内容紹介
近年、機械学習のMRIへの応用が注目されている。機械学習を用いた研究発表が増えてきており、一部は極めて高い性能を示している。本稿においては、深層学習と呼ばれる機械学習手法を中心に、機械学習の基本的な考え方や研究紹介及び未解決の課題について説明する。また、MRIに関連する注目の製品や論文についても紹介する。
Machine learning is the promising technique for MRI to improve diagnostic performance and image quality. This new technique is becoming more popular in many fields thanks to advancement of the algorithm and low computational cost by general purpose graphic processing units. Many papers showed successful results for the computer-aided diagnosis, denoising, and reconstruction using the machine learning in MRI. In this article, we introduced the basic idea, latest trend, and technical issues of machine learning for MRI. In addition to this, we summarized the up-to-date notable products and papers for MRI.
目次
Machine learning is the promising technique for MRI to improve diagnostic performance and image quality. This new technique is becoming more popular in many fields thanks to advancement of the algorithm and low computational cost by general purpose graphic processing units. Many papers showed successful results for the computer-aided diagnosis, denoising, and reconstruction using the machine learning in MRI. In this article, we introduced the basic idea, latest trend, and technical issues of machine learning for MRI. In addition to this, we summarized the up-to-date notable products and papers for MRI.