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contributor authorLaura Gastaldi
contributor authorClaudio Bernucci
contributor authorStefano Pastorelli
contributor authorMarco Mannino
contributor authorAlessandro Battezzato
date accessioned2017-05-09T00:39:57Z
date available2017-05-09T00:39:57Z
date copyrightDecember, 2010
date issued2010
identifier issn1932-6181
identifier otherJMDOA4-28014#041008_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/144377
description abstractImage-guided neurosurgery allows surgeons to navigate and localize lesion through the patient’s cranium with a 3D image guidance. The model of the head is reconstructed using preoperative computed tomography or magnetic resonance images and real and virtual spaces are aligned by means of fiducial markers placed on the patient. In this paper, a new method for the optimal placement of the fiducial markers in order to reduce misalignment is presented. Using routine diagnostic images, a customized 3D model of the patient’s cranium is reconstructed. A genetic algorithm calculates optimal positions of the marker in order to minimize the target registration error. The fiducial set is shown to the surgeons on the 3D model to help him/her in placement of them.
publisherThe American Society of Mechanical Engineers (ASME)
titleOptimal Fiducial Configuration in Image-Guided Neurosurgery Using a Genetic Algorithm
typeJournal Paper
journal volume4
journal issue4
journal titleJournal of Medical Devices
identifier doi10.1115/1.4002853
journal fristpage41008
identifier eissn1932-619X
keywordsGenetic algorithms
keywordsProject tasks AND Errors
treeJournal of Medical Devices:;2010:;volume( 004 ):;issue: 004
contenttypeFulltext


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