Eric A Borisch1, Roger C Grimm1, Soudabeh Kargar2, Akira Kawashima3, Joshua D Trzasko1, and Stephen J Riederer1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, Mayo Clinic, Phoenix, AZ, United States
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, Mayo Clinic, Phoenix, AZ, United States
A sparsity-regularized forward model-based iterative reconstruction is presented improving the through-plane resolution and noise performance of the output images produced from a set of overlapping lower (thicker) resolution 2D acquisitions.
Axial T2SE images of the prostate of one subject: (A) standard 3mm thick T2SE (acquired in 4:14) and (B-F) 1mm thick images. (B) was reconstructed using the linear KZM method[1], while (C-F) were generated with the new MBIR at the λ values shown. Note some improved sharpness of (B) vs. (A) owing to the thinner slice but an increased noise level. MBIR with increasing λ provides progressive reduction in noise in (C-F). However, use of λ=0.00075 caused undesirable blurring, e.g. between the peripheral and transition zones (F, arrow).
Results from a second case. Fig. 2B vs. A better portrays a lesion (B, arrow), but MBIR provides further improved depiction (D, yellow arrow) and definition of a second lesion (orange arrow). Higher λ values again cause blur. Across the patient studies the radiologist’s perceived preference was for λ=0.00025.
