title: Noise-reduced prostatic MR imaging. Work in progress.
abstract: Measurement-dependent filtering, a nonlinear noise-reduction technique, was used to improve the signal-to-noise ratio of in vivo T2-weighted magnetic resonance images of the prostate gland. In both normal and abnormal prostates, the technique considerably reduced noise in T2-weighted images. The technique may provide more accurate depiction of regions of benign prostatic hyperplasia and carcinoma in the prostate.
authors: Department of Diagnostic Radiology and Nuclear Medicine, Stanford University Medical School, CA 94305.
authors: G
authors: G
authors: Sommer
authors: T
authors: T
authors: Brosnan
authors: Q
authors: Q
authors: Cao
authors: D
authors: D
authors: Nishimura
authors: A
authors: A
authors: Macovski
authors: J
authors: J
authors: McNeal
mesh_terms: D005374:Filtration; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D011467:Prostate / Q000473:pathology*; D011470:Prostatic Hyperplasia / Q000175:diagnosis*; D011471:Prostatic Neoplasms / Q000175:diagnosis*