Dynamic contrast-enhanced MRI (DCE-MRI) has demonstrated high sensitivity for detection of breast cancer. The main limitation of the dynamic MR imaging is its low specificity. Recently published studies demonstrated that appropriate computer-aided diagnostic (CAD) systems can improve accuracy of diagnostic decisions and low the risk of lesions’ misdetection. We offer a bespoke software solution for quantitative analysis of dynamic MRI and diagnostic decision support. The software incorporates:
  • Intuitive user interface
  • Contrast images
  • Subtraction images
  • Fast 2D and 3D registration tools
  • Time series analysis tools
  • Enhancement curve assessment with evolutionary threshold free and user-independent technology
  • Parametric maps
  • Reporting

Example

The dataset above was pre-processed using efficient non-rigid registration algorithm, which allowed reducing artefacts occurred due to the patient’s motion and breathing. Signal intensity vs. time curves were extracted from the whole breast volume and classified into four groups: no significant enhancement, presence of a wash-in, presence of the intensity plateau, and presence of the wash-out phase.

The classification was performed in a fully-automated, threshold independent manner, which eliminates human bias from the examination and significantly reduces interpretation time and error.

Further, after each curve was classified, parameters of maximum enhancement, initial rate of enhancement, time of onset of enhancement and rate of wash out, were extracted and presented in a form of parametric maps.