Year: 2019 Type of Publication: In Proceedings Keywords: cerebral RMN hit-or-miss skeletonization isolated foreground pixel stroke Volume: 19 SGEM Book title: 19th International Multidisciplinary Scientific GeoConference SGEM 2019 Book number: 6.3 SGEM Series: International Multidisciplinary Scientific GeoConference-SGEM Pages: 229-236 Publisher address: 51 Alexander Malinov blvd, Sofia, 1712, Bulgaria SGEM supporters: Bulgarian Acad Sci Acad Sci Czech Republ Latvian Acad Sci Polish Acad Sci Russian Acad Sci Serbian Acad Sci & Arts Slovak Acad Sci Natl Acad Sci Ukraine Natl Acad Sci Armenia Sci Council Japan World Acad Sci European Acad Sci, Arts & Letters Ac Period: 9 - 11 December, 2019 ISBN: 97-99-7 ISSN: 1314-2704 Conference: 19th International Multidisciplinary Scientific GeoConference SGEM 2019, 9 - 11 December, 2019 DOI: 10.5593/sgem2019V/6.3/S08. The higher numbers of isolated foreground pixel determined using hit-or-miss transform indicate this method as a promising approach for a simple and quick evaluation of stroke. The mean ? SD values of isolated foreground pixels for stroke patients systematically exceed the corresponding values for healthy patients. We have tested the proposed algorithms using two cerebral image datasets (healthy and acute stroke patients). There is growing interest in determining optimal resuscitation of children with sTBI that accounts for the need to maintain cerebral perfusion pressures and. pixels satisfying a neighborhood configuration that corresponds to an isolated foreground pixel) were extracted using hit-or-miss and skeleton transformations. Brain MRI image was divided into eight equal sectors. Un RMN cerebral sau un IRM cerebral produce imagini detaliate ale creierului i ale trunchiului cerebral, reprezentnd o soluie pentru a indica medicului specialist probleme precum sngerarea, umflarea, probleme cu modul n care s-a dezvoltat creierul, tumori, infecii, inflamaii, leziuni cauzate de un accident vascular cerebral sau probleme cu vasele de snge. This study uses the isolated foreground pixels in MRI images as a feature able to discern a stroke patient by a healthy one. Computer aided diagnosis CAD is a valuable tool to improve the ability of an average radiologist to diagnose the subtle lesions. USING GREY-SCALE HIT-OR-MISS TRANSFORM FOR DETECTION OF ISOLATED FOREGROUND PIXELS IN CEREBRAL RMN DATASETSĪbstract: MRI images contain a lot of subtle information related to various lesions which are difficult to be picked up by radiologists. Focare periventriculare si subcorticale in substanta alba bilateral ce pot fi caracteristice pentru focare de demielinizare pe interpretarea RMN cerebral.
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