Introduction
Mimics interfaces between scanner data (CT, MRI, Technical scanner, ...) and Rapid Prototyping, STL file format, CAD and Finite Element analysis. The Mimics software is an image-processing package with 3D visualization functions that interfaces with all common scanner formats.
Additional modules provide the interface towards Rapid Prototyping using STL or direct layer formats with support. Alternatively, an interface to CAD (design of custom made prosthesis and new product lines based on image data) or to Finite Element meshes is available.
Materialise's Interactive Medical Image Control System (MIMICS) is an interactive tool for the visualization and segmentation of CT images as well as MRI images and 3D rendering of objects. Therefore, in the medical field Mimics can be used for diagnostic, operation planning or rehearsal purposes. A very flexible interface to rapid prototyping systems is included for building distinctive segmentation objects.
The software enables the user to control and correct the segmentation of CT-scans and MRI-scans. For instance, image artifacts coming from metal implants can easily be removed. The object(s) to be visualized and/or produced can be defined exactly by medical staff. No technical knowledge is needed for creating on screen 3D visualizations of medical objects (a cranium, pelvis, etc.)
Separate software is available to define and calculate the necessary data to build the medical object(s) created within Mimics on all rapid prototyping systems.
Mimics is a general-purpose segmentation program for gray value images. It can process any number of 2D image slices (rectangular images are allowed). The only restriction is the physical memory of your computer.
The interface created to process the images provides several segmentation and visualization tools.
Segmentation tools
In Mimics, segmentation masks are used to highlight regions of interest. Mimics enables you to define and process images with up to 16 coloured segmentation masks.
To create and modify these masks following functions are used:
Thresholding:
Thresholding is the first action performed to create a segmentation mask. You can select a region of interest by defining a range of gray values. The boundaries of that range are the lower and upper threshold value. All pixels with a gray value in that range will be highlighted in a mask.
Region Growing:
Region growing will eliminate noise and separate structures that are not connected.
Editing (Draw, Erase, Local Threshold):
Manual editing functions make it possible to draw, erase or restore parts of images with a local threshold value. Editing is typically used for eliminating artifacts and to separate structures.
Dynamic Region Growing:
Dynamic region growing segments an object based on the connectivity of gray values in a certain gray value range. It allows for easy segmentation of tendons and nerves in CT images as well as providing an overall useful tool for working with MRI images.
Morphology Operations:
Morphology operations act on the 'form' of a segmentation mask (Erode, Dilate, Open and Close). All these functions remove or add pixels from the source mask and copy the results to a target mask. This tool is extremely effective when working with MRI images.
Boolean Operations:
Boolean operations allow you to make different combinations of two segmentation masks (subtraction, union and intersection). These operations are very useful for reducing the work needed to separate two joints.
Cavity Fill:
Cavity fill fills the internal gaps of a selected mask and copies the result to a new mask. The filling process can be applied in 2D or 3D.
Cavity Fill from Polylines:
Cavity fill from polylines, creates a masker by filling every polyline of a polyline set. This way only the outer polylines remain and all internal holes are filled.
Visualization & measurement tools
Visualization:
Mimics displays the CT or MRI image data in several ways, each providing unique information. Mimics divides the screen into three views: the original axial view of the image and resliced data making up the coronal and sagittal views. Mimics includes several visualization functions like contrast enhancement, panning, zooming and rotating of calculated 3D images.
3D Rendering and 3D information:
Mimics provides a flexible interface for quickly calculating a 3D model of the region of interest. Therefore you can set parameters for resolution and filtering. Information about height, width, volume, surface, etc. is available for every 3D model. Mimics can display the 3D model in the sagittal view with visualization functions that include real-time rotation, pan, zoom and the ability to apply transparency.
Measurements:
Point to point:
With Mimics, you can perform point-to-point measurements on both the 2D slices and the 3D reconstructions.
Profile line and gray value measurement:
A profile line displays an intensity profile of the gray values along a user-defined line. You can make accurate measurements based on the gray values using three methods: the threshold method, the four-point method and the four-interval method. These methods are ideal for technical CT-users.
Angles:
By representing an angle with 3 points, it is possible to calculate angle measurements.
Density:
The density of an area inside an ellipse or a rectangle can be measured and displayed along with the mean and standard deviation.
Project Management:
The Project Management dialog provides an ideal way to organize and interact with the data (segmentation masks, 3D renderings, polylines, objects, measures and STL) and their properties.
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