Open AccessResearch on computer aided diagnosis based on artificial intelligence
Author(s) -
Zhu He,
Chunkai Qin,
Zhaobo Zeng
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032131
Subject(s) - magnetic resonance imaging , artificial intelligence , computer science , image processing , computer vision , real time mri , image (mathematics) , medical imaging , pattern recognition (psychology) , radiology , medicine
Magnetic Resonance Imaging (MRI) is a clinically important means of examination. Different pulse sequences can be used to obtain information about the structure, function, metabolism and other aspects of human tissues. Magnetic resonance imaging is also one of the most complex medical imaging methods. There are a lot of scientific and technical problems to be studied in various stages of magnetic resonance imaging, such as data acquisition, image reconstruction, image post-processing and image analysis. In this paper, the methods of data-driven and artificial intelligence are used to study the MRI image reconstruction, image processing and image analysis.