Three-dimensional image reconstruction software tools | Magnetic resonance imaging analysis
In recent years three dimensional (3D) imaging has played an important role in medicine. 3D imaging has shown real promises for medical applications in generaL The acquisition and manipulation of images by using non-invasive techniques is getting more and more important in diagnostic and therapy planning. Recent advances in drug therapy have prompted clinicians to seek more objective methods for assessing treatment efficacy and determining the best course of action for a given patient. Our primary focus is to manipulate two dimensional (2D) medical image data that often come in as Magnetic Resonance and reconstruct them into three dimensional (3D) volumetric images.
Provides solutions to users for viewing, modeling, and analyzing 3-D image data for structural biology. IMOD is designed for observing data from tomographic, serial section, and optical section reconstructions. Moreover, this program is also able to measure areas, volumes, and contour lengths, and to count objects of any model class.
Allows users to segment structures in 3D medical images. ITK-SNAP provides semi-automatic segmentation using active contour methods, as well as manual delineation and image navigation. It is an application providing a method to extract structures in 3D image data of different modalities and from different anatomical regions. Moreover, it permits users to link cursor for 3D navigation or to post-process the segmentation results.
A three-dimensional (3D) reconstruction and modeling software. Free-D allows to generate, process and analyze 3D point and surface models from stacks of 2D images. It is an integrated software tool, offering in a single graphical user interface all the functionalities required for 3D modeling.
Serves for three-dimensional design and modelling. Materialise Mimics is an image processing software that can be used for creating 3D surface models from stacks of 2D image data. It can calculate surface 3D models from stacked image data. This tool is useful to represent the patient’s anatomy in a virtual 3D model and to increase the quality patient care.
Allows analysis and visualization of medical images. InVesalius can be used to segment images. It is able to generate mesh terms, print 3D anatomic models or render volume. The tool can reconstruct computed tomography and magnetic resonance images. The researchers and developers can participate to the elaboration of the software.
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