Affine-invariant anisotropic detector for soft tissue tracking in minimally invasive surgery

Authors:
Stamatia Giannarou;Marco Visentini-Scarzanella;Guang-Zhong Yang
Affiliations:
Institute of Biomedical Engineering, Imperial College London, London, UK;Institute of Biomedical Engineering, Imperial College London, London, UK;Institute of Biomedical Engineering, Imperial College London, London, UK
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 6
Cited 5

A computational approach for corner and vertex detection

International Journal of Computer Vision
Feature Detection with Automatic Scale Selection

International Journal of Computer Vision
Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?"

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Scale & Affine Invariant Interest Point Detectors

International Journal of Computer Vision
A Comparison of Affine Region Detectors

International Journal of Computer Vision
Soft-tissue motion tracking and structure estimation for robotic assisted MIS procedures

MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Tracking of irregular graphical structures for tissue deformation recovery in minimally invasive surgery

MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Content-based surgical workflow representation using probabilistic motion modeling

MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Tissue deformation recovery with gaussian mixture model based structure from motion

AE-CAI'11 Proceedings of the 6th international conference on Augmented Environments for Computer-Assisted Interventions
A comparative study of correspondence-search algorithms in MIS images

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Reliable feature tracking is important for accurate tissue deformation recovery, 3D anatomical registration and navigation in computer assisted minimally invasive surgical procedures. Despite a wide range of feature detectors developed in the computer vision community, direct application of these approaches to surgical navigation has shown significant difficulties due to the paucity of reliable feature landmarks coupled with free-form tissue deformation and contrastingly different visual appearances of changing surgical scenes. The purpose of this paper is to introduce an affine-invariant feature detector based on anisotropic features to ensure reliable and persistent feature tracking. A novel scale-space representation is proposed for scale adaptation based on the strength of the anisotropic pattern whereas affine adaptation relies on its intrinsic Fourier properties with an efficient spatial implementation based on the second moment matrix. The proposed detector is compared against the current state-of-the-art feature detectors and their respective performance is evaluated with in vivo video sequences recorded from robotic assisted minimally invasive surgical procedures.