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Correction of mosaicking artefacts in multimodal images caused by uneven illumination

Titelangaben

Chernavskaia, Olga ; Guo, Shuxia ; Meyer, Tobias ; Vogler, Nadine ; Akimov, Denis ; Heuke, Sandro ; Heintzmann, Rainer ; Bocklitz, Thomas ; Popp, Jürgen:
Correction of mosaicking artefacts in multimodal images caused by uneven illumination.
In: Journal of Chemometrics. Bd. 31 (2017) Heft 6 . - e2901.
ISSN 1099-128X
DOI: https://doi.org/10.1002/cem.2901

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

Recent advances in nonlinear multimodal imaging, eg, the combination of coherent anti-Stokes Raman scattering, 2-photon excited autofluorescence, and second-harmonic generation, have shown the great potential of this imaging technique for medical diagnostics. To extract reliable diagnostic information from these multimodal images, a complex image-processing pipeline is necessary. A major part of this image-processing pipeline is the elimination of the mosaicking artifact caused by an uneven illumination within the images. While this problem is well known in image processing of photographic images and methods to solve it were developed, their direct application to multimodal images does not yield satisfactory results. This fact results from the nonlinearity of the measurement modalities and characteristics of the multimodal images itself. In this contribution, different approaches to correct the mosaicking are considered and adapted to multimodal images. In this tutorial article, an investigation and comparative analysis of correction methods were performed, and practical recommendations for the application of different methods are given. The results of this paper can be applied to the development of complete or partial automatic software for medical diagnostics using nonlinear multimodal imaging techniques.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: image analysis; image enhancement; image reconstruction techniques; medical and biological imaging; multiphoton processes
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 530 Physik
Eingestellt am: 19 Mai 2023 10:08
Letzte Änderung: 19 Mai 2023 10:08
URI: https://eref.uni-bayreuth.de/id/eprint/76295