Title :
Combining Conformal Deformation and Cook–Torrance Shading for 3-D Reconstruction in Laparoscopy
Author :
Malti, Abed ; Bartoli, Alberto
Author_Institution :
ALCoV-ISIT, Univ. d´Auvergne, Clermont-Ferrand, France
Abstract :
We propose a new monocular 3-D reconstruction method adapted for reconstructing organs in the abdominal cavity. It combines both motion and shading cues. The former uses a conformal deformation prior and the latter the Cook-Torrance reflectance model. Our method runs in two phases: first, a 3-D geometric and photometric template of the organ at rest is reconstructed in vivo. The geometric shape is reconstructed using rigid shape-from-motion while the surgeon is exploring-but not deforming-structures in the abdominal cavity. This geometric template is then used to retrieve the photometric properties. A nonparametric model of the light´s direction of the laparoscope and the Cook-Torrance reflectance model of the organ´s tissue are estimated. Second, the surgeon manipulates and deforms the environment. Here, the 3-D template is conformally deformed to globally match a set of few correspondences between the 2-D image data provided by the monocular laparoscope and the 3-D template. Then, the coarse 3-D shape is refined using shading cues to obtain a final 3-D deformed shape. This second phase only relies on a single image. Therefore, it copes with both sequential processing and self-recovery from tracking failure. The proposed approach has been validated using 1) ex vivo and in vivo data with ground-truth, and 2) in vivo laparoscopic videos of a patient´s uterus. Our experimental results illustrate the ability of our method to reconstruct natural 3-D deformations typical in real surgical procedures.
Keywords :
biological organs; biological tissues; biomechanics; deformation; image reconstruction; medical image processing; surgery; 2D image data; 3D deformed shape; 3D geometric template; 3D photometric template; Cook-Torrance reflectance model; Cook-Torrance shading; abdominal cavity; conformal deformation; geometric shape; in vivo laparoscopic videos; in vivo reconstruction; monocular 3D reconstruction method; monocular laparoscope; nonparametric model; organ at rest; organ reconstruction; photometric properties; rigid shape; self-recovery; sequential processing; surgical procedures; tissue; tracking failure; uterus; Cameras; Image reconstruction; Laparoscopes; Shape; Surface reconstruction; Surgery; Three-dimensional displays; Deformable surface; laparoscopy; monocular 3-D reconstruction; motion; shading;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2014.2300237