Presentation + Paper
18 June 2024 Fusion and integration pipelines for optical and chemical imaging data for clinical interpretation in ex vivo diagnosis
Mohd Rifqi Rafsanjani, Karin Jirstrom, Arman Rahman, Jochen H. M. Prehn, William Gallagher, Aidan D. Meade
Author Affiliations +
Abstract
In the realm of ex-vivo diagnosis, the integration of optical and chemical imaging data has emerged as a transformative approach, offering a comprehensive understanding of biological specimens at a molecular level. Chemical imaging of human tissue specimens provides an all-digital label-free approach to imaging in objective histopathology, though it requires reference to gold standard pathological (e.g. haematoxylin and eosin (H+E) stained) images for pathological interpretation.

Optical imaging techniques, such as microscopy and spectroscopy, provide detailed spatial information, capturing morphological features with high resolution. Concurrently, chemical imaging methods, including mass spectrometry and Raman spectroscopy, offer insights into molecular composition. The challenge lies in harnessing the complementary strengths of these disparate modalities to extract a holistic understanding of the sample.

In this work we present the results of several image alignment approaches for fusion and integration of chemical and pathological imaging data, demonstrating that the process of corner detection is crucial towards precise image alignment.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohd Rifqi Rafsanjani, Karin Jirstrom, Arman Rahman, Jochen H. M. Prehn, William Gallagher, and Aidan D. Meade "Fusion and integration pipelines for optical and chemical imaging data for clinical interpretation in ex vivo diagnosis", Proc. SPIE 13011, Data Science for Photonics and Biophotonics, 1301108 (18 June 2024); https://doi.org/10.1117/12.3022269
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KEYWORDS
Image fusion

Image registration

Image segmentation

Corner detection

Imaging spectroscopy

Image processing

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