3D reconstruction of internal organ surfaces for minimal invasive surgery

Authors:
Mingxing Hu;Graeme Penney;Philip Edwards;Michael Figl;David Hawkes
Affiliations:
Centre for Medical Image Computing, University College London;Centre for Medical Image Computing, University College London;Department of Surgical Oncology and Technology, Imperial College London, London, United Kingdom;Department of Surgical Oncology and Technology, Imperial College London, London, United Kingdom;Centre for Medical Image Computing, University College London
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

Citing 10
Cited 8

A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Shape and motion from image streams under orthography: a factorization method

International Journal of Computer Vision
Linear fitting with missing data for structure-from-motion

Computer Vision and Image Understanding
A Factorization Based Algorithm for Multi-Image Projective Structure and Motion

ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Structure from Many Perspective Images with Occlusions

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Towards Endoscopic Augmented Reality for Robotically Assisted Minimally Invasive Cardiac Surgery

MIAR '01 Proceedings of the International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
Epipolar geometry estimation based on evolutionary agents

Pattern Recognition
An iterative image registration technique with an application to stereo vision

IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Simultaneous stereoscope localization and soft-tissue mapping for minimal invasive surgery

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Real-Time endoscopic mosaicking

MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Model Completion via Deformation Cloning Based on an Explicit Global Deformation Model

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Time-of-Flight 3-D Endoscopy

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Biopsy Site Re-localisation Based on the Computation of Epipolar Lines from Two Previous Endoscopic Images

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Towards live monocular 3d laparoscopy using shading and specularity information

IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
3D reconstruction in laparoscopy with close-range photometric stereo

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Endoscopy-MR image fusion for image guided procedures

Journal of Biomedical Imaging

Quantified Score

Hi-index	0.00

Visualization

Abstract

While Minimally Invasive Surgery (MIS) offers great benefits to patients compared with open surgery surgeons suffer from a restricted field-of-view and obstruction from instruments. We present a novel method for 3D reconstruction of soft tissue, which can provide a wider field-of-view with 3D information for surgeons, including restoration of missing data. The paper focuses on the use of Structure from Motion (SFM) techniques to solve the missing data problem and application of competitive evolutionary agents to improve the robustness to missing data and outliers. The method has been evaluated with synthetic data, images from a phantom heart model, and in vivo MIS image sequences using the da Vinci telerobotic surgical system.