm, Sweden

J. Med. Imag. 4(2), 024004 (Apr 28, 2017). doi:10.1117/1.JMI.4.2.024004
History: Received October 18, 2016; Accepted April 5, 2017
Text Size: A A A

Abstract.  Vascular segmentation plays an important role in the assessment of peripheral arterial disease. The segmentation is very challenging especially for arteries with severe stenosis or complete occlusion. We present a cascading algorithm for vascular centerline tree detection specializing in detecting centerlines in diseased peripheral arteries. It takes a three-dimensional computed tomography angiography (CTA) volume and returns a vascular centerline tree, which can be used for accelerating and facilitating the vascular segmentation. The algorithm consists of four levels, two of which detect healthy arteries of varying sizes and two that specialize in different types of vascular pathology: severe calcification and occlusion. We perform four main steps at each level: appropriate parameters for each level are selected automatically, a set of centrally located voxels is detected, these voxels are connected together based on the connection criteria, and the resulting centerline tree is corrected from spurious branches. The proposed method was tested on 25 CTA scans of the lower limbs, achieving an average overlap rate of 89% and an average detection rate of 82%. The average execution time using four CPU cores was 70 s, and the technique was successful also in detecting very distal artery branches, e.g., in the foot.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Kristína Lidayová ; Hans Frimmel ; Ewert Bengtsson and Örjan Smedby
"Improved centerline tree detection of diseased peripheral arteries with a cascading algorithm for vascular segmentation", J. Med. Imag. 4(2), 024004 (Apr 28, 2017). ; http://dx.doi.org/10.1117/1.JMI.4.2.024004


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.