Home In situ optical coherence tomography of percutaneous implant-tissue interfaces in a murine model
Article
Licensed
Unlicensed Requires Authentication

In situ optical coherence tomography of percutaneous implant-tissue interfaces in a murine model

  • Sabine Donner EMAIL logo , Oliver Müller , Frank Witte , Ivonne Bartsch , Elmar Willbold , Tammo Ripken , Alexander Heisterkamp , Bodo Rosenhahn and Alexander Krüger
Published/Copyright: May 17, 2013

Abstract

Novel surface coatings of percutaneous implants need to be tested in biocompatibility studies. The use of animal models for testing usually involves numerous lethal biopsies for the analysis of the implant-tissue interface. In this study, optical coherence tomography (OCT) was used to monitor the reaction of the skin to a percutaneous implant in an animal model of hairless but immunocompetent mice. In vivo optical biopsies with OCT were taken at days 7 and 21 after implantation and post mortem on the day of noticeable inflammation. A Fourier-domain OCT was programmed for spoke pattern scanning schemes centered at the implant midpoint to reduce motion artifacts during in vivo imaging. Image segmentation allowed the automatic detection and morphometric analysis of the skin contour and the subcutaneous implant anchor. On the basis of the segmentation, the overall refractive index of the tissue within one OCT data set was estimated as a free parameter of a fitting algorithm, which corrects for the curved distortion of the planar implant base in the OCT images. OCT in combination with the spoke scanning scheme and image processing provided time-resolved three-dimensional optical biopsies around the implants to assess tissue morphology.


Corresponding author: Sabine Donner, Biomedical Optics Department, Laser Zentrum Hannover e.V., D-30419 Hannover, Germany, Phone: +49 511 2788 325, Fax: +49 511 2788 100

This work is supported in part by funding from the German Research Foundation (DFG) and the Collaborative Research Center, Transregio 37. Some authors acknowledge the financial support of the BMBF project TExoPro and the NSF-ERC for Revolutionizing Metallic Biomaterials.

References

[1] Ballard DH. Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognit 1981; 13: 111–122.10.1016/0031-3203(81)90009-1Search in Google Scholar

[2] Cleveland WS. Robust locally weighted regression and smoothing scatterplots. J Am Stat Assoc 1979; 74: 829–836.10.1080/01621459.1979.10481038Search in Google Scholar

[3] Fercher F, Hitzenberger K, Kamp G, El-Zaiat SY. Measurement of intraocular distances by backscattering spectral interferometry. Optics Commun 1995; 117: 43–48.10.1016/0030-4018(95)00119-SSearch in Google Scholar

[4] Gambichler T, Jaedicke V, Terras S. Optical coherence tomography in dermatology: technical and clinical aspects. Arch Dermatol Res 2011; 303: 457–473. DOI:10.1007/s00403-011-1152-x.10.1007/s00403-011-1152-xSearch in Google Scholar

[5] Gladkova ND, Petrova GA, Nikulin NK, et al. In vivo optical coherence tomography imaging of human skin: norm and pathology. Skin Res Technol 2000; 6: 6–16.10.1034/j.1600-0846.2000.006001006.xSearch in Google Scholar

[6] Heaney TG, Doherty PJ, Williams DF. Marsupialization of percutaneous implants in presence of deep connective tissue. J Biomed Mater Res 1996; 32: 593–601. DOI:gt;3.0.CO;2-F.10.1002/(SICI)1097-4636(199612)32:4<593::AID-JBM12>3.0.CO;2-FSearch in Google Scholar

[7] Hori Y, Yasuno Y, Sakai S, et al. Automatic characterization and segmentation of human skin using three-dimensional optical coherence tomography. Opt Express 2006; 14: 1862–1877.10.1364/OE.14.001862Search in Google Scholar

[8] Huang D, Swanson EA, Lin CP, et al. Optical coherence tomography. Science 1991; 254: 1178–1181.10.1126/science.1957169Search in Google Scholar

[9] Kang W, Wang H, Wang Z, et al. Motion artifacts associated with in vivo endoscopic OCT images of the esophagus. Optics Express 2011; 19: 898–905.10.1364/OE.19.020722Search in Google Scholar

[10] Kim E, Ehrmann K, Uhlhorn S, Borja D, Parel J-M. Automated analysis of OCT images of the crystalline lens. In: Manns F, Soderberg PG, Ho A, editors. Proc SPIE 7163, Ophthalmic technologies XIX 2009: 716313. DOI:10.1117/12.809986.10.1117/12.809986Search in Google Scholar

[11] Klein T, Wieser W, Eigenwillig CM, Biedermann BR, Huber R. Megahertz OCT for ultrawide-field retinal imaging with a 1050 nm Fourier domain mode-locked laser. Optics Express 2011; 19: 3044–3062.10.1364/OE.19.003044Search in Google Scholar PubMed

[12] Li SZ. Markov random field modeling in image analysis, 3rd ed. London: Springer Publishing Company 2009.Search in Google Scholar

