Cartilage thickness measurements from optical coherence tomography.

We describe a new semiautomatic image processing method for detecting the cartilage boundaries in optical coherence tomography (OCT). In particular, we focus on rabbit cartilage since this is an important animal model for testing both chondroprotective agents and cartilage repair techniques. The novel boundary-detection system presented here consists of (1) an adaptive filtering technique for image enhancement and speckle reduction, (2) edge detection, and (3) edge linking by graph searching. The procedure requires several steps and can be automated. The quantitative measurements of cartilage thickness on OCT images correlated well with measurements from histology.

[1]  Kim L. Boyer,et al.  Retinal thickness measurements from optical coherence tomography using a Markov boundary model , 2001, IEEE Transactions on Medical Imaging.

[2]  W T Rhodes,et al.  Nonlinear image processing by a rotating kernel transformation. , 1990, Optics letters.

[3]  J. G. Fujimoto,et al.  Assessing atherosclerotic plaque morphology: comparison of optical coherence tomography and high frequency intravascular ultrasound. , 1997, Heart.

[4]  James G. Fujimoto,et al.  High resolution in vivo imaging of osteoarthritic cartilage , 2002 .

[5]  Joseph M. Schmitt,et al.  Speckle noise reduction for optical coherence tomography , 1998, European Conference on Biomedical Optics.

[6]  B E Bouma,et al.  High resolution imaging of normal and osteoarthritic cartilage with optical coherence tomography. , 1999, The Journal of rheumatology.

[7]  J G Fujimoto,et al.  Correlation of collagen organization with polarization sensitive imaging of in vitro cartilage: implications for osteoarthritis. , 2001, The Journal of rheumatology.

[8]  Alberto Martelli,et al.  Edge detection using heuristic search methods , 1972, Comput. Graph. Image Process..

[9]  J. Fujimoto,et al.  In vivo endoscopic optical biopsy with optical coherence tomography. , 1997, Science.

[10]  K D Brandt,et al.  Experimental assessment by high frequency ultrasound of articular cartilage thickness and osteoarthritic changes. , 1995, The Journal of rheumatology.

[11]  Steven R. Fleagle,et al.  Methods of graph searching for border detection in image sequences with applications to cardiac magnetic resonance imaging , 1995, IEEE Trans. Medical Imaging.

[12]  J M Schmitt,et al.  Restoration of Optical Coherence Images of Living Tissue Using the CLEAN Algorithm. , 1998, Journal of biomedical optics.

[13]  Milan Sonka,et al.  Segmentation of intravascular ultrasound images: a knowledge-based approach , 1995, IEEE Trans. Medical Imaging.

[14]  J. Snapper.  Scratching the Surface , 2004 .

[15]  J. Schmitt,et al.  Phase-domain processing of optical coherence tomography images. , 1999, Journal of biomedical optics.

[16]  Mark E. Brezinski,et al.  Evaluation of the adaptive speckle suppression filter for coronary optical coherence tomography imaging , 2000, IEEE Transactions on Medical Imaging.

[17]  J. Fujimoto,et al.  Optical coherence tomography for optical biopsy. Properties and demonstration of vascular pathology. , 1996, Circulation.

[18]  R. Malamet,et al.  A survey of osteoarthritis of the knee in the elderly. , 1983, The Journal of rheumatology.

[19]  J. Fujimoto,et al.  Determination of the refractive index of highly scattering human tissue by optical coherence tomography. , 1995, Optics letters.

[20]  Alberto Martelli,et al.  An application of heuristic search methods to edge and contour detection , 1976, CACM.

[21]  J. Fujimoto,et al.  Optical Coherence Tomography , 1991 .

[22]  Milan Sonka,et al.  Adaptive approach to accurate analysis of small-diameter vessels in cineangiograms , 1997, IEEE Transactions on Medical Imaging.

[23]  Jadwiga Rogowska,et al.  Image processing techniques for noise removal, enhancement and segmentation of cartilage OCT images. , 2002, Physics in medicine and biology.

[24]  Mark E. Brezinski,et al.  Evaluation of rotational kernel transformation technique for enhancement of coronary optical coherence tomography images , 2000, SPIE Optics + Photonics.

[25]  M. Brezinski,et al.  Optical coherence tomography image enhancement using Sticks technique , 2000, CLEO 2000.

[26]  J. F. Brenner,et al.  Two graph searching techniques for boundary finding in white blood cell images. , 1978, Computers in biology and medicine.

[27]  J. Schmitt,et al.  Speckle in optical coherence tomography. , 1999, Journal of biomedical optics.

[28]  L D Hall,et al.  Detection and monitoring of progressive degeneration of osteoarthritic cartilage by MRI. , 1995, Acta orthopaedica Scandinavica. Supplementum.

[29]  E A Swanson,et al.  Quantification of nerve fiber layer thickness in normal and glaucomatous eyes using optical coherence tomography. , 1995, Archives of ophthalmology.