000199047 001__ 199047
000199047 005__ 20181203023511.0
000199047 0247_ $$2doi$$a10.1109/Tmi.2013.2276943
000199047 022__ $$a0278-0062
000199047 02470 $$2ISI$$a000334667000001
000199047 037__ $$aARTICLE
000199047 245__ $$aEvaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge
000199047 260__ $$bInstitute of Electrical and Electronics Engineers$$c2014$$aPiscataway
000199047 269__ $$a2014
000199047 300__ $$a17
000199047 336__ $$aJournal Articles
000199047 520__ $$aThis paper presents the evaluation results of the methods submitted to Challenge US: Biometric Measurements from Fetal Ultrasound Images, a segmentation challenge held at the IEEE International Symposium on Biomedical Imaging 2012. The challenge was set to compare and evaluate current fetal ultrasound image segmentation methods. It consisted of automatically segmenting fetal anatomical structures to measure standard obstetric biometric parameters, from 2D fetal ultrasound images taken on fetuses at different gestational ages (21 weeks, 28 weeks, and 33 weeks) and with varying image quality to reflect data encountered in real clinical environments. Four independent sub-challenges were proposed, according to the objects of interest measured in clinical practice: abdomen, head, femur, and whole fetus. Five teams participated in the head sub-challenge and two teams in the femur sub-challenge, including one team who tackled both. Nobody attempted the abdomen and whole fetus sub-challenges. The challenge goals were two-fold and the participants were asked to submit the segmentation results as well as the measurements derived from the segmented objects. Extensive quantitative (region-based, distance-based, and Bland-Altman measurements) and qualitative evaluation was performed to compare the results from a representative selection of current methods submitted to the challenge. Several experts (three for the head sub-challenge and two for the femur sub-challenge), with different degrees of expertise, manually delineated the objects of interest to define the ground truth used within the evaluation framework. For the head sub-challenge, several groups produced results that could be potentially used in clinical settings, with comparable performance to manual delineations. The femur sub-challenge had inferior performance to the head sub-challenge due to the fact that it is a harder segmentation problem and that the techniques presented relied more on the femur's appearance.
000199047 6531_ $$aChallenge
000199047 6531_ $$aevaluation
000199047 6531_ $$afetal biometry
000199047 6531_ $$aimage quality
000199047 6531_ $$asegmentation
000199047 6531_ $$aultrasound (US)
000199047 6531_ $$aCIBM-SPC
000199047 6531_ $$aLTS5
000199047 700__ $$uUniv Oxford, Dept Engn Sci, Inst Biomed Engn, Oxford OX3 7DQ, England$$aRueda, Sylvia
000199047 700__ $$uTech Univ Cluj Napoca, Dept Comp Sci, Cluj Napoca 400020, Romania$$aFathima, Sana
000199047 700__ $$aKnight, Caroline L.
000199047 700__ $$uUniv Oxford, Dept Engn Sci, Inst Biomed Engn, Oxford OX3 7DQ, England$$aYaqub, Mohammad
000199047 700__ $$uUniv Oxford, Nuffield Dept Obstet & Gynaecol, Oxford OX3 7DQ, England$$aPapageorghiou, Aris T.
000199047 700__ $$uUniv Oxford, Dept Engn Sci, Inst Biomed Engn, Oxford OX3 7DQ, England$$aRahmatullah, Bahbibi
000199047 700__ $$uTampere Univ Technol, Dept Signal Proc, FIN-33101 Tampere, Finland$$aFoi, Alessandro
000199047 700__ $$uTampere Univ Technol, Dept Signal Proc, FIN-33101 Tampere, Finland$$aMaggioni, Matteo
000199047 700__ $$uTampere Univ Technol, Dept Signal Proc, FIN-33101 Tampere, Finland$$aPepe, Antonietta
000199047 700__ $$uTampere Univ Technol, Dept Signal Proc, FIN-33101 Tampere, Finland$$aTohka, Jussi
000199047 700__ $$uUniv Oxford, Dept Engn Sci, Inst Biomed Engn, Oxford OX3 7DQ, England$$aStebbing, Richard V.
000199047 700__ $$aMcmanigle, John E.
000199047 700__ $$uTech Univ Cluj Napoca, Dept Comp Sci, Cluj Napoca 400020, Romania$$aCiurte, Anca
000199047 700__ $$uCity Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China$$aBresson, Xavier
000199047 700__ $$0240463$$g124931$$aBach Cuadra, Meritxell
000199047 700__ $$uCSIRO Computat Informat, N Ryde, NSW, Australia$$aSun, Changming
000199047 700__ $$uInst Informat Transmiss Problems, Res & Training Ctr Bioinformat, Moscow 127994, Russia$$aPonomarev, Gennady V.
000199047 700__ $$uInst Informat Transmiss Problems, Res & Training Ctr Bioinformat, Moscow 127994, Russia$$aGelfand, Mikhail S.
000199047 700__ $$uInst Informat Transmiss Problems, Res & Training Ctr Bioinformat, Moscow 127994, Russia$$aKazanov, Marat D.
000199047 700__ $$aWang, Ching-Wei
000199047 700__ $$aChen, Hsiang-Chou
000199047 700__ $$aPeng, Chun-Wei
000199047 700__ $$aHung, Chu-Mei
000199047 700__ $$aNoble, J. Alison$$uUniv Oxford, Dept Engn Sci, Inst Biomed Engn, Oxford OX3 7DQ, England
000199047 773__ $$j33$$tIeee Transactions On Medical Imaging$$k4$$q797-813
000199047 909C0 $$xU10954$$0252394$$pLTS5
000199047 909CO $$pSTI$$particle$$ooai:infoscience.tind.io:199047
000199047 917Z8 $$x124931
000199047 917Z8 $$x115534
000199047 937__ $$aEPFL-ARTICLE-199047
000199047 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000199047 980__ $$aARTICLE