Literature DB >> 29113669

Target Registration Error minimization involving deformable organs using elastic body splines and Particle Swarm Optimization approach.

Dominik Spinczyk1, Sylwester Fabian2.   

Abstract

In minimally invasive surgery one of the main challenges is the precise location of the target during the intervention. The aim of the study is to present usability of elastic body splines (EBS) to minimize TRE error. The method to find the desired EBS parameters values is presented with usage of Particle Swarm optimization approach. This ability of TRE minimization has been achieved for the respiratory phases corresponding to minimum FRE for abdominal (especially liver) surgery. The proposed methodology was verified during experiments conducted on 21 patients diagnosed with liver tumors. This method has been developed to perform operations in real-time on a standard workstation.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 29113669     DOI: 10.1016/j.suronc.2017.09.005

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  1 in total

1.  Automatic liver segmentation in computed tomography using general-purpose shape modeling methods.

Authors:  Dominik Spinczyk; Agata Krasoń
Journal:  Biomed Eng Online       Date:  2018-05-29       Impact factor: 2.819

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.