This article describes how to organize sentences in English papers on magnetic resonance field. In particular, “paragraph writing” and “coherence” are important skills required to logically organize sentences. This article explains them in detail with a number of examples from published papers on magnetic resonance. The ability to write in English may become less important in the near future due to the rapid progress of automatic translation technologies, using artificial intelligence (AI) such as Google Translate and DeepL. However, arranging English sentences and organizing them in a logical manner will continue to be an essential task for authors, even in the age of AI. I hope that this article will be of help to young researchers who plan to write manuscripts in English.

　QIBA (Quantitative Imaging Biomarkers Alliance) and J-QIBA (Japan-QIBA) aim to standardize the quantitative values obtained from radiological images and use them in clinical trials and routine clinical practice. In this review, we will give an overview of QIBA and J-QIBA. We will also introduce technology development and clinical applications of rapid relaxometry techniques that quantify tissue relaxation times.

　Arterial spin labeling (ASL) is a method for evaluating perfusion that uses magnetically labeled arterial blood water as an endogenous tracer. Although research and technical development have been conducted for a long time, introduction of ASL into clinical practice has been delayed because of its low signal-to-noise ratio (SNR). In recent years, advances in the pulse sequence and hardware, such as high static magnetic fields and high-sensitivity phased array coils, have made it possible to obtain high-SNR ASL images in a clinically acceptable time. In this regard, a consensus paper proposed simple and standard usage, including recommended techniques and parameters, to obtain a consistent image quality. Major MR manufacturers offered ASL pulse sequences based on this study. Hence, ASL has been used in clinical practice, and the effectiveness in measuring perfusion using ASL has been reported for the diagnosis of various neurological disorders. This article will review the technique for perfusion measurement and quantification and the recent technical progress in ASL.

　Implantable medical devices interact with the static, high-frequency, and gradient magnetic fields of magnetic resonance (MR) imaging scanners. The static magnetic field causes a displacement force and torque on a device, while the high-frequency field induces heating of the tissue around the device. In order to avoid such harmful effects among patients, healthcare professionals should readily obtain precise information regarding the MR safety of a device implanted in patients. Based on such information, they may confirm whether MR examinations are allowed for the patients and the MR conditions that are appropriate. Thus, information retrieval systems for the MR safety of implantable medical devices have been developed and implemented in practical use. This article reviews these systems and discusses their future prospects with a focus on a system developed in Japan.