Software for processing tomogram images
CT | micro CT | MRI
Hide (mask) unwanted features
Masking functions include thresholding techniques (for selecting pixels within a defined luminance range), manual painting modes where masks can be drawn and automatically interpolated between ‘key’ slices and the ability to import RT Structures as masks to facilitate the creation of 3D models. To aid the masking process various filters and dilation/erosion functions are available for image pre-processing.
Create 3D models
Easily create 3D models for viewing or 3D printing. Models are created from regions which are masked so, using the various masking tools available such as luminance thresholding, manual painting etc, it is straightforward to define the region required. Models are created in the industry standard STL format.
Work with orthogonal views
Apply masks and functions to transverse, sagittal and coronal views as desired.
Task list driven
The unique task-list orientated approach enables multiple masks, filters and other functions to be defined and applied consecutively. In this way, simple to complex and sophisticated masks can easily be produced. The functions in the task-list are executed in order. This means, for example, a mask can be defined using a thresholding function and a following painted mask can either further add to the mask or subtract from it.
Apply filters and functions
Choose from a variety of filters and morphological operations such as average, median, wiener, unsharp, dilation, erosion, opening, closing etc. These operations can help with the masking of noisy and low contrast images.
Automatic segmentation
Otso’s thresholding method is implemented to automatically segment the image or data-set into N classes.
Image and volume rotation
Rotate the image stack as desired and create a new ‘rotated’ data-set.