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Tomographic reconstruction: Projection, Back projection and Filtered back projection. Tomographic reconstruction is a type of multidimensional inverse problem where the challenge is to yield an estimate of a specific system from a finite number of projections. The mathematical basis for tomographic imaging was laid down by Johann Radon.
The 3D reconstruction of objects is a generally scientific problem and core technology of a wide variety of fields, such as Computer Aided Geometric Design , computer graphics, computer animation, computer vision, medical imaging, computational science, virtual reality, digital media, etc. [3] For instance, the lesion information of the ...
3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes. The essence of an image is a projection from a 3D scene onto a 2D plane, during which process the depth is lost.
In scientific visualization, a maximum intensity projection (MIP) is a method for 3D data that projects in the visualization plane the voxels with maximum intensity that fall in the way of parallel rays traced from the viewpoint to the plane of projection.
In learned iterative reconstruction, the updating algorithm is learned from training data using techniques from machine learning such as convolutional neural networks, while still incorporating the image formation model. This typically gives faster and higher quality reconstructions and has been applied to CT [4] and MRI reconstruction. [5]
In most studies, the predominant data reconstruction approach is the 'reverse analysis' introduced by Bleuet et al. [9] where each sinogram is treated independently yielding a new CT image. Most often the filtered back projection reconstruction algorithm [10] is employed to reconstruct the XRD-CT images.
Cone-beam CT is commonly found in medical fluoroscopy equipment; by rotating the fluoroscope around the patient, a geometry similar to CT can be obtained, and by treating the 2D X-ray detector in a manner similar to a CT detector with a massive number of rows, it is possible to reconstruct a 3D volume from a single rotation using suitable software.
3D rendering of a micro CT of a treehopper. 3D rendering of a μCT scan of a leaf piece, resolution circa 40 μm/voxel. Two phase μCT analysis of Ti2AlC/Al MAX phase composite [ 1 ] In radiography , X-ray microtomography uses X-rays to create cross-sections of a physical object that can be used to recreate a virtual model ( 3D model ) without ...