An Open-Source Software Approach to Multimodal Medical Imaging: Combination of Anatomical and Thermal 3D Models

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

Lopes, C (Author) FEUP; Vilaça, A (Author) Other; Santos, C (Author) Other; Joaquim Mendes (Author) FEUP

Conference proceedings International

Title: CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2023, Porto, Portugal, November 8-10, 2023.

Pages: 122-129

2023 International Conference on ENTERprise Information Systems, CENTERIS 2023 - International Conference on Project MANagement, ProjMAN 2023 - International Conference on Health and Social Care Information Systems and Technologies, HCist 2023

Porto, 8 November 2023 through 10 November 2023

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-011-390

DOI: 10.1016/j.procs.2024.06.154

Abstract (EN): As the three-dimensional (3D) reconstruction and visualisation of medical imaging systems, such as computed tomography (CT) and magnetic resonance imaging (MRI), become common approaches for assisting physicians with a visual representation of anatomy structures, a novelty approach adding functional elements of the human body started being explored. So, medical thermography has been used as a complementary imaging technique for diagnosis and monitoring of pathologies, based on the identification of surface temperature changes. Therefore, this paper presents a new open-source software approach to multimodal medical imaging. The proposed methodology involves the 3D reconstruction of an anatomical model and thermal model, being the latter based on a Structure from Motion (SfM) approach, and the combination of both models, providing a complete 3D multimodal model that contains inner information regarding the anatomy of the body, and outer physiological information. It showed efficient results regarding the visualisation of the multimodal model in a single coordinate system in different views (axial, coronal, and sagittal), allowing it to be inspected by physicians, whilst improving pathology assessment. The 3D multimodal models have potential to be expanded to medical applications, such as diagnosis, surgery, and follow-up care, whilst being cost effective by resorting to available open-source software. © 2024 The Author(s).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7