3D Ultrasound image segmentation: A Survey

Three-dimensional Ultrasound image segmentation methods are surveyed in this paper. The focus of this report is to investigate applications of these techniques and a review of the original ideas and concepts. Although many two-dimensional image segmentation in the literature have been considered as a three-dimensional approach by mistake but we review them as a three-dimensional technique. We select the studies that have addressed the problem of medical three-dimensional Ultrasound image segmentation utilizing their proposed techniques. The evaluation methods and comparison between them are presented and tabulated in terms of evaluation techniques, interactivity, and robustness.

[1]  K R Gottesfeld,et al.  Ultrasound in obstetrics. , 1978, Clinical obstetrics and gynecology.

[2]  Reza Razavi,et al.  Functional Imaging and Modeling of the Heart , 2019, Lecture Notes in Computer Science.

[3]  Ayman El-Baz,et al.  Abdomen and thoracic imaging , 2014 .

[4]  Borivoj Vojnovic,et al.  Towards high-throughput FLIM for protein-protein interaction screening of live cells and tissue microarrays , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[5]  Dinggang Shen,et al.  Machine Learning in Medical Imaging , 2012, Lecture Notes in Computer Science.

[6]  Hans-Peter Meinzer,et al.  Bildverarbeitung für die Medizin 2004 , 2004 .

[7]  Karin Rothschild.  Computer Vision Beyond The Visible Spectrum , 2016 .

[8]  H. Brody.  Medical imaging , 2013, Nature.

[9]  Ken Masamune,et al.  Computer Aided Surgery , 2012, Proceedings in Information and Communications Technology.

[10]  J. Alison Noble,et al.  Ultrasound image segmentation: a survey , 2006, IEEE Transactions on Medical Imaging.

[11]  L. Tarassenko,et al.  Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE , 2014 .

[12]  H. Levine.  Medical Imaging , 2010, Annals of Biomedical Engineering.

[13]  James S. Duncan,et al.  Medical Image Analysis , 1999, IEEE Pulse.

[14]  J. A. Bushman,et al.  Medical & biological engineering & computing , 2006, Medical and Biological Engineering and Computing.

[15]  Ana L. N. Fred,et al.  Mathematical Methodologies in Pattern Recognition and Machine Learning , 2012 .

[16]  Mark Holden,et al.  Physics in Medicine and Biology , 1956, Nature.

[17]  Siddhartha Sikdar,et al.  Semiautomatic segmentation of atherosclerotic carotid artery lumen using 3D ultrasound imaging , 2013, Medical Imaging.

[18]  Simon Ameer-Beg,et al.  Biomedical Imaging: From Nano to Macro , 2008 .

[19]  M. Tolcott.  Biomedical engineering. , 1972, Science.

[20]  Gerhard Goos,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 , 2014, Lecture Notes in Computer Science.

[21]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[22]  Nassir Navab,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013 , 2013, Lecture Notes in Computer Science.

[23]  Peter Fritzson,et al.  11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007 , 2007 .

[24]  Sotirios A. Tsaftaris,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 , 2015, Lecture Notes in Computer Science.

[25]  Frank Lindseth,et al.  Information Processing in Computer-Assisted Interventions , 2013, Lecture Notes in Computer Science.

[26]  Wei. Shao,et al.  Prostate segmentation and multimodal registration in 3D ultrasound images , 2009 .

[27]  Niilo Saranummi,et al.  Information technology in biomedicine , 2002, IEEE Trans. Biomed. Eng..

[28]  Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439) , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[29]  A. C. Baker,et al.  Ultrasound in Medicine , 1986 .

[30]  Julien Olivier,et al.  3D Ultrasound Image Segmentation: Interactive Texture-Based Approaches , 2011 .

[31]  L. Light.  Engineering in medicine and biology , 1970 .

[32]  Ujjwal Maulik,et al.  Advanced Computational Approaches to Biomedical Engineering , 2014, Springer Berlin Heidelberg.

[33]  Nassir Navab,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013 , 2013, Lecture Notes in Computer Science.

[34]  R. M. Natal Jorge,et al.  Computational Vision and Medical Image Processing: VipIMAGE 2007 , 2007 .

[35]  Alejandro F. Frangi,et al.  Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 , 2015, Lecture Notes in Computer Science.

[36]  E. W. Shrigley.  Medical Physics , 1944, British medical journal.

[37]  Michael R Hamblin,et al.  CA : A Cancer Journal for Clinicians , 2011 .

[38]  Ron Kikinis,et al.  Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002 , 2002, Lecture Notes in Computer Science.

[39]  F. Deconinck,et al.  Information Processing in Medical Imaging , 1984, Springer Netherlands.

[40]  Ian Lewis,et al.  Proceedings of the SPIE , 2012 .

[41]  Chowdhury,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 , 2008, Lecture Notes in Computer Science.

[42]  Stuart I. Herbert,et al.  Computer Methods and Programs in Biomedicine 48 (1995) 21-26 , 1995 .

[43]  Christopher J. Taylor,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 , 2009, Lecture Notes in Computer Science.

[44]  Jan Bohacik,et al.  British Journal of Health Informatics and Monitoring publication information , 2014 .

[45]  Michael W. Vannier,et al.  International Journal for Computer Assisted Radiology and Surgery , 2006, International Journal of Computer Assisted Radiology and Surgery.