KOHEI YUDA1, Takashige Yoshida1, Yuki Furukawa1, Masami Yoneyama2, Jihun Kwon2, Nobuo Kawauchi1, Johannes M. Peeters 3, and Marc Van Cauteren3
1Radiology, Tokyo Metropolitan Police Hospital, nakanoku, Japan, 2Philips Japan, Tokyo, Japan, shinagwaku, Japan, 3Philips Healthcare, Best, Netherlands, Netherlands, Netherlands
1Radiology, Tokyo Metropolitan Police Hospital, nakanoku, Japan, 2Philips Japan, Tokyo, Japan, shinagwaku, Japan, 3Philips Healthcare, Best, Netherlands, Netherlands, Netherlands
The CS-AI reduced the noise better compared to C-SENSE, and the depiction of the myocardium improved. Our results suggest that the application of CS-AI may be able to improve the image quality of myocardial T2W-BB.
(a) C-SENSE T2W-BB (b) CS-AI-T2W-BB
Figure 1. Representative high resolution T2W-BB images using the C-SENSE and CS-AI reconstructions.
(a) C-SENSE strong (b) CS-AI weak (c) CS-AI medium (d) CS-AI strong
Figure 2. High resolution T2W-BB images reconstructed by C-SENSE with denoising level = strong (a) and CS-AI with denoising level = weak, medium, and strong for (b), (c), and (d), respectively.