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

被引:12
作者
Khan, Sajid Ullah [1 ]
Ullah, Najeeb [2 ]
Ahmed, Imran [3 ]
Ahmad, Irshad [4 ]
Mahsud, Muhammad Irfan [2 ]
机构
[1] Univ Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia
[2] CECOS Univ IT & Emerging Sci, Peshawar, Pakistan
[3] Inst Management Sci, Peshawar, Pakistan
[4] Islamia Coll Peshawar, Dept Comp Sci, Peshawar, Pakistan
关键词
MRI images; image modalities; MRI noise removal; machine learning; ailments; diagnosis; NONLOCAL MEANS; FILTER; ALGORITHM;
D O I
10.2174/1573405614666180726124952
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:243 / 254
页数:12
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