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

Author(s): Sajid Ullah Khan*, Najeeb Ullah, Imran Ahmed, Irshad Ahmad, Muhammad Irfan Mahsud.

Journal Name: Current Medical Imaging
Formerly: Current Medical Imaging Reviews

Volume 15 , Issue 3 , 2019

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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.

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

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Article Details

VOLUME: 15
ISSUE: 3
Year: 2019
Page: [243 - 254]
Pages: 12
DOI: 10.2174/1573405614666180726124952
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