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Stereoscopic visualization of laparoscope image using depth information from 3D model
- Source :
- Computer methods and programs in biomedicine. 113(3)
- Publication Year :
- 2013
-
Abstract
- Laparoscopic surgery is indispensable from the current surgical procedures. It uses an endoscope system of camera and light source, and surgical instruments which pass through the small incisions on the abdomen of the patients undergoing laparoscopic surgery. Conventional laparoscope (endoscope) systems produce 2D colored video images which do not provide surgeons an actual depth perception of the scene. In this work, the problem was formulated as synthesizing a stereo image of the monocular (conventional) laparoscope image by incorporating into them the depth information from a 3D CT model. Various algorithms of the computer vision including the algorithms for the feature detection, matching and tracking in the video frames, and for the reconstruction of 3D shape from shading in the 2D laparoscope image were combined for making the system. The current method was applied to the laparoscope video at the rate of up to 5 frames per second to visualize its stereo video. A correlation was investigated between the depth maps calculated with our method with those from the shape from shading algorithm. The correlation coefficients between the depth maps were within the range of 0.70-0.95 (P
- Subjects :
- Laparoscopic surgery
genetic structures
Endoscope
Matching (graph theory)
Computer science
medicine.medical_treatment
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Health Informatics
Video-Assisted Surgery
Imaging, Three-Dimensional
Computer graphics (images)
Image Interpretation, Computer-Assisted
medicine
Humans
Computer vision
Four-Dimensional Computed Tomography
Laparoscopy
ComputingMethodologies_COMPUTERGRAPHICS
Feature detection (computer vision)
Depth Perception
Monocular
medicine.diagnostic_test
business.industry
Computational Biology
Frame rate
Computer Science Applications
Photometric stereo
Artificial intelligence
Depth perception
business
Software
Algorithms
Subjects
Details
- ISSN :
- 18727565
- Volume :
- 113
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Computer methods and programs in biomedicine
- Accession number :
- edsair.doi.dedup.....9a6361214428625f0dc9801aaae43323