HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Venot, A. Articles by Roucayrol, J.-C. Search for Related Content PubMed PubMed Citation Articles by Venot, A. Articles by Roucayrol, J.-C.

Automated Comparison of Scintigraphic Images

FR Synthèse et Analyse d'Images Médicales, Hôpital Cochin and INSERM U194, Paris
Laboratoire de Biophysique, Faculté de Médecine and Institut Jean Godinot, Reims, France

Correspondence: For reprints contact: A. Venot, MD, Radioisotopes, Hôpital Cochin, 27 rue du Faubourg Saint Jacques, 75674 Paris Cedex 14, France.

ABSTRACT

New algorithms for automated comparison of scintigraphic images have been developed and are described here. The first step presented here is the registration of the images, performed by optimizing, with respect to the registration parameters (two translational shifts, one angle of rotation, the two parameters of a linear transformation of the gray levels), the stochastic sign change (SSC) criterion. The optimization of this criterion is demonstrated to be efficiently performed using the adaptative random search strategy; a more limited but less time-consuming method is also presented. The second step described is the point-by-point comparison of the registered images. The pixel-by-pixel application of Poisson variable statistical tests permits the generation of the significant image differences. From such images it is possible to detect modifications which escape visual inspection. Examples of applications are given in controlled and routine conditions. These algorithms are useful for the processing of many investigations and are proposed for implementation on all nuclear medicine data processing systems.

This article has been cited by other articles:

				C. Perault, D. Papathanassiou, H. Wampach, P. Vera, A. Kaminska, C. Chiron, P. Peruzzi, and J.-C. Liehn Computer-Aided Intrapatient Comparison of Brain SPECT Images: The Gray-Level Normalization Issue Applied to Children with Epilepsy J. Nucl. Med., June 1, 2002; 43(6): 715 - 724. [Abstract] [Full Text] [PDF]