Dynamic reconstruction and rendering of 3d tomosynthesis images

In this example, a set of reconstruction steps is defined as the performance of steps and as these steps may be iteratively performed numerous times, each time resulting in the reconstruction of a single image.

Additionally, as the art of digital tomosynthesis and image processing advances, additional preprocessing steps may be added.

RELATED APPLICATIONS AND CLAIM OF PRIORITY

In prior art, the planes of reconstruction are fixed, while in DRR the plane of reconstruction is arbitrary. A second advantage of BFP is, by filtering after reconstruction, the reconstructed image contains all the imaging information from the projection images so that statistical conditioning and non-linear filters may be applied to the reconstructed image.

The method of claim 1, further comprising saving the 3D tomographic image in the memory such that a user may access and view the 3D tomographic image.

Dynamic Reconstruction and Rendering of 3D Tomosynthesis Images

The method includes the steps of loading a set of projection images into a memory device, determining a reconstruction method for the set of projection images, applying any necessary preprocessing, reconstructing a 3D tomographic image from the set of projection images to be displayed to a user; and performing any post reconstruction processing on the 3D tomographic image.

SUMMARY This document describes a technique for dynamically reconstructing and viewing three-dimensional 3D tomographic images, a method for directly reconstructing 3D tomographic images from projection images acquired in tomosynthesis or tomography. A more accurate method accounts for the divergent nature of projection radiography.

In prior art, zooming may be achieved in two different ways. In DRR, the ROI is dynamically selectable by the user, for example by specifying the image pan, zoom and depth settings. In these cases, the primary x-rays from an x-ray source would not interact with the detector and, as a result, no valid information is recorded in the detector at those locations.

The following preprocessing steps are therefore shown only by way of example. In a typical embodiment, DRR is implemented on a computer with an interactive GUI much like other medical viewing software the GUI contains the window s in which image s are displayed and the interface that permits the user to enter commands and information into the computer through input devices such as a keyboard or a pointing device.

After preprocessing, the algorithm proceeds to step where the image is backprojected. As a result, a delay in the diagnosis will occur while the physician waits for the reconstruction to complete and the resultant data are transmitted to the review workstation.

The third method includes the steps of loading said set of projection images into memory, selecting a region of interest, applying any necessary preprocessing, selecting a reconstruction method, reconstructing an image according to said reconstruction method to produce a 3D tomographic image focusing on said region of interest, performing any post reconstruction processing on the 3D tomographic image, and rendering said 3D tomographic image on a display.

RELATED APPLICATIONS AND CLAIM OF PRIORITY

It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to limit the scope of the present disclosure which will be limited only by the appended claims.

Also, the spacing and location of the x-ray foci F can be arbitrary. In addition, new generation GPUs offer programmability at floating point precision.

Following the post-processing in stepthe image is rendered and displayed at step In DRR, a 3D tomosynthesis or tomographic image is reconstructed in real-time and on-demand using the region of interest ROIthe parameters for reconstructing the image and the display settings selected by the user within an interactive graphical user interface GUI.

In traditional tomosynthesis or tomography, several methods are used to reconstruct 3D images. However, each of these reconstruction methods has drawbacks including poor image quality, lengthy computational time, and extensive required filtering.

The result is that an object that is centered between the two reconstructed slices is blurred. In another general respect the embodiments disclose a third method of dynamically reconstructing 3D tomographic images from a set of projection images.Jul 31,  · A method of dynamically reconstructing three dimensional (3D) tomographic images from a set of projection images is disclosed.

The method includes the steps of loading a set of projection images into a memory device, determining a reconstruction method for the set of projection images, reconstructing a 3D tomographic image from the set of projection images to be displayed to a user;. A method of dynamically reconstructing three dimensional (3D) tomographic images from a set of projection images is disclosed.

The method includes the steps of loading a set of projection images into a memory device, determining a reconstruction method for the set of projection images, reconstructing a 3D tomographic image from the set of projection images.

Dynamic reconstruction and rendering of 3D tomosynthesis images By leveraging the computational efficiency gains afforded by off-the-shelf GPU hardware, tomosynthesis reconstruction can be performed on demand at real-time, user-interactive frame rates.

Dynamic Reconstruction and Rendering (DRR) is a fast and flexible tomosynthesis image reconstruction and display implementation. By leveraging the. Dynamic Reconstruction and Rendering (DRR) is a fast and flexible tomosynthesis image reconstruction and display implementation.

By leveraging the computational efficiency gains afforded by off. A method of dynamically reconstructing three dimensional (3D) tomographic images from a set of projection images is disclosed. The method includes the steps of loading a set of projection images into a memory device, determining a reconstruction method for the set of projection images, reconstructing a 3D tomographic image from the set of projection images to be displayed to a user; and.

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Dynamic reconstruction and rendering of 3d tomosynthesis images
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