Abstract: A convergence guaranteed image reconstruction method and apparatus that may compute an initial reconstruction image based on a plurality of sinograms, generate a patch-based low rank regularization image based on the initial reconstruction image, and generate a desired reconstruction image by updating the initial reconstruction image based on the patch-based low rank regularization image and an intensity lookup table.

Abstract: An apparatus for capturing a radiation image of a subject including at least two materials includes a radiation irradiating unit configured to irradiate multi-energy radiation including at least two energy bands to a calibration model including a plurality of thicknesses of each of the at least two materials; an attenuation-coefficient estimating unit configured to estimate attenuation coefficients for each of the at least two materials for each of the at least two energy bands based on values obtained by passing the multi-energy radiation through the calibration model; and an energy-band determining unit configured to determine an optimal combination of at least two energy bands to be included in multi-energy radiation to be irradiated to the subject from a plurality of different combinations of at least two energy bands based on the estimated attenuation coefficients and the values obtained by passing the multi-energy radiation through the calibration model.

Abstract: A nano-scale resolution fluorescence microscopy system and a method of obtaining an image using the nano-scale resolution microscopy system, and more particularly, a method and a microscopy system, capable of observing fluorescence probes in high resolution by radiating an irregular diffused light to have an incoherent speckle pattern that has low correlation in an adjacent space are disclosed. According to embodiments of the present invention, a diffraction limit of a fluorescence microscope may be overcome, and a super high resolution image on a nanometer scale may be obtained.

Abstract: An apparatus and method of reconstructing a three-dimensional (3D) image from two-dimensional (2D) images are disclosed. Three dimensional (3D) data may be reconstructed in an x-ray generation tube at a limited angle, and repeatedly updated for each pixel. A median from among each pixel of reconstruction data may be selected. Backprojecting may be performed using a search direction weight calculated using a reprojection image and residual image. A 3D image satisfying a Level 1 (L1) norm fidelity and sparsity constraint of the reconstruction data may be reconstructed.

Abstract: A method and apparatus for reconstructing an image by generating a scatter-corrected sinogram are provided. In the reconstructed image in which initial scattering is not corrected, a emission position of a photon is determined. A graphics processing unit (GPU) calculates migration of the photon using a Monte-Carlo simulation. A 3-dimensional (3D) line of response (LoR) may be calculated through a position in which the photon reaches a detector. The calculated LoR may be converted into a 3D sinogram form and stored in a prompt sinogram and a scatter-corrected sinogram. A final scatter-corrected sinogram may be generated by adjusting a scale of the scatter-corrected sinogram.

Abstract: An apparatus for capturing a radiation image of a subject including at least two materials includes a radiation irradiating unit configured to irradiate multi-energy radiation including at least two energy bands to a calibration model including a plurality of thicknesses of each of the at least two materials; an attenuation-coefficient estimating unit configured to estimate attenuation coefficients for each of the at least two materials for each of the at least two energy bands based on values obtained by passing the multi-energy radiation through the calibration model; and an energy-band determining unit configured to determine an optimal combination of at least two energy bands to be included in multi-energy radiation to be irradiated to the subject from a plurality of different combinations of at least two energy bands based on the estimated attenuation coefficients and the values obtained by passing the multi-energy radiation through the calibration model.

Abstract: Provided is a method and apparatus for support recovery of jointly sparse signals from a plurality of snapshots, thereby enhancing a capability for reconstructing a support in a variety of circumstances, by providing enhanced robustness against noise and perturbation, and/or enhanced computational efficiency. The method may include partial support recovery using a compressed sensing-multiple measurement vector (CS-MMV) scheme; and a complementary support recovery and sparsity level estimation. The complementary support recovery may use subspace information extracted from the plurality of snapshots and partial support information. The total number of elements in the partial support and in the complementary support may be equal to the sparsity level.

Abstract: A nano-scale resolution fluorescence microscopy system and a method of obtaining an image using the nano-scale resolution microscopy system, and more particularly, a method and a microscopy system, capable of observing fluorescence probes in high resolution by radiating an irregular diffused light to have an incoherent speckle pattern that has low correlation in an adjacent space are disclosed. According to embodiments of the present invention, a diffraction limit of a fluorescence microscope may be overcome, and a super high resolution image on a nanometer scale may be obtained.

Abstract: Disclosed is a high-resolution image reconstruction method using a focal underdetermined system solver (FOCUSS) algorithm. The method comprises the steps of: outputting data for an image of an object; downsampling the outputted data; transforming the downsampled data into low-resolution image frequency data; and reconstructing a high-resolution image from the transformed low-resolution image frequency data by applying focal underdetermined system solver (FOCUSS) algorithm.

Abstract: An apparatus and method of reconstructing a three-dimensional (3D) image from two-dimensional (2D) images are disclosed. Three dimensional (3D) data may be reconstructed in an x-ray generation tube at a limited angle, and repeatedly updated for each pixel. A median from among each pixel of reconstruction data may be selected. Backprojecting may be performed using a search direction weight calculated using a reprojection image and residual image. A 3D image satisfying a Level 1 (L1) norm fidelity and sparsity constraint of the reconstruction data may be reconstructed.

