Patent application number | Description | Published |
20080270465 | NNLS Image Reconstruction - In an aspect, reconstructing an image object associated with an input data set, includes for each step, in a series of iteration steps, determining an updated object from an input object based on a data model of the input object, a weighting-factor data set, and a gradient object, wherein the weighting-factor data set includes modified entries of the input data set. Reconstructing the image object further includes following a last iteration, outputting one of the updated objects as the image object. | 10-30-2008 |
20080272304 | Tracking region-of-interest in nuclear medical imaging and automatic detector head position adjustment based thereon - A method and system for automatically identifying and tracking a ROI over all planar acquisition view angles of a nuclear imaging system, such as a gamma camera used for SPECT or planar imaging. Temporal intensity variation in emission projection imaging is measured to identify a region of interest (ROI) such as the myocardium. The method automatically tracks the location of the ROI over different planar view angles and adapts detector head orbit and positioning to bring the ROI within a predefined preferred area or so-called “sweet spot” within the FOV of a collimator attached to the front of a scintillation detector surface. After initial positioning of the detector head by the user, the system automatically tracks the ROI location as the detector head(s) rotate about the patient and re-position the detector head(s) appropriately to maintain the ROI within the optimal collimation area of the detector FOV. | 11-06-2008 |
20090110254 | External Pixon Smoothing for Tomographic Image Reconstruction Technical Field - In an aspect, tomographically reconstructing a 3D image object corresponding to a data set includes reconstructing a first reconstructed object from the data set, receiving a smoothing map, smoothing the first reconstructed object based on the smoothing map thereby creating a first smoothed object, and outputting the first smoothed object as the 3D image object. | 04-30-2009 |
20090110255 | Reconstructing a Tomographic Image - In an aspect, tomographically reconstructing a 3D image object corresponding to a data set includes for each step in a series of iteration steps, determining an updated object by performing a combined operation, which includes performing an update operation for updating an input object and performing a smoothing operation, and following a last iteration, outputting one of the updated objects as the 3D image object. | 04-30-2009 |
20090110321 | Determining a Pixon Map for Image Reconstruction - Determining a pixon map for pixon smoothing of an object based on a data set includes receiving the data set and an input object associated to the data set. Determining a pixon map further includes determining, in a series of steps, statistical objects for a set of pixon kernel functions, wherein each step includes selecting a pixon kernel function from the set of pixon kernel functions, smoothing the input object on the basis of the selected pixon kernel function, thereby creating a smoothed object, and determining the statistical object for the selected pixon kernel function on the basis of the smoothed object, the data set, and a Mighell-like statistical weight. Determining a pixon map further includes determining contributions of the pixon kernel functions to the pixon map based on the statistical objects and assigning values to the pixon map corresponding to the contributions of the pixon kernel functions. | 04-30-2009 |
20090112530 | Controlling the Number of Iterations in Image Reconstruction - An iterative reconstruction method to reconstruct an object includes determining, in a series of iteration steps, updated objects, wherein each iteration step includes determining a data model from an input object, and determining a stop-criterion of the data model on the basis of a chi-square-gamma statistic. The method further includes determining that the stop-criterion of the data model has transitioned from being outside the limitation of a preset threshold value to being inside the limitation, ending the iterations, and selecting one of the updated objects to be the reconstructed object. | 04-30-2009 |
20120076376 | Controlling the Number of Iterations in Image Reconstruction - An iterative reconstruction method to reconstruct an object includes determining, in a series of iteration steps, updated objects, wherein each iteration step includes determining a data model from an input object, and determining a stop-criterion of the data model on the basis of a chi-square-gamma statistic. The method further includes determining that the stop-criterion of the data model has transitioned from being outside the limitation of a preset threshold value to being inside the limitation, ending the iterations, and selecting one of the updated objects to be the reconstructed object. | 03-29-2012 |
20120076389 | Controlling the Number of Iterations in Image Reconstruction - An iterative reconstruction method to reconstruct an object includes determining, in a series of iteration steps, updated objects, wherein each iteration step includes determining a data model from an input object, and determining a stop-criterion of the data model on the basis of a chi-square-gamma statistic. The method further includes determining that the stop-criterion of the data model has transitioned from being outside the limitation of a preset threshold value to being inside the limitation, ending the iterations, and selecting one of the updated objects to be the reconstructed object. | 03-29-2012 |