Abstract

Recently, many complex medical exams require correlating the information from magnetic resonance (MR) and computed tomography (CT) images in order to obtain a more accurate diagnostics. This is rather complex when the images under test have very different noise level. In this paper, a technique to compare the quality of the CT and MR images is introduced. The proposed technique is useful to assess the effect of different noise distribution on medical images and to equalize the examinations produced by different imagining technologies in terms of clearness of images and sharpness of contours. The authors, after examining the statistical properties of the noise affecting CT and MR images, analyze its effect on final image quality. Then, a methodology to compare the mean square errors relevant to CT and MR images is proposed. The study was carried out using 148 images obtained from patients under neuropsychological test. The experimental tests have been performed by corrupting the original data with different noise levels.

Autore Pugliese

• Andria Gregorio , Attivissimo Filippo , Lanzolla Anna Maria Lucia

Tutti gli autori

• G. Andria , Attivissimo F , Lanzolla A. M. L.

Titolo volume/Rivista

MEASUREMENT

Anno di pubblicazione

2013

ISSN

0263-2241

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

15

Ultimo Aggiornamento Citazioni

2017-04-23 03:20:56

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile