• Something wrong with this record ?

Standardized evaluation methodology and reference database for evaluating IVUS image segmentation

S. Balocco, C. Gatta, F. Ciompi, A. Wahle, P. Radeva, S. Carlier, G. Unal, E. Sanidas, J. Mauri, X. Carillo, T. Kovarnik, CW. Wang, HC. Chen, TP. Exarchos, DI. Fotiadis, F. Destrempes, G. Cloutier, O. Pujol, M. Alberti, EG. Mendizabal-Ruiz, M....

. 2014 ; 38 (2) : 70-90.

Language English Country United States

Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S.

Persistent link   https://www.medvik.cz/link/bmc15008569

This paper describes an evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been introduced at the MICCAI 2011 Computing and Visualization for (Intra)Vascular Imaging (CVII) workshop, comparing the results of eight teams that participated. We describe the available data-base comprising of multi-center, multi-vendor and multi-frequency IVUS datasets, their acquisition, the creation of the reference standard and the evaluation measures. The approaches address segmentation of the lumen, the media, or both borders; semi- or fully-automatic operation; and 2-D vs. 3-D methodology. Three performance measures for quantitative analysis have been proposed. The results of the evaluation indicate that segmentation of the vessel lumen and media is possible with an accuracy that is comparable to manual annotation when semi-automatic methods are used, as well as encouraging results can be obtained also in case of fully-automatic segmentation. The analysis performed in this paper also highlights the challenges in IVUS segmentation that remains to be solved.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc15008569
003      
CZ-PrNML
005      
20150316121449.0
007      
ta
008      
150306s2014 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.compmedimag.2013.07.001 $2 doi
035    __
$a (PubMed)24012215
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Balocco, Simone $u Computer Vision Center, Bellaterra, Spain; Dept. Matemàtica Aplicada i Anàlisi, Universitat de Barcelona, Barcelona, Spain. Electronic address: balocco.simone@gmail.com.
245    10
$a Standardized evaluation methodology and reference database for evaluating IVUS image segmentation / $c S. Balocco, C. Gatta, F. Ciompi, A. Wahle, P. Radeva, S. Carlier, G. Unal, E. Sanidas, J. Mauri, X. Carillo, T. Kovarnik, CW. Wang, HC. Chen, TP. Exarchos, DI. Fotiadis, F. Destrempes, G. Cloutier, O. Pujol, M. Alberti, EG. Mendizabal-Ruiz, M. Rivera, T. Aksoy, RW. Downe, IA. Kakadiaris,
520    9_
$a This paper describes an evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been introduced at the MICCAI 2011 Computing and Visualization for (Intra)Vascular Imaging (CVII) workshop, comparing the results of eight teams that participated. We describe the available data-base comprising of multi-center, multi-vendor and multi-frequency IVUS datasets, their acquisition, the creation of the reference standard and the evaluation measures. The approaches address segmentation of the lumen, the media, or both borders; semi- or fully-automatic operation; and 2-D vs. 3-D methodology. Three performance measures for quantitative analysis have been proposed. The results of the evaluation indicate that segmentation of the vessel lumen and media is possible with an accuracy that is comparable to manual annotation when semi-automatic methods are used, as well as encouraging results can be obtained also in case of fully-automatic segmentation. The analysis performed in this paper also highlights the challenges in IVUS segmentation that remains to be solved.
650    _2
$a nemoci koronárních tepen $x ultrasonografie $7 D003324
650    _2
$a databáze faktografické $x normy $7 D016208
650    _2
$a lidé $7 D006801
650    _2
$a interpretace obrazu počítačem $x metody $x normy $7 D007090
650    _2
$a internacionalita $7 D038622
650    12
$a směrnice pro lékařskou praxi jako téma $7 D017410
650    _2
