Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Using Pareto fronts to evaluate polyp detection algorithms for CT colonography

[+] Author Affiliations
Adam Huang, Jiang Li, Ronald M. Summers

National Institutes of Health

Nicholas Petrick

U.S. Food and Drug Administration

Amy K. Hara

Mayo Clinic

Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 651407 (March 29, 2007); doi:10.1117/12.709426
Text Size: A A A
From Conference Volume 6514

  • Medical Imaging 2007: Computer-Aided Diagnosis
  • Maryellen L. Giger; Nico Karssemeijer
  • San Diego, CA | February 17, 2007


We evaluate and improve an existing curvature-based region growing algorithm for colonic polyp detection for our CT colonography (CTC) computer-aided detection (CAD) system by using Pareto fronts. The performance of a polyp detection algorithm involves two conflicting objectives, minimizing both false negative (FN) and false positive (FP) detection rates. This problem does not produce a single optimal solution but a set of solutions known as a Pareto front. Any solution in a Pareto front can only outperform other solutions in one of the two competing objectives. Using evolutionary algorithms to find the Pareto fronts for multi-objective optimization problems has been common practice for years. However, they are rarely investigated in any CTC CAD system because the computation cost is inherently expensive. To circumvent this problem, we have developed a parallel program implemented on a Linux cluster environment. A data set of 56 CTC colon surfaces with 87 proven positive detections of polyps sized 4 to 60 mm is used to evaluate an existing one-step, and derive a new two-step region growing algorithm. We use a popular algorithm, the Strength Pareto Evolutionary Algorithm (SPEA2), to find the Pareto fronts. The performance differences are evaluated using a statistical approach. The new algorithm outperforms the old one in 81.6% of the sampled Pareto fronts from 20 simulations. When operated at a suitable sensitivity level such as 90.8% (79/87) or 88.5% (77/87), the FP rate is decreased by 24.4% or 45.8% respectively.

© (2007) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Adam Huang ; Jiang Li ; Ronald M. Summers ; Nicholas Petrick and Amy K. Hara
"Using Pareto fronts to evaluate polyp detection algorithms for CT colonography", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 651407 (March 29, 2007); doi:10.1117/12.709426; http://dx.doi.org/10.1117/12.709426

Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).



Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

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


Buy this article ($18 for members, $25 for non-members).
Sign In