iconicon Uproszczony widok
 

Optimization Approach for Image Forming in Ultrasound Transmission Tomography (UTT): Real Data Case

cris.lastimport.scopus2024-09-17T01:31:28Z
dc.abstract.enEffective image reconstruction algorithm that could be used in Ultrasound Transmission Tomography (UTT) is presented in this paper. The reconstruction process was bringing over to the solution of the inverse problem which was converted to the optimization task. The optimization parameters were selected as follows: a position vector defining the position of the obstacle centre (the length of the position vector and its angle) and the internal radius of the test objects (obstacles). In this case, sixteen trial objects were selected, which gives 48th optimization parameters (three parameters for each trial object). During the optimization process some of them could diminish to zero; the others would change the position and dimensions in such a way that the calculated signal become as close as possible to the measured one. The objective function and linear inequality constrain were defined. The optimization process is very sensitive how far away from the optimal solution the starting point was defined. That is why three cases of the selection of the starting point to the optimization process were considered.
dc.affiliationTransportu i Informatyki
dc.contributor.authorTomasz Rymarczyk
dc.contributor.authorJan Sikora
dc.date.accessioned2024-05-15T12:55:50Z
dc.date.available2024-05-15T12:55:50Z
dc.date.issued2019
dc.identifier.doi10.1155/2019/9126136
dc.identifier.issn1024-123X
dc.identifier.issn1563-5147
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/326
dc.languageen
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofMathematical Problems in Engineering
dc.rightsCC-BY
dc.subject.enultrasound
dc.subject.entomography
dc.subject.enimage forming
dc.titleOptimization Approach for Image Forming in Ultrasound Transmission Tomography (UTT): Real Data Case
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.volume2019