{"title":"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","authors":"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","doi":"10.1007/s12194-025-00911-4","DOIUrl":null,"url":null,"abstract":"<p><p>This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T<sub>1</sub>-weighted image (T<sub>1</sub>WI) and T<sub>2</sub>-weighted image (T<sub>2</sub>WI) 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 T<sub>1</sub>WI and T<sub>2</sub>WI images using CS-SENSE was clarified. Variations in image quality, as reflected by VES in T<sub>1</sub>WI and T<sub>2</sub>WI images obtained via the CS-SENSE method, can be quantitatively assessed. Specifically, CNR is effective for evaluating changes in T<sub>1</sub>WI, while SNR, CNR, and SIFT are suitable for assessing variations in T<sub>2</sub>WI.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing-sensitivity encoding (CS-SENSE).\",\"authors\":\"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\",\"doi\":\"10.1007/s12194-025-00911-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T<sub>1</sub>-weighted image (T<sub>1</sub>WI) and T<sub>2</sub>-weighted image (T<sub>2</sub>WI) 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 T<sub>1</sub>WI and T<sub>2</sub>WI images using CS-SENSE was clarified. Variations in image quality, as reflected by VES in T<sub>1</sub>WI and T<sub>2</sub>WI images obtained via the CS-SENSE method, can be quantitatively assessed. Specifically, CNR is effective for evaluating changes in T<sub>1</sub>WI, while SNR, CNR, and SIFT are suitable for assessing variations in T<sub>2</sub>WI.</p>\",\"PeriodicalId\":46252,\"journal\":{\"name\":\"Radiological Physics and Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiological Physics and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s12194-025-00911-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiological Physics and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12194-025-00911-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing-sensitivity encoding (CS-SENSE).
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.
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.
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