{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T01:56:54Z","timestamp":1772243814044,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>Imaging of dopamine transporters (DaT) has been introduced as a valuable tool to evaluate patients with several neuropsychiatrie disorders, such as Parkinson&amp;rsquo;s disease (PD). Over the last decade, several computer applications have been developed in order to facilitate the exploration of DaT images to clinicians, however they require a high interaction with the user to delimit regions of interest (ROIs) and to obtain a diagnosis. In this paper we show a full automatic computed aided diagnosis (CAD) system for Parkinson&amp;rsquo;s disease. We use a Partial Least Square scheme to decompose DaT images into scores and loading. Then, the scores with highest Fisher Discriminant Ratio are used as feature for a Support Vector Machine classifier that determines the state (normal of pathological) of a given DaT image. The evaluation of the system using a database with 178 images from controls and PD patients has produced accuracy rates of nearly 93%.<\/jats:p>","DOI":"10.3233\/978-1-61499-105-2-2241","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:26:53Z","timestamp":1740115613000},"source":"Crossref","is-referenced-by-count":2,"title":["Automatic differentiation between controls and Parkinson&amp;rsquo;s disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio"],"prefix":"10.3233","author":[{"family":"Segovia F.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"G&oacute;rriz J.M.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Ram&iacute;rez J.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Chaves R.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"&Aacute;lvarez I.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Knowledge-Based and Intelligent Information and Engineering Systems"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:18:15Z","timestamp":1740118695000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=243&spage=2241"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-105-2-2241","relation":{"is-cited-by":[{"id-type":"doi","id":"10.3389\/fninf.2019.00048","asserted-by":"object"}]},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2012]]}}}