A Report on work: Cardiac MRI CBIR for pathologies detection

Michno, Tomasz; Jelonek, Michał

A Report on work: Cardiac MRI CBIR for pathologies detection

Abstract

The early detection of pathologies in the cardiovascular system is very important. One of the most accurate imaging examinations of human tissues is magnetic resonance imaging (MRI), which is a very precise yet non-invasive test. In order to process MRI images to detect pathologies, one of the most promising methods is Content Based Image Retrieval (CBIR). This paper presents a report on the research on that topic as a result of the Miniatura 5 Grant. The main contributions of the paper are: a review of the state-of-the-art methods, a selection of the most promising image features that may be used to identify pathologies, a description of the proposed system for preparing suggestions for doctors, which takes into consideration also methods for presenting the results, which are most often omitted in other researches. The next step will be incorporating full 3D MRI information into the pipeline.

Keywords

CBIR Medical Image Retrieval pathology detection MRI Cardiac Magnetic Resonance Imaging

Citation

Michno T. and Jelonek M. (2023). A Report on Work: Cardiac MRI CBIR for Pathologies Detetion. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 667-674. DOI: 10.5220/0012006800003467

URI

https://depot.ceon.pl/handle/123456789/24203

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Materiały konferencyjne / Conference papers

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