A Study on Performace of Levenberg-Marquardt and CMA-ES Optimization Methods for Atlas-based 2D/3D Reconstruction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU122420" target="_blank" >RIV/00216305:26230/16:PU122420 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.ifacol.2016.12.021" target="_blank" >http://dx.doi.org/10.1016/j.ifacol.2016.12.021</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2016.12.021" target="_blank" >10.1016/j.ifacol.2016.12.021</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Study on Performace of Levenberg-Marquardt and CMA-ES Optimization Methods for Atlas-based 2D/3D Reconstruction

Popis výsledku v původním jazyce

In this study, we compare the performance of our previously proposed deformable 2D/3D registration approach based on the Levenberg-Marquardt optimization with methods exploiting the CMA and CMSA evolution strategies. The aim of the investigated registration is a reconstruction of a patient-specic 3D bone model from a small set of plain 2D X-ray images, which is achieved by fitting a deformable bone atlas onto the X-ray images. The comparison is focused on the robustness and the speed of the evaluated methods. The results were obtained using a large-scale data set of synthetic X-ray images. We show our method is several times faster in comparison with the approaches based on evolution strategies, while the robustness of the reconstruction is preserved. To speed-up the reconstruction process, certain parts of the registration pipeline are accelerated using graphics hardware. The median error of our proposed method was 1.12mm and the median reconstruction time was 7.2s. The median time reached by the CMA-ES and CMSA-ES methods was 48.5s and 138.5s respectively.

Název v anglickém jazyce

A Study on Performace of Levenberg-Marquardt and CMA-ES Optimization Methods for Atlas-based 2D/3D Reconstruction

Popis výsledku anglicky

In this study, we compare the performance of our previously proposed deformable 2D/3D registration approach based on the Levenberg-Marquardt optimization with methods exploiting the CMA and CMSA evolution strategies. The aim of the investigated registration is a reconstruction of a patient-specic 3D bone model from a small set of plain 2D X-ray images, which is achieved by fitting a deformable bone atlas onto the X-ray images. The comparison is focused on the robustness and the speed of the evaluated methods. The results were obtained using a large-scale data set of synthetic X-ray images. We show our method is several times faster in comparison with the approaches based on evolution strategies, while the robustness of the reconstruction is preserved. To speed-up the reconstruction process, certain parts of the registration pipeline are accelerated using graphics hardware. The median error of our proposed method was 1.12mm and the median reconstruction time was 7.2s. The median time reached by the CMA-ES and CMSA-ES methods was 48.5s and 138.5s respectively.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

14th IFAC Conference on Programmable Devices and Embedded Systems PDES 2016 Brno, Czech Republic, 5-7 October 2016

ISBN

—

ISSN

2405-8963

e-ISSN

—

Počet stran výsledku

6

Strana od-do

121-126

Název nakladatele

Elsevier Science

Místo vydání

Brno / Lednice

Místo konání akce

Brno/Lednice

Datum konání akce

5. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000401255800021