Journal article


Improved cancer diagnostics by different image processing techniques on OCT images


Publication Details
Author(s): Kanawade R, Lengenfelder B, Menezes TM, Hohmann M, Kopfinger S, Hohmann T, Grabiec U, Klämpfl F, Menezes JG, Waldner M, Schmidt M
Publisher: International Society for Optical Engineering; 1999
Publication year: 2015
ISSN: 0277-786X
Language: English

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.



Focus Area of Individual Faculties


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- Spie the International Society for Optical Engineering. https://dx.doi.org/10.1117/12.2183838

MLA: Kanawade, Rajesh, et al. "Improved cancer diagnostics by different image processing techniques on OCT images." Proceedings- Spie the International Society for Optical Engineering (2015).

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