Multiparametric MRI, particularly at 3 tesla, is regarded as the most promising method for the detection, localization, and local staging of prostate cancer. However, these MR examinations may easily generate more than 500 individual MR images and, when applied, a similar number of spatially resolved proton MR spectra, said Harald Busse, PhD, of Leipzig University Hospital.
"Analysis, review, and reporting of these data will then require substantial amounts of time and effort," he said. "In addition, the radiologist may also have to work with different tools for the various tasks."
The team developed software that allows for simultaneous visualization and synchronized exploration of multiparametric MRI data, Busse said.
"The presented software provides an integrated solution for the automated analysis and advanced visualization of multiparametric MRI data of the prostate and may assist the radiologist with prostate cancer diagnostics," he said.