$a referenční hodnoty $7 D012016
650    _2
$a reprodukovatelnost výsledků $7 D015203
650    _2
$a senzitivita a specificita $7 D012680
650    _2
$a intervenční ultrasonografie $x metody $x normy $7 D018084
655    _2
$a časopisecké články $7 D016428
655    _2
$a Research Support, N.I.H., Extramural $7 D052061
655    _2
$a práce podpořená grantem $7 D013485
655    _2
$a Research Support, U.S. Gov't, Non-P.H.S. $7 D013486
700    1_
$a Gatta, Carlo $u Computer Vision Center, Bellaterra, Spain.
700    1_
$a Ciompi, Francesco $u Computer Vision Center, Bellaterra, Spain; Dept. Matemàtica Aplicada i Anàlisi, Universitat de Barcelona, Barcelona, Spain.
700    1_
$a Wahle, Andreas $u Department of Electrical & Computer Engineering, The University of Iowa, Iowa City, USA.
700    1_
$a Radeva, Petia $u Computer Vision Center, Bellaterra, Spain; Dept. Matemàtica Aplicada i Anàlisi, Universitat de Barcelona, Barcelona, Spain.
700    1_
$a Carlier, Stephane $u UZ Brussel, Department of Cardiology, Brussels, Belgium.
700    1_
$a Unal, Gozde $u Faculty of Engineering and Natural Sciences, Sabanci University, Turkey.
700    1_
$a Sanidas, Elias $u Cardiovascular Research Foundation, New York, USA.
700    1_
$a Mauri, Josepa $u Hospital Universitari "Germans Trias i Pujol", Badalona, Spain.
700    1_
$a Carillo, Xavier $u Hospital Universitari "Germans Trias i Pujol", Badalona, Spain.
700    1_
$a Kovarnik, Tomas $u 2nd Department of Internal Medicine, Charles University, Prague, Czech Republic.
700    1_
$a Wang, Ching-Wei $u National Taiwan University of Science and Technology, Taiwan.
700    1_
$a Chen, Hsiang-Chou $u National Taiwan University of Science and Technology, Taiwan.
700    1_
$a Exarchos, Themis P $u Institute of Molecular Biology and Biotechnology, Department of Biomedical Research, Foundation for Research and Technology Hellas, University of Ioannina, Ioannina, Greece.
700    1_
$a Fotiadis, Dimitrios I $u Institute of Molecular Biology and Biotechnology, Department of Biomedical Research, Foundation for Research and Technology Hellas, University of Ioannina, Ioannina, Greece.
700    1_
$a Destrempes, François $u Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montreal, Canada.
700    1_
$a Cloutier, Guy $u Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center (CRCHUM), Montreal, Canada; Department of Radiology, Radio-Oncology and Nuclear Medicine, Institute of Biomedical Engineering, University of Montreal, Montreal, Canada.
700    1_
$a Pujol, Oriol $u Dept. Matemàtica Aplicada i Anàlisi, Universitat de Barcelona, Barcelona, Spain.
700    1_
$a Alberti, Marina $u Computer Vision Center, Bellaterra, Spain; Dept. Matemàtica Aplicada i Anàlisi, Universitat de Barcelona, Barcelona, Spain. $7 gn_A_00003477
700    1_
$a Mendizabal-Ruiz, E Gerardo $u Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX, USA.
700    1_
$a Rivera, Mariano $u Centro de Investigacion en Matematicas, Guanajuato, Mexico.
700    1_
$a Aksoy, Timur $u Faculty of Engineering and Natural Sciences, Sabanci University, Turkey. $7 gn_A_00003082
700    1_
$a Downe, Richard W $u Department of Electrical & Computer Engineering, The University of Iowa, Iowa City, USA.
700    1_
$a Kakadiaris, Ioannis A $u Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX, USA.
773    0_
$w MED00001216 $t Computerized medical imaging and graphics the official journal of the Computerized Medical Imaging Society $x 1879-0771 $g Roč. 38, č. 2 (2014), s. 70-90
856    41
$u https://pubmed.ncbi.nlm.nih.gov/24012215 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20150306 $b ABA008
991    __
$a 20150316121731 $b ABA008
999    __
$a ok $b bmc $g 1065842 $s 891369
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2014 $b 38 $c 2 $d 70-90 $i 1879-0771 $m Computerized medical imaging and graphics $n Comput Med Imaging Graph $x MED00001216
LZP    __
$a Pubmed-20150306

Find record

Citation metrics

Archiving options