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Combining Conformal Deformation and CookâTorrance Shading for 3-D Reconstruction in Laparoscopy
- Source :
- IEEE Transactions on Biomedical Engineering. 61:1684-1692
- Publication Year :
- 2014
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2014.
-
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.
- Subjects :
- Swine
Computer science
Biomedical Engineering
Motion (geometry)
Conformal map
Iterative reconstruction
Geometric shape
Tracking (particle physics)
Image (mathematics)
Imaging, Three-Dimensional
Animals
Humans
Computer vision
Lung
Sheep
Monocular
business.industry
Uterus
Liver
Surgery, Computer-Assisted
Female
Laparoscopy
Shading
Artificial intelligence
business
Algorithms
Surface reconstruction
Subjects
Details
- ISSN :
- 15582531 and 00189294
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....2619ace31a7c248415813bddc26a9995
- Full Text :
- https://doi.org/10.1109/tbme.2014.2300237