Improved cancer diagnostics by different image processing techniques on OCT images

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autor(en): Kanawade R, Lengenfelder B, Menezes TM, Hohmann M, Kopfinger S, Hohmann T, Grabiec U, Klämpfl F, Menezes JG, Waldner M, Schmidt M
Zeitschrift: Proceedings of SPIE
Verlag: International Society for Optical Engineering; 1999
Jahr der Veröffentlichung: 2015
ISSN: 0277-786X
Sprache: Englisch


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.



FAU-Autoren / FAU-Herausgeber

Hohmann, Martin
Erlangen Graduate School in Advanced Optical Technologies
Kanawade, Rajesh
Lehrstuhl für Photonische Technologien
Klämpfl, Florian Dr.-Ing.
Lehrstuhl für Photonische Technologien
Lengenfelder, Benjamin
Lehrstuhl für Photonische Technologien
Schmidt, Michael Prof. Dr.-Ing.
Lehrstuhl für Photonische Technologien
Waldner, Maximilian Prof. Dr.
Professur für Funktionelle Bildgebung in der Medizin


Autor(en) der externen Einrichtung(en)
Martin-Luther-Universität Halle-Wittenberg (MLU)


Zitierweisen

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://dx.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).

BibTeX: 

Zuletzt aktualisiert 2019-17-01 um 16:38