Artificial intelligence applications in medical thermography using PACS and DICOM file formats

Francisco Javier González Contreras; Robert G. Schwartz

doi:10.1117/12.2623624

27 May 2022 Artificial intelligence applications in medical thermography using PACS and DICOM file formats

Francisco Javier González Contreras, Robert G. Schwartz

Proceedings Volume 12107, Infrared Technology and Applications XLVIII; 121071P (2022) https://doi.org/10.1117/12.2623624
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Infrared thermography is a non-invasive technique that records temperature patterns of the body which can be used as an adjunct method for the detection of diverse medical pathologies. One limitation of medical thermology is incomplete coherence to a standardized interpretation procedure which can lead to disparity of results given by different interpreters. Artificial Intelligence and deep learning models have been used for pattern recognition and classification of objects and have been adopted elsewhere as an adjunct methodology in medical imaging diagnosis. To perform deep learning algorithms a large database of infrared thermographic images must be put together. These images likely will come from different clinics, use different imaging systems, and they are saved in different proprietary formats depending on the imager used. To circumvent these difficulties a standard format for saving medical thermology studies must be implemented. In this talk the efforts of the American Academy of Thermology (AAT) are presented to standardize a Digital Imaging and Communication in Medicine (DICOM) file format for medical thermology. Also, efforts to implement a Picture Archiving and Communication System (PACS) Software to handle large number of images for thermography big data applications will be presented. Artificial Intelligence applications towards adjunct detection of breast pathologies using infrared thermography will be discussed.

Conference Presentation

Citation Download Citation

Francisco Javier González Contreras and Robert G. Schwartz "Artificial intelligence applications in medical thermography using PACS and DICOM file formats", Proc. SPIE 12107, Infrared Technology and Applications XLVIII, 121071P (27 May 2022); https://doi.org/10.1117/12.2623624

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