Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing-sensitivity encoding (CS-SENSE).

IF 1.7 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Radiological Physics and Technology Pub Date : 2025-05-12 DOI:10.1007/s12194-025-00911-4

Norikazu Koori, Shohei Yamamoto, Hiroki Kamekawa, Hiraku Fuse, Masato Takahashi, Shin Miyakawa, Kota Sasaki, Reina Naruse, Kenji Yasue, Hiroki Nosaka, Yasuo Takatsu, Kosaku Saotome, Kazuma Kurata

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引用次数: 0

Abstract

This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T₁-weighted image (T₁WI) and T₂-weighted image (T₂WI) were acquired using a phantom created by a 3D printer. Each quantitative values (signal-to-noise ratio [SNR], contrast-to-noise ratio [CNR], structural similarity [SSIM], and scale-invariant feature transform [SIFT]) and visual evaluation score (VES) were calculated by the acquired images. The correlation coefficients among the calculating quantitative values and VES were calculated. The difference in methods for evaluating the image quality of T₁WI and T₂WI images using CS-SENSE was clarified. Variations in image quality, as reflected by VES in T₁WI and T₂WI images obtained via the CS-SENSE method, can be quantitatively assessed. Specifically, CNR is effective for evaluating changes in T₁WI, while SNR, CNR, and SIFT are suitable for assessing variations in T₂WI.

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压缩感知灵敏度编码（CS-SENSE）磁共振成像图像质量评价方法的比较

本研究旨在比较CS-SENSE方法获取图像的定量值与视觉评分之间的关系。采用3D打印模体获取t1加权像（T1WI）和t2加权像（T2WI）。根据获取的图像计算各定量值（信噪比[SNR]、噪比[CNR]、结构相似度[SSIM]、尺度不变特征变换[SIFT]）和视觉评价分数（VES）。计算定量值与VES之间的相关系数。澄清了CS-SENSE评价T1WI和T2WI图像质量方法的差异。通过CS-SENSE方法获得的T1WI和T2WI图像中的VES所反映的图像质量变化可以定量评估。具体而言，CNR可有效评估T1WI的变化，而SNR、CNR和SIFT则适用于评估T2WI的变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Radiological Physics and Technology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

3.00

自引率

12.50%

发文量

期刊介绍： The purpose of the journal Radiological Physics and Technology is to provide a forum for sharing new knowledge related to research and development in radiological science and technology, including medical physics and radiological technology in diagnostic radiology, nuclear medicine, and radiation therapy among many other radiological disciplines, as well as to contribute to progress and improvement in medical practice and patient health care.