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The Evolution of MRI Before and After the Introduction of AI
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Author(s): Shruti S. Deshmukh (Datta Meghe Institute of Higher Education and Research, India), Pranjali Deshmukh (St. Vincent Pallotti College of Engineering and Technology, Nagpur, India), Kalyani N. Satone (St. Vincent Pallotti College of Engineering and Technology, Nagpur, India), Palash Gourshettiwar (Datta Meghe Institute of Higher Education and Research, India)and Meher Langote (Datta Meghe Institute of Higher Education and Research, India)
Copyright: 2026
Pages: 22
Source title:
Radiodiagnosis in the Era of AI
Source Author(s)/Editor(s): Praveen Kumar (Datta Meghe Institute of Higher Education and Research, Wardha, India), Prateek Verma (Dayananda Sagar University, Bangalore, India), Gaurav Vedprakash Mishra (Datta Meghe Institute of Higher Education and Research, Wardha, India), Gopal Singh Phartiyal (University of Leeds, UK)and Anurag Ashok Luharia (Datta Meghe Institute of Higher Education and Research, Wardha, India)
DOI: 10.4018/979-8-3373-0903-3.ch004
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Abstract
Magnetic Resonance Imaging (MRI) is a perfect solution of imaging diagnostically used in medicine and its related fields. However, there has been tremendous advancement in producing MRI technology in both hardware and software besides improvements in characterization of images. This paper gives a background of MRI together with early drawbacks and the introduction of Artificial Intelligence (AI). AI has improved image acquisition, reconstruction and analysis through increased speed of scans, higher and more accurate image results and thus better diagnosis. However, the use of AI in MRI encounters some hurdles, such as technical, ethical, and AI capabilities hurdles. This paper focuses on MRI history prior to and after AI incorporation, technological advancement on pre-AI MRI, roles of AI in MRI enhancement and challenges that continue to occur for enhanced achievement of desirable outcomes from AI MRI.
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