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Rapid submillimeter high-resolution prostate T2 mapping with a deep learning constrained Compressed SENSE reconstruction

Masami Yoneyama¹, Takashige Yoshida², Jihun Kwon¹, Kohei Yuda², Yuki Furukawa², Nobuo Kawauchi², Johannes M Peeters³, and Marc Van Cauteren³
¹Philips Japan, Tokyo, Japan, ²Radiology, Tokyo Metropolitan Police Hospital, Tokyo, Japan, ³Philips Healthcare, Best, Netherlands

Compressed SENSE-AI clearly reduces noise artifacts and significantly improves the accuracy and robustness of T2 values in submillimeter high-resolution prostate ME-TSE T2mapping compared with conventional SENSE and C-SENSE techniques.

Figure 1. Representative T2 maps of ME-TSE T2 mapping with SENSE, C-SENSE and CS-AI. CS-AI significantly cleaned up the image noise.

Figure 3. Comparison of high-resolution T2 weighted image with CS-AI and proposed 0.7mm high-resolution ME-TSE T2 map with CS-AI.