Literature DB >> 31989876

MRI Imaging, Comparison of MRI with other Modalities, Noise in MRI Images and Machine Learning Techniques for Noise Removal: A Review.

Sajid Ullah Khan1, Najeeb Ullah2, Imran Ahmed3, Irshad Ahmad4, Muhammad Irfan Mahsud2.   

Abstract

BACKGROUND: Medical imaging is to assume greater and greater significance in an efficient and precise diagnosis process. DISCUSSION: It is a set of various methodologies which are used to capture internal or external images of the human body and organs for clinical and diagnosis needs to examine human form for various kind of ailments. Computationally intelligent machine learning techniques and their application in medical imaging can play a significant role in expediting the diagnosis process and making it more precise.
CONCLUSION: This review presents an up-to-date coverage about research topics which include recent literature in the areas of MRI imaging, comparison with other modalities, noise in MRI and machine learning techniques to remove the noise. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  MRI images; MRI noise removal; ailments; diagnosis; image modalities; machine learning

Mesh:

Year:  2019        PMID: 31989876     DOI: 10.2174/1573405614666180726124952

Source DB:  PubMed          Journal:  Curr Med Imaging Rev        ISSN: 1573-4056


  1 in total

1.  Classification of Pharynx from MRI Using a Visual Analysis Tool to Study Obstructive Sleep Apnea.

Authors:  Muhammad Laiq Ur Rahman Shahid; Junaid Mir; Furqan Shaukat; Muhammad Khurram Saleem; Muhammad Atiq Ur Rehman Tariq; Ahmed Nouman
Journal:  Curr Med Imaging       Date:  2021
  1 in total

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