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Multi-Modal Image Registration Pipeline Combining Near-Infrared Fluorescence Optical Imaging and MRI

Zerweck, Lukas ; Bergman, Tim Alexander ; Wesarg, Stefan ; Kohlhammer, Jörn ; Köhm, Michaela (2024)
Multi-Modal Image Registration Pipeline Combining Near-Infrared Fluorescence Optical Imaging and MRI.
2024 IEEE International Symposium on Biomedical Imaging (ISBI). Athens, Greece (27.5.2024 - 30.5.2024)
doi: 10.1109/ISBI56570.2024.10635632
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Using near-infrared fluorescence optical imaging (NIR-FOI) in the field of rheumatology for the visualization of the hands’ micro-circulation is still a relatively new method for investigating clinically relevant musculoskeletal inflammation. Previous work has shown that it might enable the detection of sub-clinical arthritis. In this work, we describe a pipeline to register and visualize volumetric MRI data with spatio-temporal NIR-FOI image stacks, as well as the results of a previously developed objective evaluation method of NIR-FOI data. This combination of both imaging modalities connects the high anatomical resolution of MRI and functional information of the NIR-FOI data, simplifies and increases the quality of the diagnosis-making process, and should facilitate the transition of a research project into a real-life application. Additionally, this fusion of imaging modalities should support medical researchers to understand the underlying pathophysiological mechanisms of psoriatic arthritis, which are not fully understood, yet.The suggested visualization addresses a specific medical condition. However, the visualization pipeline can be reused for any type of spatio-temporal and volumetric data registration as well as the additional inclusion of objective analysis results.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2024
Autor(en): Zerweck, Lukas ; Bergman, Tim Alexander ; Wesarg, Stefan ; Kohlhammer, Jörn ; Köhm, Michaela
Art des Eintrags: Bibliographie
Titel: Multi-Modal Image Registration Pipeline Combining Near-Infrared Fluorescence Optical Imaging and MRI
Sprache: Englisch
Publikationsjahr: 22 August 2024
Verlag: IEEE
Buchtitel: IEEE International Symposium on Biomedical Imaging ISBI 2024: Conference Proceedings
Veranstaltungstitel: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Veranstaltungsort: Athens, Greece
Veranstaltungsdatum: 27.5.2024 - 30.5.2024
DOI: 10.1109/ISBI56570.2024.10635632
Kurzbeschreibung (Abstract):

Using near-infrared fluorescence optical imaging (NIR-FOI) in the field of rheumatology for the visualization of the hands’ micro-circulation is still a relatively new method for investigating clinically relevant musculoskeletal inflammation. Previous work has shown that it might enable the detection of sub-clinical arthritis. In this work, we describe a pipeline to register and visualize volumetric MRI data with spatio-temporal NIR-FOI image stacks, as well as the results of a previously developed objective evaluation method of NIR-FOI data. This combination of both imaging modalities connects the high anatomical resolution of MRI and functional information of the NIR-FOI data, simplifies and increases the quality of the diagnosis-making process, and should facilitate the transition of a research project into a real-life application. Additionally, this fusion of imaging modalities should support medical researchers to understand the underlying pathophysiological mechanisms of psoriatic arthritis, which are not fully understood, yet.The suggested visualization addresses a specific medical condition. However, the visualization pipeline can be reused for any type of spatio-temporal and volumetric data registration as well as the additional inclusion of objective analysis results.

Freie Schlagworte: Image registration, Magnetic resonance imaging (MRI), Data visualization
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
20 Fachbereich Informatik > Fraunhofer IGD
20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing
Hinterlegungsdatum: 08 Okt 2024 09:15
Letzte Änderung: 08 Okt 2024 09:15
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