An MRI myocarditis index defined by a PCA-based object recognition algorithm

Rocco Romano; Igino De Giorgi; Fausto Acernese; Gerardo Giordano; Antonio Orientale; Giovanni Babino; Fabrizio Barone

doi:10.1117/12.2082547

12 March 2015 An MRI myocarditis index defined by a PCA-based object recognition algorithm

Rocco Romano, Igino De Giorgi, Fausto Acernese, Gerardo Giordano, Antonio Orientale, Giovanni Babino, Fabrizio Barone

Proceedings Volume 9401, Computational Imaging XIII; 94010K (2015) https://doi.org/10.1117/12.2082547
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

Magnetic Resonance Imaging (MRI) has shown promising results in diagnosing myocarditis that can be qualitatively observed as enhanced pixels on the cardiac muscles images. In this paper, a myocarditis index, defined as the ratio between enhanced pixels, representing an inflammation, and the total pixels of myocardial muscle, is presented. In order to recognize and quantify enhanced pixels, a PCA-based recognition algorithm is used. The algorithm, implemented in Matlab, was tested by examining a group of 10 patients, referred to MRI with presumptive, clinical diagnosis of myocarditis. To assess intra- and interobserver variability, two observers blindly analyzed data related to the 10 patients by delimiting myocardial region and selecting enhanced pixels. After 5 days the same observers redid the analysis. The obtained myocarditis indexes were compared to an ordinal variable (values in the 1 - 5 range) that represented the blind assessment of myocarditis seriousness given by two radiologists on the base of the patient case histories. Results show that there is a significant correlation (P < 0:001; r = 0:94) between myocarditis indexes and the radiologists' clinical judgments. Furthermore, a good intraobserver and interobserver reproducibility was obtained.

Citation Download Citation

Rocco Romano, Igino De Giorgi, Fausto Acernese, Gerardo Giordano, Antonio Orientale, Giovanni Babino, and Fabrizio Barone "An MRI myocarditis index defined by a PCA-based object recognition algorithm", Proc. SPIE 9401, Computational Imaging XIII, 94010K (12 March 2015); https://doi.org/10.1117/12.2082547

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