A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints

Authors:
Mingxing Hu;Graeme Penney;Daniel Rueckert;Philip Edwards;Michael Figl;Philip Pratt;David Hawkes
Affiliations:
Centre for Medical Image Computing, University College London,;Department of Imaging Sciences, King's College London, ,;Visual Information Processing, Department of Computing, Imperial College, ,;Department of Surgical Oncology and Technology, Imperial College, , London, United Kingdom;Department of Surgical Oncology and Technology, Imperial College, , London, United Kingdom;Department of Surgical Oncology and Technology, Imperial College, , London, United Kingdom;Centre for Medical Image Computing, University College London,
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

Recently, much attention has been focused on heart motion analysis for minimally invasive beating-heart surgery. Unfortunately existing techniques usually require the camera(s) to be fixed during the motion analysis, which can restrict its usefulness during surgery. In this paper we present a novel method for heart motion analysis using geometric constraint, which can estimate the motion from a moving camera and employ multiple image features to improve robustness to noise. Our approach combines the benefits of geometry estimation for obtaining an accurate and robust solution with the proper treatment of respiratory motion. The proposed method can be applied to not only beating heart surgery, but also to other procedures involving periodic organ motion, such as lung and liver.