[13] Liew YM, McLaughlin RA, Wood FM, Sampson DD. Motion correction of in vivo three-dimensional optical coherence tomography of human skin using a fiducial marker. Biomed Optics Express 2012; 3: 1774–1786. DOI:10.1364/BOE.3.001774.10.1364/BOE.3.001774Search in Google Scholar PubMed PubMed Central

[14] Liew YM, McLaughlin RA, Wood FM, Sampson DD. Reduction of image artifacts in three-dimensional optical coherence tomography of skin in vivo. J Biomed Optics 2011; 16: 116018. DOI:10.1117/1.3652710.10.1117/1.3652710Search in Google Scholar PubMed

[15] McLaughlin RA, Armstrong JJ, Becker S, et al. Respiratory gating of anatomical optical coherence tomography images of the human airway. Optics Express 2009; 17: 6568–6577.10.1364/OE.17.006568Search in Google Scholar PubMed

[16] McNabb RP, Larocca F, Farsiu S, Kuo AN, Izatt JA. Distributed scanning volumetric SDOCT for motion corrected corneal biometry. Biomed Optics Express 2012; 3: 2050–2065. DOI:10.1364/BOE.3.002050.10.1364/BOE.3.002050Search in Google Scholar PubMed PubMed Central

[17] Müller O, Donner S, Klinder T. Compensating motion artifacts of 3D in vivo SD-OCT scans. Med Image Comput Comput Assist Interv 2012; 7510: 198–205. DOI:10.1007/978-3-642-33415-3_25.10.1007/978-3-642-33415-3_25Search in Google Scholar PubMed

[18] Müller O, Donner S, Klinder T, et al. Model based 3D segmentation and OCT image undistortion of percutaneous implants. In: 14th International conference on medical image computing and computer assisted intervention (MICCAI) 2011. Lecture notes in computer science, vol. 6893. Berlin: Springer 2011: 454–462.10.1007/978-3-642-23626-6_56Search in Google Scholar PubMed

[19] Pendegrass CJ, Goodship AE, Blunn GW. Development of a soft tissue seal around bone-anchored transcutaneous amputation prostheses. Biomaterials 2006; 27: 4183–4191. DOI:10.1016/j.biomaterials.2006.03.041.10.1016/j.biomaterials.2006.03.041Search in Google Scholar PubMed

[20] Shin Y, Akao M. Tissue reactions to various percutaneous materials with different surface properties and structures. Artif Organs 1997; 21: 995–1001.10.1111/j.1525-1594.1997.tb00514.xSearch in Google Scholar PubMed

[21] Staubach K-H, Grundei H. The first osseointegrated percutaneous anchor for an exoprosthesis, for routine use in above-knee amputees. Biomed Technik 2001; 46: 355–361.10.1515/bmte.2001.46.12.355Search in Google Scholar PubMed

[22] Tearney GJ, Brezinski ME, Southern JF, Bouma BE, Hee MR, Fujimoto JG. Determination of the refractive index of highly scattering human tissue by optical coherence tomography. Opt Lett 1995; 20: 2258–2260.10.1364/OL.20.002258Search in Google Scholar PubMed

[23] Uhlhorn SR, Borja D, Manns F, Parel J-M. Refractive index measurement of the isolated crystalline lens using optical coherence tomography. Vision Res 2008; 48: 2732–2738. DOI:10.1016/j.visres.2008.09.010.10.1016/j.visres.2008.09.010Search in Google Scholar PubMed PubMed Central

[24] von Recum AF. Applications and failure modes of percutaneous devices: a review. J Biomed Mater Res 1984; 18: 323–336. DOI:10.1002/jbm.820180403.10.1002/jbm.820180403Search in Google Scholar PubMed

[25] Walther J, Krüger A, Cuevas M, Koch E. Effects of axial, transverse, and oblique sample motion in FD OCT in systems with global or rolling shutter line detector. J Opt Soc Am A Optics Image Sci Vis 2008; 25: 2791–2802.10.1364/JOSAA.25.002791Search in Google Scholar

[26] Weissman J, Hancewicz T, Kaplan P. Optical coherence tomography of skin for measurement of epidermal thickness by shapelet-based image analysis. Opt Express 2004; 12: 5760–5769.10.1364/OPEX.12.005760Search in Google Scholar

[27] Westphal V, Rollins A, Radhakrishnan S, Izatt J. Correction of geometric and refractive image distortions in optical coherence tomography applying Fermat’s principle. Opt Express 2002; 10: 397–404.10.1364/OE.10.000397Search in Google Scholar PubMed

[28] Xie Y. A new efficient ellipse detection method. In: Kasturi R, Laurendeau D, Suen C, editors. International conference on pattern recognition 2002: 0–3.Search in Google Scholar

[29] Yun SH, Tearney GJ, De Boer JF, Bouma BE. Motion artifacts in optical coherence tomography with frequency-domain ranging. Opt Express 2004; 12: 2977–2998.10.1364/OPEX.12.002977Search in Google Scholar PubMed PubMed Central

Received: 2012-7-24
Accepted: 2013-4-12
Published Online: 2013-05-17
Published in Print: 2013-08-01

©2013 by Walter de Gruyter Berlin Boston

Downloaded on 13.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/bmt-2012-0044/html
Scroll to top button