Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Intensity-Based Nonoverlapping Area Registration Supporting "Drop-Outs" in Terms of Model-Based Radiostereometric Analysis

O. Klima, P. Novobilsky, R. Madeja, D. Barina, A. Chromy, M. Spanel, P. Zemcik,

. 2018 ; 2018 (-) : 8538125. [pub] 20180503

Jazyk angličtina Země Velká Británie

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc19045431

A model-based radiostereometric analysis (MBRSA) is a method for precise measurement of prosthesis migration, which does not require marking the implant with tantalum beads. Instead, the prosthesis pose is typically recovered using a feature-based 2D-3D registration of its virtual model into a stereo pair of radiographs. In this study, we evaluate a novel intensity-based formulation of previously published nonoverlapping area (NOA) approach. The registration is capable of performing with both binary radiographic segmentations and nonsegmented X-ray images. In contrast with the feature-based version, it is capable of dealing with unreliable parts of prosthesis. As the straightforward formulation allows efficient acceleration using modern graphics adapters, it is possible to involve precise high-poly virtual models. Moreover, in case of binary segmentations, the nonoverlapping area is simply interpretable and useful for indicating the accuracy of the registration outcome. In silico and phantom evaluations were performed using a cementless Zweymüller femoral stem and its reverse engineered (RE) model. For initial pose estimates with difference from the ground-truth limited to ±4 mm and ±4°, respectively, the mean absolute translational error was not higher than 0.042 ± 0.035 mm. The error in rotation around the proximodistal axis was 0.181 ± 0.265°, and the error for the remaining axes was not higher than 0.035 ± 0.037°.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc19045431
003      
CZ-PrNML
005      
20200113082216.0
007      
ta
008      
200109s2018 xxk f 000 0|eng||
009      
AR
024    7_
$a 10.1155/2018/8538125 $2 doi
035    __
$a (PubMed)29854367
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxk
100    1_
$a Klima, Ondrej $u IT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic.
245    10
$a Intensity-Based Nonoverlapping Area Registration Supporting "Drop-Outs" in Terms of Model-Based Radiostereometric Analysis / $c O. Klima, P. Novobilsky, R. Madeja, D. Barina, A. Chromy, M. Spanel, P. Zemcik,
520    9_
$a A model-based radiostereometric analysis (MBRSA) is a method for precise measurement of prosthesis migration, which does not require marking the implant with tantalum beads. Instead, the prosthesis pose is typically recovered using a feature-based 2D-3D registration of its virtual model into a stereo pair of radiographs. In this study, we evaluate a novel intensity-based formulation of previously published nonoverlapping area (NOA) approach. The registration is capable of performing with both binary radiographic segmentations and nonsegmented X-ray images. In contrast with the feature-based version, it is capable of dealing with unreliable parts of prosthesis. As the straightforward formulation allows efficient acceleration using modern graphics adapters, it is possible to involve precise high-poly virtual models. Moreover, in case of binary segmentations, the nonoverlapping area is simply interpretable and useful for indicating the accuracy of the registration outcome. In silico and phantom evaluations were performed using a cementless Zweymüller femoral stem and its reverse engineered (RE) model. For initial pose estimates with difference from the ground-truth limited to ±4 mm and ±4°, respectively, the mean absolute translational error was not higher than 0.042 ± 0.035 mm. The error in rotation around the proximodistal axis was 0.181 ± 0.265°, and the error for the remaining axes was not higher than 0.035 ± 0.037°.
650    _2
$a analýza selhání vybavení $x metody $7 D019544
650    _2
$a femur $x diagnostické zobrazování $7 D005269
650    _2
$a kyčelní protézy $7 D006622
650    _2
$a lidé $7 D006801
650    _2
$a počítačové zpracování obrazu $x metody $7 D007091
650    _2
$a fantomy radiodiagnostické $7 D019047
650    _2
$a radiostereometrická analýza $x metody $7 D059869
650    _2
$a tantal $7 D013635
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Novobilsky, Petr $u Radiology Institute, University Hospital in Ostrava, 17 Listopadu 1790, 708 52 Ostrava, Czech Republic.
700    1_
$a Madeja, Roman $u Trauma Center, University Hospital in Ostrava, 17 Listopadu 1790, 708 52 Ostrava, Czech Republic.
700    1_
$a Barina, David $u IT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic.
700    1_
$a Chromy, Adam $u Department of Control and Instrumentation, Brno University of Technology, Technicka 3082/12, 616 00 Brno, Czech Republic.
700    1_
$a Spanel, Michal $u IT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic.
700    1_
$a Zemcik, Pavel $u IT4Innovations Centre of Excellence, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic.
773    0_
$w MED00196657 $t Journal of healthcare engineering $x 2040-2295 $g Roč. 2018, č. - (2018), s. 8538125
856    41
$u https://pubmed.ncbi.nlm.nih.gov/29854367 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20200109 $b ABA008
991    __
$a 20200113082548 $b ABA008
999    __
$a ok $b bmc $g 1483700 $s 1084104
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2018 $b 2018 $c - $d 8538125 $e 20180503 $i 2040-2295 $m Journal of healthcare engineering $n J Healthc Eng $x MED00196657
LZP    __
$a Pubmed-20200109

Najít záznam

Citační ukazatele

Možnosti archivace