Motion correction of in vivo three-dimensional optical coherence tomography of human skin using a fiducial marker

被引:30
作者
Liew, Yih Miin [1 ]
McLaughlin, Robert A. [1 ]
Wood, Fiona M. [2 ,3 ]
Sampson, David D. [1 ,4 ]
机构
[1] Univ Western Australia, Opt Biomed Engn Lab, Sch Elect Elect & Comp Engn, Crawley, WA 6009, Australia
[2] Royal Perth Hosp, Burns Serv Western Australia, Perth, WA 6000, Australia
[3] Univ Western Australia, Burn Injury Res Unit, Sch Surg, Crawley, WA 6009, Australia
[4] Univ Western Australia, Ctr Microscopy Characterisat & Anal, Crawley, WA 6009, Australia
关键词
MEDICAL IMAGE REGISTRATION; 20-MHZ ULTRASOUND; ARTIFACTS; THICKNESS; LESIONS; OCT; PATTERN;
D O I
10.1364/BOE.3.001774
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This paper presents a novel method based on a fiducial marker for correction of motion artifacts in 3D, in vivo, optical coherence tomography (OCT) scans of human skin and skin scars. The efficacy of this method was compared against a standard cross-correlation intensity-based registration method. With a fiducial marker adhered to the skin, OCT scans were acquired using two imaging protocols: direct imaging from air into tissue; and imaging through ultrasound gel into tissue, which minimized the refractive index mismatch at the tissue surface. The registration methods were assessed with data from both imaging protocols and showed reduced distortion of skin features due to motion. The fiducial-based method was found to be more accurate and robust, with an average RMS error below 20 mu m and success rate above 90%. In contrast, the intensity-based method had an average RMS error ranging from 36 to 45 mu m, and a success rate from 50% to 86%. The intensity-based algorithm was found to be particularly confounded by corrugations in the skin. By contrast, tissue features did not affect the fiducial-based method, as the motion correction was based on delineation of the flat fiducial marker. The average computation time for the fiducial-based algorithm was approximately 21 times less than for the intensity-based algorithm. (C) 2012 Optical Society of America
引用
收藏
页码:1774 / 1786
页数:13
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