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12 August 2013 Fast segmentation and high-quality three-dimensional volume mesh creation from medical images for diffuse optical tomography
Michael Jermyn, Hamid R. Ghadyani, Michael A. Mastanduno, Wesley D. Turner, Scott C. Davis, Hamid Dehghani, Brian W. Pogue
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Journal of Biomedical Optics, Vol. 18, Issue 8, 086007 (August 2013). https://doi.org/10.1117/1.JBO.18.8.086007
Abstract
Multimodal approaches that combine near-infrared (NIR) and conventional imaging modalities have been shown to improve optical parameter estimation dramatically and thus represent a prevailing trend in NIR imaging. These approaches typically involve applying anatomical templates from magnetic resonance imaging/computed tomography/ultrasound images to guide the recovery of optical parameters. However, merging these data sets using current technology requires multiple software packages, substantial expertise, significant time-commitment, and often results in unacceptably poor mesh quality for optical image reconstruction, a reality that represents a significant roadblock for translational research of multimodal NIR imaging. This work addresses these challenges directly by introducing automated digital imaging and communications in medicine image stack segmentation and a new one-click three-dimensional mesh generator optimized for multimodal NIR imaging, and combining these capabilities into a single software package (available for free download) with a streamlined workflow. Image processing time and mesh quality benchmarks were examined for four common multimodal NIR use-cases (breast, brain, pancreas, and small animal) and were compared to a commercial image processing package. Applying these tools resulted in a fivefold decrease in image processing time and 62% improvement in minimum mesh quality, in the absence of extra mesh postprocessing. These capabilities represent a significant step toward enabling translational multimodal NIR research for both expert and nonexpert users in an open-source platform.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Michael Jermyn, Hamid R. Ghadyani, Michael A. Mastanduno, Wesley D. Turner, Scott C. Davis, Hamid Dehghani, and Brian W. Pogue "Fast segmentation and high-quality three-dimensional volume mesh creation from medical images for diffuse optical tomography," Journal of Biomedical Optics 18(8), 086007 (12 August 2013). https://doi.org/10.1117/1.JBO.18.8.086007
Published: 12 August 2013
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Cited by 157 scholarly publications and 2 patents.
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KEYWORDS
Image segmentation
3D image processing
Tissues
Magnetic resonance imaging
Medical imaging
Breast
Image processing
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