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 |
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 |
20100014731 | Functional Image Presentation - A computer-implemented method of presenting an image of an object includes causing a computer to execute instructions for providing a signal distribution of values N, generating a transformed distribution by calculating, for each value N, a transformed value X=√{square root over (N+3/8)}, and outputting the transformed distribution. | 01-21-2010 |
20100014732 | Multimodal Image Reconstruction With Zonal Smoothing - Computer-implemented methods of reconstructing an image object for a measured object in object space from image data in data space cause a computer system to execute instructions for providing zonal information separating the object space into at least two zones, providing at least two zonal image objects, each zonal image object being associated with one of the at least two zones, performing a zonal smoothing operation on at least one of the zonal image objects, thereby generating at least one smoothed zonal image object, reconstructing the image object on the basis of the at least one smoothed zonal image object, and outputting the image object. | 01-21-2010 |
20100014733 | DETERMINING A MULTIMODAL PIXON MAP FOR TOMOGRAPHIC-IMAGE RECONSTRUCTION - A computer-implemented method includes causing a computer system to execute instructions for providing a first data set and a second data set, each derived from a common object, providing a first tomographic image object associated with the first data set providing a second tomographic image object associated with the second data set, generating a multimodal pixon map for pixon smoothing on the basis of the first data set, the first tomographic image object, the second data set, and the second tomographic image object, and outputting the multimodal pixon map. | 01-21-2010 |
20100014734 | Functional Image Quality Assessment - A computer-implemented method of assessing the quality of a functional image for an object includes causing a computer to execute instructions for providing a signal distribution of values N generating a transformed distribution by calculating, for each value N, a transformed value X=√{square root over (N+¼)}, reconstructing the functional image from the signal distribution, deriving an expected distribution of expected values A from the functional image, generating a residual distribution by calculating, for each value N, a residual values ΔX=X−√{square root over (λ)}, and outputting the residual distribution. | 01-21-2010 |
20100054393 | External Smoothing for Tomographic Image Reconstruction - Smoothing a first object, thereby creating a smoothed object having a smoothed value associated with each object point in object space, includes receiving the first object, determining, in a series of iteration steps, single-kernel-smoothed objects, wherein each iteration step includes based on the first object, determining a start object and smoothing the start object using a kernel function associated with the iteration step, thereby creating the single-kernel-smoothed object having single-kernel-smoothed values associated with each object point, and constructing the smoothed object from the single-kernel-smoothed values. | 03-04-2010 |
20100054564 | Reconstructing a Tomographic Image - 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 pixon smoothing operation, and following a last iteration, outputting one of the updated objects as the 3D image object. | 03-04-2010 |
20100308228 | Limiting viewing angles in nuclear imaging - Methods of nuclear imaging can include, in a pre-scan, detecting radiation emitted from a patient in a first plurality of viewing angles including at least a first viewing angle and a second viewing angle, generating nuclear data from the detected radiation, reconstructing a first nuclear event distribution from the nuclear data, selecting a region of interest, determining a first signal-to-noise ratio of the first nuclear event distribution within the region of interest, selecting a second plurality of viewing angles not including the first viewing angle, reconstructing a second nuclear event distribution from the nuclear data associated with the second plurality of viewing angles, determining a second signal-to-noise ratio of the second nuclear event distribution within the region of interest, determining that the second signal-to-noise ratio is greater than or equal to the first signal-to-noise ratio, and nuclear imaging the patient by detecting nuclear data based on a nuclear imaging process that is based on the second plurality of viewing angles. | 12-09-2010 |
20100308817 | ADAPTING ACQUISITION TIME IN NUCLEAR IMAGING - Methods of determining an acquisition time adapted to a region of interest for a nuclear imaging process of a patient include detecting radiation from at least a first viewing angle during a first test amount of time, generating first test data from the detected radiation, reconstructing a nuclear event distribution from the first test data, determining a test signal-to-noise ratio for the reconstructed nuclear event distribution within the region of interest, and determining the acquisition time using the test signal-to-noise ratio and the first test amount of time. | 12-09-2010 |
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 |
20120119096 | Method and Apparatus for Using Image Cumulative Distribution Function for Tomographic Reconstruction Quality Control - Methods and apparatuses for quality control in image space for processing with an input data set are disclosed. A method includes providing an image object, including multiple voxels, and an input data set. A data model is determined from the image object. A cumulative distribution function (CDF) for the input data set is determined from the data model and the input data set based on a plurality of projections. The CDF is transformed to an image cumulative distribution function (ICDF) in object space. The ICDF represents a number of standard deviations associated with each voxel of the image object. The output of the ICDF is displayed. A nuclear imaging system and a computer readable storage medium are also disclosed. Techniques disclosed herein facilitate efficient quality control for tomographic image reconstruction. | 05-17-2012 |
20120263393 | Method to Determine A Pixon Map in Interactive Image Reconstruction and Spectral Analysis - A method for iterative reconstruction of an object containing noise using the pixon method determines the pixon map from a variable that is used to update the object in the iteration. The updating variable is based on an optimized merit function, and smoothes the updating variable during each iteration. The updating variable depends on the reconstruction method, but is typically a gradient of a merit function or a multiplicative update factor. The updated object can optionally also be further smoothed at the end of the iteration, using the pixon map determined during the iteration. | 10-18-2012 |
20130034286 | Registration of Emission Tomography and Computed Tomography - Emission tomography is registered with computed tomography or other modality in reconstruction. The anatomical information is used in the emission tomography reconstruction. In addition to an initial registration to use the anatomical information in the reconstruction, the registration is refined one or more times during other iterations refining the reconstruction of the emission volume. The registration is performed as part of the reconstruction. This multi-modal reconstruction may result in an emission tomography volume better aligned with the anatomical information. | 02-07-2013 |
20140029830 | MULTIMODAL IMAGE RECONSTRUCTION - Computer-implemented methods of reconstructing an image object for a measured object in object space from image data in data space include causing a computer to execute instructions for providing zonal information separating the object space into at least two zones, providing at least two zonal image objects, each zonal image object being associated with one of the at least two zones, reconstructing the image object using a data model derived from forward projecting the zonal image objects into data space, wherein the contribution of each zonal image object to the data model is weighted according to a zonal scaling factor, and outputting the image object. | 01-30-2014 |
20150081262 | METHOD AND SYSTEM FOR STATISTICAL MODELING OF DATA USING A QUADRATIC LIKELIHOOD FUNCTIONAL - A method and system are provided for constructing a model of a target object in a computer processor by receiving an input signal from a source, the input signal containing data describing the target object and a plurality of parameters, the input signal having a noise portion; selecting a group of initial parameters, estimating a nonparametric probability distribution function (pdf) comprising a linear combination of a set of square-integrable basis functions, computing a quadratic likelihood functional (QLF), evaluating a fit of the initial parameters to the data based on the QLF, iteratively optimizing the QLF by selecting a new group of parameters and evaluating the fit of the new group of parameters into a predetermined condition is achieved. Once an acceptable fit is achieved, an output of a model of the target object constructed using optimized parameters can be displayed. | 03-19-2015 |