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J Biomed Opt. 2013 Aug;18(8):86007. doi: 10.1117/1.JBO.18.8.086007.

Fast segmentation and high-quality three-dimensional volume mesh creation from medical images for diffuse optical tomography.

Author information

  • 1Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, USA. michael.jermyn@dartmouth.edu

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.

PMID:
23942632
[PubMed - indexed for MEDLINE]
PMCID:
PMC3739873
[Available on 2014/8/12]
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