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  4. Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging
 
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2023
Conference Paper
Title

Automated Hand Joint Classification of Psoriatic Arthritis Patients Using Routinely Acquired Near Infrared Fluorescence Optical Imaging

Abstract
Near infrared fluorescence optical imaging (NIR-FOI) is a relatively new imaging modality to diagnose arthritis in the hands. The acquired data has two spatial dimensions and one temporal dimension, which visualizes the time dependent distribution of an administered color agent. In accordance with previous work, we hypothesize that the distribution process allows a joint-wise classification into inflammatory affected and unaffected. In this work, we present the first approach to objectively classify hand joint NIR-FOI image stacks by designing, training, and testing a neural network. Previously presented model architectures for spatio-temporal classification do not yield satisfying results when trained on NIR-FOI data. A recall value of 0.812 of the over- and a recall value of 0.652 of the underrepresented class is achieved, the model’s robustness tested against small variations and its attention visualized in activation maps. Even though these results leave room for further improvement, they also indicate, that the model architecture can capture the latent features of the data. We are confident, that more available data will lead to a robust classification model and can support medical doctors in using NIR-FOI as a diagnostic tool for PsA.
Author(s)
Zerweck, Lukas
Fraunhofer-Institut für Translationale Medizin und Pharmakologie ITMP  
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Köhm, Michaela
Fraunhofer-Institut für Translationale Medizin und Pharmakologie ITMP  
Mainwork
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging  
Project(s)
Innovative Medicines Initiative 2 Joint Undertaking (JU)
Funder
European Commission  
Conference
International Workshop on Clinical Image-Based Procedures 2023  
Open Access
File(s)
Download (1.11 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1007/978-3-031-45249-9_1
10.24406/h-452512
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Fraunhofer-Institut für Translationale Medizin und Pharmakologie ITMP  
Keyword(s)
  • Branche: Healthcare

  • Research Line: Computer vision (CV)

  • Research Line: Machine learning (ML)

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • LTA: Generation, capture, processing, and output of images and 3D models

  • Infrared light

  • Spatio-Temporal Data

  • Image classification

  • Neural Networks

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