Abstract: A method for extracting information of a cardiac cycle from projection data is presented. The method provides for acquiring one or more sets of computed tomography (CT) projection data. Further, the method includes analyzing the one or sets of CT projection data to obtain a center of cardiac mass. Also, the method provides for estimating raw motion data representative of the motion of the center of cardiac mass from the one or more sets of CT projection data. In addition, the method includes processing the center of mass through time to extract a motion signal from the raw projection data. Also, the method provides for extracting the periodicity information from the motion signal.

Abstract: Disclosed is a high-resolution image reconstruction method using a focal underdetermined system solver (FOCUSS) algorithm. The method comprises the steps of: outputting data for an image of an object; downsampling the outputted data; transforming the downsampled data into low-resolution image frequency data; and reconstructing a high-resolution image from the transformed low-resolution image frequency data by applying focal underdetermined system solver (FOCUSS) algorithm.

Abstract: A system and method are disclosed that provide an advanced design of coded video packets using a resynchronization maker for video transmission applications. The resynchronization marker has a fixed ranged bit length within each video object plane or video frame and is cyclically updated video frame by video frame. This coded video packet structure allows decoders to automatically find the video object plane boundary without additional bit stream overhead. This has a particular advantage when a video object plane header is lost during transmission.

Abstract: A method for reconstructing image data from measured sinogram data acquired from a CT system is provided. The CT system is configured for industrial imaging. The method includes pre-processing the measured sinogram data. The pre-processing includes performing a beam hardening correction on the measured sinogram data and performing a detector point spread function (PSF) correction and a detector lag correction on the measured sinogram data. The pre-processed sinogram data is reconstructed to generate the image data.

Abstract: A technique is provided for CT reconstruction for use in CT metrology. The boundary based CT reconstruction method includes the steps of initializing a boundary of an object to obtain a boundary estimate, defining a forward model based on the boundary estimate, linearizing the forward model to obtain a system matrix and implementing an iterative image reconstruction process using the system matrix to update the boundary estimate.

Abstract: A video coding system and method for coding an input frame in which the evolution of discrete cosine transform (DCT) coefficients is modeled as a Laplace-Markov process, the system comprising: a base layer processing system for generating a base layer reconstruction; an enhancement layer processing system for generating an enhancement layer reconstruction; and an entropy constrained scalar quantizer (ECSQ) system for descritizing a prediction residual between the input frame and an estimation theoretic (ET) prediction output; wherein the ECSQ system utilizes an ECSQ that comprises a uniform threshold quantizer with a deadzone size defined by the equation: ? ? ( ? , t * ) = 2 ? ( 1 1 - ? 2 ? ? t * - 1 ) , where ? ? ? ? ( ? , ? ) = ( ? ? - 1 ) ? exp ? { - ? ? [ d ? ( ? - ? ? ( ? ) ) - d ? ( - ? ) d ? ( ? - ? ? ( ? ) ) - d ? ( - ? ? ( ? ) ) ] } ? .

Abstract: A system and method are disclosed that provide a simple and efficient layered video coding technique using a backward adaptive rate-distortion optimized data partitioning (RD-DP) of DCT coefficients. The video coding system may include an rate-distortion optimized data partitioning encoder and decoder. The RD-DP encoder adapts the partition point block-by-block which greatly improves the coding efficiency of the base layer bit stream without explicit transmission thereby saving the bandwidth significantly. The RD-DP decoder can also find the partition location in backward-fashion from the decoded data.

Abstract: A scalable decoder system having a decoder reconstruction system, wherein the decoder reconstruction system comprises: an estimation algorithm x ~ i , n e = a i , n + E Z ? { d i , n ? ( ? ; x ~ i , n - 1 e + Z ) } for estimating a lost discrete cosine transform (DCT) coefficient, which incorporates the quantization noise of previous enhancement layer data into the expectation, wherein the estimation algorithm includes a density distribution dependent on at least one unknown parameter {circumflex over (?)}l; and a parameter estimation algorithm for estimating {circumflex over (?)}l according to the equation: ? ^ l = - log ? ( 1 - P ^ l ) b l , wherein bl denotes each of a set of quantizer decision levels l, and {circumflex over (P)}l is the sum of a set of a normalized frequency of occurrences of data quantized to each quantizer decision level 1,2, . . . , l.

Abstract: A system and method are disclosed that provide a single layer bit stream syntax with advanced DCT data partitioning designed to combat bit error and packet losses during transmission. The bit stream syntax may be used as a single layer bit stream or may be used to de-multiplex video packets into base and enhancement layers in order to allow unequal error protection. One advantage of this syntax is that the de-multiplexing and merging of received video packets is made simple while allowing for flexible bit allocation for the base and enhancement layers.

Abstract: Disclosed is a high-resolution image reconstruction method using a focal underdetermined system solver (FOCUSS) algorithm. The method comprises the steps of: outputting data for an image of an object; downsampling the outputted data; transforming the downsampled data into low-resolution image frequency data; and reconstructing a high-resolution image from the transformed low-resolution image frequency data by applying focal underdetermined system solver (FOCUSS) algorithm.