Share Email Print
cover

Proceedings Paper

An MRI myocarditis index defined by a PCA-based object recognition algorithm
Author(s): Rocco Romano; Igino De Giorgi; Fausto Acernese; Gerardo Giordano; Antonio Orientale; Giovanni Babino; Fabrizio Barone
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 12 March 2015
PDF: 6 pages
Proc. SPIE 9401, Computational Imaging XIII, 94010K (12 March 2015); doi: 10.1117/12.2082547
Show Author Affiliations
Rocco Romano, Univ. degli Studi di Salerno (Italy)
Igino De Giorgi, Azienda Ospedaliera Univ. San Giovanni di Dio e Ruggi D'Aragona (Italy)
Fausto Acernese, Univ. degli Studi di Salerno (Italy)
Gerardo Giordano, Univ. degli Studi di Salerno (Italy)
Antonio Orientale, Azienda Ospedaliera Univ. San Giovanni di Dio e Ruggi D'Aragona (Italy)
Giovanni Babino, Azienda Ospedaliera Univ. San Giovanni di Dio e Ruggi D'Aragona (Italy)
Fabrizio Barone, Univ. degli Studi di Salerno (Italy)


Published in SPIE Proceedings Vol. 9401:
Computational Imaging XIII
Charles A. Bouman; Ken D. Sauer, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray