eprintid: 2268 rev_number: 9 eprint_status: archive userid: 6 dir: disk0/00/00/22/68 datestamp: 2014-08-04 11:23:26 lastmod: 2016-04-06 08:20:36 status_changed: 2014-08-04 11:23:26 type: article metadata_visibility: show creators_name: Rudyanto, Rina D. creators_name: Kerkstra, Sjoerd creators_name: van Rikxoort, Eva M. creators_name: Fetita, Catalin creators_name: Brillet, Pierre-Yves creators_name: Lefevre, Christophe creators_name: Xue, Wenzhe creators_name: Zhu, Xiangjun creators_name: Liang, Jianming creators_name: Oksuz, Ilkay creators_name: Ünay, Devrim creators_name: Kadipasaoglu, Kamuran creators_name: Estépar, Raúl San José creators_name: Ross, James C. creators_name: Washko, George R. creators_name: Prieto, Juan-Carlos creators_name: Hoyos, Marcela Hernández creators_name: Orkisz, Maciej creators_name: Meine, Hans creators_name: Hüllebrand, Markus creators_name: Stöcker, Christina creators_name: Mir, Fernando Lopez creators_name: Naranjo, Valery creators_name: Villanueva, Eliseo creators_name: Staring, Marius creators_name: Xiao, Changyan creators_name: Stoel, Berend C. creators_name: Fabijanska, Anna creators_name: Smistad, Erik creators_name: Elster, Anne C. creators_name: Lindseth, Frank creators_name: Foruzan, Amir Hossein creators_name: Kiros, Ryan creators_name: Popuri, Karteek creators_name: Cobzas, Dana creators_name: Jimenez-Carretero, Daniel creators_name: Santos, Andres creators_name: Ledesma-Carbayo, Maria J. creators_name: Helmberger, Michael creators_name: Urschler, Martin creators_name: Pienn, Michael creators_name: Bosboom, Dennis G.H. creators_name: Campo, Arantza creators_name: Prokop, Mathias creators_name: de Jong, Pim A. creators_name: Ortiz-de-Solorzano, Carlos creators_name: Muñoz-Barrutia, Arrate creators_name: van Ginneken, Bram creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: ilkay.oksuz@imtlucca.it creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: title: Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study ispublished: pub subjects: QA75 subjects: RC divisions: CSA full_text_status: none keywords: Thoracic Computed Tomography; Lung Vessels; Algorithm comparison; Segmentation; Challenge abstract: The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of different algorithms to identify vessels in thoracic computed tomography (CT) scans. Vessel segmentation is fundamental in computer aided processing of data generated by 3D imaging modalities. As manual vessel segmentation is prohibitively time consuming, any real world application requires some form of automation. Several approaches exist for automated vessel segmentation, but judging their relative merits is difficult due to a lack of standardized evaluation. We present an annotated reference dataset containing 20 CT scans and propose nine categories to perform a comprehensive evaluation of vessel segmentation algorithms from both academia and industry. Twenty algorithms participated in the VESSEL12 challenge, held at International Symposium on Biomedical Imaging (ISBI) 2012. All results have been published at the VESSEL12 website http://vessel12.grand-challenge.org. The challenge remains ongoing and open to new participants. Our three contributions are: (1) an annotated reference dataset available online for evaluation of new algorithms; (2) a quantitative scoring system for objective comparison of algorithms; and (3) performance analysis of the strengths and weaknesses of the various vessel segmentation methods in the presence of various lung diseases. date: 2014-10 date_type: published publication: Medical Image Analysis volume: 18 number: 7 publisher: Elsevier pagerange: 1217-1232 id_number: 10.1016/j.media.2014.07.003 refereed: TRUE issn: 1361-8415 official_url: http://www.sciencedirect.com/science/article/pii/S136184151400111X citation: Rudyanto, Rina D. and Kerkstra, Sjoerd and van Rikxoort, Eva M. and Fetita, Catalin and Brillet, Pierre-Yves and Lefevre, Christophe and Xue, Wenzhe and Zhu, Xiangjun and Liang, Jianming and Oksuz, Ilkay and Ünay, Devrim and Kadipasaoglu, Kamuran and Estépar, Raúl San José and Ross, James C. and Washko, George R. and Prieto, Juan-Carlos and Hoyos, Marcela Hernández and Orkisz, Maciej and Meine, Hans and Hüllebrand, Markus and Stöcker, Christina and Mir, Fernando Lopez and Naranjo, Valery and Villanueva, Eliseo and Staring, Marius and Xiao, Changyan and Stoel, Berend C. and Fabijanska, Anna and Smistad, Erik and Elster, Anne C. and Lindseth, Frank and Foruzan, Amir Hossein and Kiros, Ryan and Popuri, Karteek and Cobzas, Dana and Jimenez-Carretero, Daniel and Santos, Andres and Ledesma-Carbayo, Maria J. and Helmberger, Michael and Urschler, Martin and Pienn, Michael and Bosboom, Dennis G.H. and Campo, Arantza and Prokop, Mathias and de Jong, Pim A. and Ortiz-de-Solorzano, Carlos and Muñoz-Barrutia, Arrate and van Ginneken, Bram Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Analysis, 18 (7). pp. 1217-1232. ISSN 1361-8415 (2014)