TY - JOUR
T1 - Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing–sensitivity encoding (CS-SENSE)
AU - Koori, Norikazu
AU - Yamamoto, Shohei
AU - Kamekawa, Hiroki
AU - Fuse, Hiraku
AU - Takahashi, Masato
AU - Miyakawa, Shin
AU - Sasaki, Kota
AU - Naruse, Reina
AU - Yasue, Kenji
AU - Nosaka, Hiroki
AU - Takatsu, Yasuo
AU - Saotome, Kosaku
AU - Kurata, Kazuma
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Japanese Society of Radiological Technology and Japan Society of Medical Physics 2025.
PY - 2025/6
Y1 - 2025/6
N2 - 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.
AB - 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.
KW - CS-SENSE
KW - Compressed sensing
KW - Scale-invariant feature transform (SIFT)
KW - Sensing–sensitivity encoding (SENSE)
KW - Structural similarity (SSIM)
UR - https://www.scopus.com/pages/publications/105005217982
UR - https://www.scopus.com/pages/publications/105005217982#tab=citedBy
U2 - 10.1007/s12194-025-00911-4
DO - 10.1007/s12194-025-00911-4
M3 - Article
C2 - 40353935
AN - SCOPUS:105005217982
SN - 1865-0333
VL - 18
SP - 597
EP - 605
JO - Radiological Physics and Technology
JF - Radiological Physics and Technology
IS - 2
M1 - e021985428
ER -