Comparison between Different Methods for Noise Cancellation in Medical Image

Abstract

In the medical community, doctors use different types of medical imaging to diagnose the disease. It is possible that these types lead to noise. The goal is to rid these types of noise of the appearance of the image clearly, to give the specialist proper medical examination. These types are Magnetic Resonance (MR), Computed Tomography (CT), Ultrasounds and X-Ray images. For measuring the denoised image quality we used:  Peak to Signal noise (PSNR).This is to facilitate the medical community in obtaining the best results for the diagnosis, describing the disease and its treatment and deal with the patient clearly and comfortably.

Country : Egypt

1 Azza M. Abd_elmegeed2 Mostafa Y. Makkey

  1. Researcher, Department of Electrical Engineering, Assiut University, Assiut, Egypt
  2. Professor, Department of Electrical Engineering, Assiut University, Assiut, Egypt

IRJIET, Volume 5, Issue 6, June 2021 pp. 16-21

doi.org/10.47001/IRJIET/2021.506004

References

  1. OGNJEN MAGUD, EVA TUBA and NEBOJSA BACANIN “An Algorithm for Medical Ultrasound Image Enhancement by Speckle Noise Reduction” JohnNaisbitt University ,Faculty of Computer Science Bulevarumetnosti 29, 11070 Beograd SERBIA
  2. Radek BENES1, Kamil RIHA1 “MEDICAL IMAGE DENOISING BY IMPROVED KUAN FILTER” 1Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Purkynova 118, Brno,
  3. Aleksandra Piˇzurica, Wilfried Philips, IgnaceLemahieu, and Marc Acheroy A Versatile “Wavelet Domain Noise Filtration Technique for Medical Imaging” PUBLISHED IN IEEE TRANSACTIONS ON MEDICAL IMAGING VOL. 22, NO. 3, MARCH 2003, PAGES 323–331
  4. Alberto Martin and Sabri Tosunoglu Florida IMAGE PROCESSING TECHNIQUES FOR MACHINE VISION, International University Department of Mechanical Engineering 10555 West Flagler Street Miami, Florida 33174
  5. FaouziBenzarti, Hamid Amiri; Speckle Noise Reduction in Medical Ultrasound ”,Image Signal, Image and Pattern Recognition Laboratory (TSIRF) ENIT Engineering School of Tunis (ENIT)
  6. H. OULHAJ A. AMINE1, M. RZIZA2And D. ABOUTAJDINE “Noise Reduction in Medical Imaging- Comparison of noise removal Algorithms”, LRIT UnitéAssociée au CNRST (URAC 29) MOHAMMED V University  Rabat, Morocco 1,2LRIT UnitéAssociée au CNRST (URAC 29)MOHAMMED V University, Rabat, Morocco1ENSA, IbnTofail University.
  7. M. N. Nobi and M. A. Yousuf;  A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images”, Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail 1902, Bangladesh Received 19 July 2010, accepted in revised form 3 October 2010.
  8. NalinKumar* and Mrs. M NachamaiNoise Removal and Filtering Techniques used in Medical Images”, Department of Computer Science Christ University, Bengaluru, India.*Corresponding author http://dx.doi.org/10.13005/ojcst/10.01.14 (Received: February 19, 2017; Accepted: March 03, 2017).
  9. Javed Akhtar, Dr Muhammad Younus Javed  “Image Compression with Different Types of Wavelets”, Javed Akhtar, Dr Muhammad YounusJaved Department of Computer Engineering, College of E&ME National University of Sciences and Technology, Rawalpindi Pakistan IEEE—ICET 2006 2nd International Conference on Emerging Technologies Peshawar, Pakistan 13-14 November 2006.
  10. A.Abbate and J. Frankel U.S.“WAVELET TRANSFORM SIGNAL PROCESSING APPLIED TO ULTRASONICS”, Army Armament, Munitions, and Chemical Command Army Research, Development and Engineering Center Benet Laboratories, Watervliet, NY 12189-4050 P. Das Electrical, Computers, and Systems Engineering Dept. Rensselaer Polytechnic Institute, Troy NY 12180.
  11. Sonja Grgic, MislavGrgic, Member, IEEE, and BrankaZovko-Cihlar, Member, IEEE   Performance “Analysis of Image Compression Using Wavelets”,   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 48, NO. 3, JUNE 2001.
  12. Mr. RohitVerma Dr. Jahid Ali ;“A Comparative Study of Various Types of Image Noise andEfficient Noise Removal Techniques ”,   School of Information Technology SSCIMT, Badhani, Pathankot,  APJIMTC, Jalandhar, India IndiaVolume 3, Issue 10, October 2013 ISSN: 2277 128X  International Journal of Advanced Research in Computer Science and Software Engineering  Research Paper  Available online at: www.ijarcsse.com