Paper
8 March 2013 Performance assessment of 3D surface imaging technique for medical imaging applications
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Abstract
Recent development in optical 3D surface imaging technologies provide better ways to digitalize the 3D surface and its motion in real-time. The non-invasive 3D surface imaging approach has great potential for many medical imaging applications, such as motion monitoring of radiotherapy, pre/post evaluation of plastic surgery and dermatology, to name a few. Various commercial 3D surface imaging systems have appeared on the market with different dimension, speed and accuracy. For clinical applications, the accuracy, reproducibility and robustness across the widely heterogeneous skin color, tone, texture, shape properties, and ambient lighting is very crucial. Till now, a systematic approach for evaluating the performance of different 3D surface imaging systems still yet exist. In this paper, we present a systematic performance assessment approach to 3D surface imaging system assessment for medical applications. We use this assessment approach to exam a new real-time surface imaging system we developed, dubbed "Neo3D Camera", for image-guided radiotherapy (IGRT). The assessments include accuracy, field of view, coverage, repeatability, speed and sensitivity to environment, texture and color.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tuotuo Li, Jason Geng, and Shidong Li "Performance assessment of 3D surface imaging technique for medical imaging applications", Proc. SPIE 8618, Emerging Digital Micromirror Device Based Systems and Applications V, 861803 (8 March 2013); https://doi.org/10.1117/12.2001456
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KEYWORDS
3D image processing

Cameras

Imaging systems

3D acquisition

Stereoscopy

Calibration

3D modeling

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