Improved cancer diagnostics by different image processing techniques on OCT images

Kanawade R, Lengenfelder B, Menezes TM, Hohmann M, Kopfinger S, Hohmann T, Grabiec U, Klämpfl F, Menezes JG, Waldner M, Schmidt M (2015)

Publication Language: English

Publication Type: Journal article

Publication year: 2015

Journal

Proceedings of SPIE Society of Photo-optical Instrumentation Engineers (SPIE)

Publisher: International Society for Optical Engineering; 1999

DOI: 10.1117/12.2183838

Open Access Link: http://spie.org/Publications/Proceedings/Paper/10.1117/12.2183838

Abstract

Optical-coherence tomography (OCT) is a promising non-invasive, high-resolution imaging modality which can be used for cancer diagnosis and its therapeutic assessment. However, speckle noise makes detection of cancer boundaries and image segmentation problematic and unreliable. Therefore, to improve the image analysis for a precise cancer border detection, the performance of different image processing algorithms such as mean, median, hybrid median filter and rotational kernel transformation (RKT) for this task is investigated. This is done on OCT images acquired from an ex-vivo human cancerous mucosa and in vitro by using cultivated tumour applied on organotypical hippocampal slice cultures. The preliminary results confirm that the border between the healthy and the cancer lesions can be identified precisely. The obtained results are verified with fluorescence microscopy. This research can improve cancer diagnosis and the detection of borders between healthy and cancerous tissue. Thus, it could also reduce the number of biopsies required during screening endoscopy by providing better guidance to the physician.

Authors with CRIS profile

Rajesh Kanawade Lehrstuhl für Photonische Technologien (LPT) Benjamin Lengenfelder Lehrstuhl für Photonische Technologien (LPT) Martin Hohmann Erlangen Graduate School in Advanced Optical Technologies (SAOT) Florian Klämpfl Lehrstuhl für Photonische Technologien (LPT) Maximilian Waldner Professur für Funktionelle Bildgebung in der Medizin Michael Schmidt Lehrstuhl für Photonische Technologien (LPT)

Involved external institutions

Martin-Luther-Universität Halle-Wittenberg (MLU) DE Germany (DE)

How to cite

APA:

Kanawade, R., Lengenfelder, B., Menezes, T.M., Hohmann, M., Kopfinger, S., Hohmann, T.,... Schmidt, M. (2015). Improved cancer diagnostics by different image processing techniques on OCT images. Proceedings of SPIE. https://doi.org/10.1117/12.2183838

MLA:

Kanawade, Rajesh, et al. "Improved cancer diagnostics by different image processing techniques on OCT images." Proceedings of SPIE (2015).

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