Improved computer-aided detection of small polyps in CT colonography using interpolation for curvature estimation

Abstract : Purpose: Surface curvatures are important geometric features for the computer-aided analysis and detection of polyps in CT colonography (CTC). However, the general kernel approach for curvature computation can yield erroneous results for small polyps and for polyps that lie on haustral folds. Those erroneous curvatures will reduce the performance of polyp detection. This paper presents an analysis of interpolation's effect on curvature estimation for thin structures and its application on computer-aided detection of small polyps in CTC. Methods: The authors demonstrated that a simple technique, image interpolation, can improve the accuracy of curvature estimation for thin structures and thus significantly improve the sensitivity of small polyp detection in CTC. Results: Our experiments showed that the merits of interpolating included more accurate curvature values for simulated data, and isolation of polyps near folds for clinical data. After testing on a large clinical data set, it was observed that sensitivities with linear, quadratic B-spline and cubic B-spline interpolations significantly improved the sensitivity for small polyp detection. Conclusions: The image interpolation can improve the accuracy of curvature estimation for thin structures and thus improve the computer-aided detection of small polyps in CTC.
Type de document :
Article dans une revue
Medical Physics, American Association of Physicists in Medicine, 2011, 38 (7), 〈10.1118/1.3596529〉
Liste complète des métadonnées

https://hal.inria.fr/hal-00645561
Contributeur : Rachid Deriche <>
Soumis le : lundi 28 novembre 2011 - 12:03:27
Dernière modification le : vendredi 23 février 2018 - 14:36:01

Lien texte intégral

Identifiants

Collections

Citation

Jiamin Liu, Kabadi Suraj, Uitert Robert Van, Ronald M. Summers, Nicholas Petrick, et al.. Improved computer-aided detection of small polyps in CT colonography using interpolation for curvature estimation. Medical Physics, American Association of Physicists in Medicine, 2011, 38 (7), 〈10.1118/1.3596529〉. 〈hal-00645561〉

Partager

Métriques

Consultations de la notice

227