MRI imaging, comparison of MRI with other modalities, noise in MRI images and machine learning techniques for noise removal: A review

Sajid Ullah Khan, Najeeb Ullah, Imran Ahmed, Irshad Ahmad, Muhammad Irfan Mahsud

Research output: Contribution to journalReview articlepeer-review

13 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)243-254
Number of pages12
JournalCurrent Medical Imaging
Volume15
Issue number3
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • Ailments
  • Diagnosis
  • Image modalities
  • MRI images
  • MRI noise removal
  • Machine learning

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