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Computer Aided Surgery Volume 19, 2014 - Issue 1-3
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Clinical Papers

Automated registration of optical coherence tomography and dermoscopy in the assessment of sub-clinical spread in basal cell carcinoma

A. J. ColemanMedical Physics Department, Guy’s and St. Thomas’ Foundation TrustLondonCorrespondence[email protected]
,
G. P. PenneyDivision of Imaging Sciences and Biomedical Engineering, King’s College LondonLondon
,
T. J. RichardsonMedical Physics Department, Guy’s and St. Thomas’ Foundation TrustLondon
,
A. GuyotDivision of Imaging Sciences and Biomedical Engineering, King’s College LondonLondon
,
M. J. ChoiMedical Physics Department, Guy’s and St. Thomas’ Foundation TrustLondon
,
N. ShethDermatological Surgery and Laser Unit, St. John’s Institute of DermatologyLondon
,
E. CraythorneDermatological Surgery and Laser Unit, St. John’s Institute of DermatologyLondon
,
A. RobsonDermatopathology, St. John’s Institute of Dermatology LondonUnited Kingdom
&
R. MallipeddiDermatological Surgery and Laser Unit, St. John’s Institute of DermatologyLondon
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Pages 1-12 | Received 14 Jun 2013, Accepted 11 Dec 2013, Published online: 01 May 2014

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Wenbin Zhang, Xudong Wang, Jianfei Zhang & Guofang Shen. (2016) Application of preoperative registration and automatic tracking technique for image-guided maxillofacial surgery. Computer Assisted Surgery 21:1, pages 137-142.
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Articles from other publishers (11)

K. B. E. Holm, L. J. Nielsen, J. Lock‐Andersen, N. Behrendt, M. S. Svensson, L. Themstrup & G. B. E. Jemec. (2023) Optical coherence tomography for presurgical delineation of basal cell carcinomas on the face—A comparison with histopathology. Journal of Cutaneous Pathology 50:5, pages 441-449.
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Tianxin Gao, Shuai Liu, Enze Gao, Ancong Wang, Xiaoying Tang & Yingwei Fan. (2022) Automatic Segmentation of Laser-Induced Injury OCT Images Based on a Deep Neural Network Model. International Journal of Molecular Sciences 23:19, pages 11079.
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B. Wan, C. Ganier, X. Du‐Harpur, N. Harun, F.M. Watt, R. Patalay & M.D. Lynch. (2020) Applications and future directions for optical coherence tomography in dermatology. British Journal of Dermatology.
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N. Reddy & B.T. Nguyen. (2018) The utility of optical coherence tomography for diagnosis of basal cell carcinoma: a quantitative review. British Journal of Dermatology 180:3, pages 475-483.
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Labrinus van Manen, Jouke Dijkstra, Claude Boccara, Emilie Benoit, Alexander L. Vahrmeijer, Michalina J. Gora & J. Sven D. Mieog. (2018) The clinical usefulness of optical coherence tomography during cancer interventions. Journal of Cancer Research and Clinical Oncology 144:10, pages 1967-1990.
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Amanda Levine, Daniel Siegel & Orit Markowitz. (2017) Imaging in cutaneous surgery. Future Oncology 13:26, pages 2329-2340.
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Amanda Levine, Katie Wang & Orit Markowitz. (2017) Optical Coherence Tomography in the Diagnosis of Skin Cancer. Dermatologic Clinics 35:4, pages 465-488.
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Soonjae Kwon, Yeoreum Yoon, Bumju Kim, Won Hyuk Jang, Byungho Oh, Kee Yang Chung & Ki Hean Kim. (2017) Dermoscopy guided dark-field multi-functional optical coherence tomography. Biomedical Optics Express 8:3, pages 1372.
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H.M. Cheng & P. Guitera. (2015) Systematic review of optical coherence tomography usage in the diagnosis and management of basal cell carcinoma. British Journal of Dermatology 173:6, pages 1371-1380.
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Jac Dinnes, Kai Yuen Wong, Abha Gulati, Naomi Chuchu, Jo Leonardi-Bee, Susan E Bayliss, Yemisi Takwoingi, Clare Davenport, Rubeta N Matin, Fiona J Bath-Hextall, Abhilash Jain, John T Lear, Richard Motley, Jonathan J Deeks, Hywel C Williams, Kathie Godfrey & Colette O'Sullivan. (2015) Tests to assist in the diagnosis of keratinocyte skin cancers in adults: a generic protocol. Cochrane Database of Systematic Reviews.
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M. Duffy, T. J. Richardson, E. Craythorne, R. Mallipeddi & A. J. Coleman. Motion tracking to enable pre-surgical margin mapping in basal cell carcinoma using optical imaging modalities: initial feasibility study using optical coherence tomography. Motion tracking to enable pre-surgical margin mapping in basal cell carcinoma using optical imaging modalities: initial feasibility study using optical coherence tomography.

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