A Semi-automated Approach to Improve the Efficiency of Medical Imaging Segmentation for Haptic Rendering

The Sensimmer platform represents our ongoing research on simultaneous haptics and graphics rendering of 3D models. For simulation of medical and surgical procedures using Sensimmer, 3D models must be obtained from medical imaging data, such as magnetic resonance imaging (MRI) or computed tomography...

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Bibliographic Details
Published in:Journal of digital imaging 2017-08, Vol.30 (4), p.519-527
Main Authors: Banerjee, Pat, Hu, Mengqi, Kannan, Rahul, Krishnaswamy, Srinivasan
Format: Article
Language:English
Subjects:
Algorithms
Aorta - diagnostic imaging
Automation
Computed tomography
Computer simulation
Datasets as Topic
Efficiency
Haptics
Hough transformation
Humans
Image contrast
Image processing
Image segmentation
Imaging
Imaging, Three-Dimensional - methods
Intervertebral Disc - diagnostic imaging
Magnetic Resonance Imaging
Medical electronics
Medical imaging
Medicine
Medicine & Public Health
NMR
Nuclear magnetic resonance
Radiology
Rendering
Surgery
Three dimensional models
Tomography, X-Ray Computed - methods
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Summary:The Sensimmer platform represents our ongoing research on simultaneous haptics and graphics rendering of 3D models. For simulation of medical and surgical procedures using Sensimmer, 3D models must be obtained from medical imaging data, such as magnetic resonance imaging (MRI) or computed tomography (CT). Image segmentation techniques are used to determine the anatomies of interest from the images. 3D models are obtained from segmentation and their triangle reduction is required for graphics and haptics rendering. This paper focuses on creating 3D models by automating the segmentation of CT images based on the pixel contrast for integrating the interface between Sensimmer and medical imaging devices, using the volumetric approach, Hough transform method, and manual centering method. Hence, automating the process has reduced the segmentation time by 56.35% while maintaining the same accuracy of the output at ±2 voxels.
ISSN:0897-1889
1618-727X
DOI:10.1007/s10278-017-9985-2