Hamada Kentaro, Kuroda Masahiro, Yoshimura Yuuki, Khasawneh Abdullah, Barham Majd, Tekiki Nouha, Sugianto Irfan, Bamgbose Babatunde O, Konishi Kohei, Sugimoto Kohei, Ishizaka Hinata, Kurozumi Akira, Matsushita Toshi, Ohno Seiichiro, Kanazawa Susumu, Asaumi Junichi
Radiological Technology, Graduate School of Health Sciences, Okayama University.
Radiology Diagnosis, Okayama Saiseikai General Hospital.
Acta Med Okayama. 2021 Apr;75(2):139-145. doi: 10.18926/AMO/61880.
Diffusion-weighted imaging may be used to obtain the apparent diffusion coefficient (ADC), which aids the diagnosis of cerebral infarction and tumors. An ADC reflects elements of free diffusion. Diffusion kurtosis imaging (DKI) has attracted attention as a restricted diffusion imaging technique. The ADC subtraction method (ASM) was developed to visualize restricted diffusion with high resolution by using two ADC maps taken with different diffusion times. We conducted the present study to provide a bridge between the reported basic ASM research and clinical research. We developed new imaging software for clinical use and evaluated its performance herein. This software performs the imaging process automatically and continuously at the pixel level, using ImageJ software. The new software uses a macro or a plugin which is compatible with various operating systems via a Java Virtual Machine. We tested the new imaging software's performance by using a Jurkat cell bio-phantom, and the statistical evaluation of the performance clarified that the ASM values of 99.98% of the pixels in the bio-phantom and physiological saline were calculated accurately (p<0.001). The new software may serve as a useful tool for future clinical applications and restricted diffusion imaging research.
扩散加权成像可用于获取表观扩散系数（ADC），这有助于脑梗死和肿瘤的诊断。ADC反映了自由扩散的要素。扩散峰度成像（DKI）作为一种受限扩散成像技术已引起关注。ADC减法法（ASM）的开发是为了通过使用不同扩散时间获取的两张ADC图以高分辨率可视化受限扩散。我们开展本研究以在已报道的ASM基础研究和临床研究之间搭建桥梁。我们开发了供临床使用的新成像软件并在此评估其性能。该软件使用ImageJ软件在像素层面自动且连续地执行成像过程。新软件使用通过Java虚拟机与各种操作系统兼容的宏或插件。我们通过使用Jurkat细胞生物模型测试了新成像软件的性能，性能的统计评估表明生物模型和生理盐水中99.98%像素的ASM值计算准确（p<0.001）。新软件可能成为未来临床应用和受限扩散成像研究的有用工具。
