Through segmentation all pixels of an organ or anatomical structure are detected. It is the basis for quantitative measurement. Measurements that can be obtained from the automated segmentation are for example the volume of organs or the curvature of the spine. Further applications are prosthetic planning or 3D-printing.
We offer customized solutions as a service project for further information check out Deep Learning Services.
Anatomical structures with substructures
Quantitative Measurements like the volume, angle or length can directly be calculated
Possible applications where automated annotation could be applied to:
- 2D radiographic images
- 3D MR, CT, PET and SPECT
- Bones (spine,..)
- Dental: Prosthetic planning (nerve canal, bones, teeth,...)
- Dental: Caries detection
- Organs (liver, kidney,...): Volumetry
- Cardiac: Ejection fraction
- 3D printing
- Multi-modal input data
- Single-click solutions
- No parameterizations necessary
- Tumor segmentation in PET and SPECT
- Support for all kinds of input data
- Heterogeneous objects
- Manual refinement of segmentation result
- Sparse set of seed points for full 3-D segmentation
- GPU hardware acceleration
In image analysis and medical diagnosis, segmentation techniques are used to separate the objects of interest from the surrounding context. Once a segmentation has been computed,several statistics can easily be derived from the object. In general, manual segmentation methods are very time-consuming. Therefore, our focus is on semi-automatic and fully automatic methods.
Automatic image segmentation and annotation can customized to specific applications, like organ segmentation or computer aided diagnosis.
Algorithms require some guidance by the user, but in exchange allow the segmentation of arbitrary structures in the images. They are well suited for the segmentation of heterogenous structures, such as tumors, and for research purposes.
The interactive Smart Brush allows the quick and easy annotation of organs. It can be used for different modalities (CT, MRI,..). The setting of parameters allows a fast annotation for all organs or anatomical structures. The example on the right shows the result of our Smart Brush on MRI images.
It shows the annotation of the lungs, the spleen, the liver and the kidneys. In the right image also substructures of the kidneys are annotated.
In this example we realized a robust and accurate segmentation of the liver, the spleen and the kidneys in various Magnetic Resonance Imaging (MRI) sequences. The apporach has proven to cope with even non-standardized image intensities and varying contrast in MRI. All aspects of a typical AI service project have been realized in-house by our annotation and software experts.
- Average DICE Coefficient across all classes: 96%