Medical B-Mode Ultrasound Imaging Reconstruction Algorithms: Evaluation and Simulation

  • Khadeja M. Mohamed
  • Dr. Mohammed H. Ali
Keywords: Ultrasound, Echo Imaging, Speckle noise, 3D Reconstruction, Ultrasound Applications, Reconstruction, B-Mode, Rejoin of Interest (ROI)

Abstract

Ultrasound is one of the most important imaging modalities in medical practice. It is the most technique development with a lot benefits and with little challenges that include low imaging quality and high variability. Medical field is the most application that exploit the ultrasonic technique widely in body imaging, especially the real time Feature which take advantage of diagnostic time.

This research makes a survey on the ultrasound image reconstruction and Display. First, the Ultrasound Imaging are reviewed as overall studying include the frequency ranges, advantages, main limitations, and applications. Second, the 2D or B-mode ultrasound imaging according to generation steps and mathematic studying are reviewed. Third, the stages of the 3D ultrasound object formation which is the data acquisition, data preprocessing, reconstruction method and 3D visualization, are discussed. Fourth, MATLAB Simulation to create B-Mode Ultrasound image with Synthetic phantom of a fetus in the third month of age, by using Field II software made specially for ultrasound environment, after initializing the ultrasound environment a phantom used to yield the B-Mode image. The complete B-Mode fetus scanned image creation need 5 hours and approximately 20 mins, that each line takes around 2min and 30 sec, with a processor 1.8 GHz Dual-Core Intel Core i5, MacOS. When the parameters of transducer have been changing then the clearness of the generated image the time taken will change in response.

References

[1] Afonso. M & Miguel Sanches, “Image Reconstruction Under Multiplicative Speckle Noise Using Total Variation”, Neuro computing, Elsevier, 2015.
[2] https://www.vedantu.com/physics/ultrasound
[3] D. C. Levin, V. M. Rao, A. J. Maitino, L. Parker y J. H. «Comparative increases in utilization rates of ultrasound examinations among radiologists, cardiologists, and other physicians from 1993 to 2001, » Journal of the american college of radiology, 2004.
[4] Ye Yao Yue Pan Shiqing Liu, “Power ultrasound and its applications: A state-of-the-art review” In Ultrasonics Sonochemistry,2019.
[5] Chen Du, Ning-Li Chai, En-Qiang Linghu, Hui-Kai Li, Li-Hua Sun, Lei Jiang, Xiang-Dong Wang, Ping Tang, Jing Yang. “Comparison of endoscopic ultrasound, computed tomography and magnetic resonance imaging in assessment of detailed structures of pancreatic cystic neoplasms” 2017.
[6] Swanirbhar Majumder, Smita Majumder, chapter 6 “Biomedical Image Processing and Analysis", IGI Global, 2017.
[7] Henry Knipe, “https://radiopaedia.org/articles/distance-measurement” 2021
[8] D.R. Dance, S. Christofides, A.D.A. Maidment, I.D. McLean, K.H. Ng “Diagnostic Radiology Physics: A Handbook for Teachers and Students”, 2014
[9] Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, lex Bronstein. “Learning beamforming in ultrasound imaging” In Proceedings of Machine Learning Research, 2018.
[10] Chan Vei Siang, Farhan Mohamed, “A Survey on 3D Ultrasound Reconstruction Techniques”, In IntechOpen, 2019.
[11] Qinghua Huang, Zhaozheng Zeng “A Review on Real-Time 3D Ultrasound Imaging Technology”, In BioMed Research International, 2017.
[12] Andrew Gee, Richard Prager, Graham Treece, Laurence Berman “Engineering a freehand 3D ultrasound system” In Pattern Recognition Letters,2003
[13] D Miller, C Lippert, F Vollmer, O Bozinov, L Benes, D M Schulte, U Sure. “Comparison of different reconstruction algorithms for three-dimensional ultrasound imaging in a neurosurgical setting” 2012.
[14] Monika Kofler, Andreas Beham, Michael Affenzeller, Stefan Wagner, “Optimization of medical ultrasound transducers with simulation and genetic algorithms” In Proceedings of the 20th European Modeling and Simulation Symposium, 2008.
[15] Jiˇrí Jan, “Medical Image Processing, Reconstruction and Restoration” 2005.
[16] https://field-ii.dk
[17] Lalit Jajpura, Rajkishore Nayak, “Ultrasound applications in textiles and apparels” In Woodhead Publishing Series in Textiles, 2020.
[18] Jaeseong Jang, Chi Young Ahn, “Industrial Mathematics in Ultrasound Imaging” In Korean Society for Industrial and Applied Mathematics ,2016.
[19] K. Kirk Shung. “Diagnostic ultrasound Imaging and Blood Flow Measurements”, 2006.
[20] Roelandt, J.R.T.C. “Seeing the invisible: a short history ofcardiac ultrasound”, Eur. J. Echocardiography, 2000.
Published
2021-12-20
How to Cite
Mohamed, K. M., & Ali, D. M. H. (2021). Medical B-Mode Ultrasound Imaging Reconstruction Algorithms: Evaluation and Simulation. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 7(3), 51-56. https://doi.org/10.33130/AJCT.2021v07i03.009

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.