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

  • 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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article numbere021985428
Pages (from-to)597-605
Number of pages9
JournalRadiological Physics and Technology
Volume18
Issue number2
DOIs
Publication statusPublished - 06-2025

All Science Journal Classification (ASJC) codes

  • Radiation
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Radiology Nuclear Medicine and imaging

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