Use Cases of Definiens Software in Radiology

When radiological scans are interpreted by human observers, they are subject to variances in personal expertise and to individual circumstances – which generally lead to lower coherence levels and weaker comparability of results. A standardized, automated analysis routine for decision support eliminates the inconsistencies entailed by human evaluation. Here, you can read more about how radiologists are deploying Definiens software in research to automatically analyze radiological images and gain results that are comparable, reproducible, and reliable.

Use Case - Analysis of Computed Tomography (CT) Data

Computed Tomography is a well-established, non-invasive imaging technique. It creates a stack of 2D slices of an object from flat X-ray images around a single axis of rotation. The 2D slices define a 3D volume of usually asymmetric voxels (= volumetric pixels). The intensity of these voxels corresponds to the density of the scanned object. Image analysis difficulties can be caused, among other things, by image artifacts such as streaks, noise, or motion.

Interactive 3D Segmentation and Quantification of Lung Tumors
Fully Automated 3D Segmentation and Quantification of Liver Tumors

Use Case - Analysis of Magnetic Resonance Imaging (MRI) Data

The main challenge in analyzing MRI data is the large variance in quality (such as noise and inhomogeneities) of the data sets. In contrast to evaluating CT data, where calibrated densities are measured, fixed thresholds cannot be relied on with MRI since the measurements depend on the sequence that is used, as well as on environmental conditions such as temperature.

Analysis of the Corpus Callosum (CC)

Use Case - Analysis of Small Animal SPECT/CT Data Sets

Small-animal imaging is a powerful diagnostic method for the non-destructive study of biological processes, which is rapidly gaining importance in basic research as well as pre-clinical drug development. The field of applications is extensive and the range of imaging techniques is broad. Using Definiens, the full spectrum of small animal imaging studies can be addressed.

Automated Extraction of Anatomical Structures in Small Animal SPECT/CT Studies
Automated Extraction of Anatomical Structures from Chicken Embryo CT Data
Automated Blood Vessel Segmentation
Detection and Quantification of Atherosclerotic Plaques
Marker Detection for CT-FMT Fusion