Generating a Minimal Set of Templates for the Hippocampal Region in MR Neuroimages. Issue 3 (15th November 2012)

• Record Type: Journal Article
• Authors: Cataldo, R.; Agrusti, A.; De Nunzio, G.; Carlà, A.; De Mitri, I.; Favetta, M.; Quarta, M.; Monno, L.; Rei, L.; Fiorina, E.
• Is Part Of: Journal of neuroimaging. Volume 23:Issue 3(2013)
• Page Start: 473
• Page End: 483
• Publication Date: 2012-11-15
• Subjects: Diagnostic imaging -- Periodicals; Nervous system -- Diseases -- Diagnosis -- Periodicals; Imagerie pour le diagnostic -- Périodiques; Système nerveux -- Maladies -- Diagnostic -- Périodiques; Imagerie médicale; Neuroimagerie; Neurologie; Système nerveux; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.804754
• DOI: 10.1111/j.1552-6569.2012.00713.x
• Languages: English
• ISSNs: 1051-2284

Abstract

<abstract abstract-type="main" xml:lang="en"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="abs1-1" sec-type="section"> <title>ABSTRACT</title> </sec> <sec id="abs1-2" sec-type="section"> <title>OBJECTIVES</title> <p>We detail a procedure for generating a set of templates for the hippocampal region in magnetic resonance (MR) images, representative of the clinical conditions of the population under investigation.</p> </sec> <sec id="abs1-3" sec-type="section"> <title>METHODS</title> <p>The first step is robust standardization of the intensity scale of brain MR images, belonging to patients with different degrees of neuropathology (Alzheimer's disease). So similar tissues have similar intensities, even across images coming from different sources. After the automatic extraction of the hippocampal region from a large dataset of images, we address template generation, choosing by clusterization methods a small number of the extracted regions.</p> </sec> <sec id="abs1-4" sec-type="section"> <title>RESULTS</title> <p>We assess that template generation is largely independent on the clusterization method and on the number and the clinical condition of the patients. The templates are chosen as the most representative images in a population. The estimation of the "minimum" number of templates for the hippocampal region can be proposed, using a metric based on the geometrical position of the extracted regions.</p> </sec> <sec id="abs1-5" sec-type="section"> <title>CONCLUSIONS</title> <p>This study describes a simple and easily reproducible procedure to generate templates for the hippocampal region. It can be generalized and applied to other brain regions, which may be relevant for neuroimaging studies.</p> </sec> </abstract>