Extracting the Inner and Outer Borders of Bladder Wall and Flattening the Extracted Wall for MR Cystography
نویسندگان
چکیده
This paper presents a magnetic resonance imaging (MRI)-based virtual cystoscopy system, which extracts the bladder wall from T1-weighted MR images where the wall is enhanced while the urine and surrounding fat tissues are suppressed by a fully non-invasive imaging procedure. The system analyzes the extracted wall and detects abnormal features automatically. Test results are encouraging by FROC (free response receiver operating characteristic) merit. Keywords—Virtual cystoscopy, bladder wall segmentation, T1-weighted magnetic resonance imaging, non-invasive procedure, computer aided detection.
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