Abstract: A brain-function image data augmentation method includes: a step of providing a target database including a plurality of image-data information; a step of, based on a plurality of image-data expected information in an expectation-value database, calculating a ratio of the plurality of image-data expected information with respect to different ages; a step of, based on the plurality of image-data information and the ratio, obtaining image-data ratio information with respect to an estimated age; a step of establishing a relationship for each pair of the image-data information and the image-data expected information; a step of, based on the relationship, the ratio and the image-data information, calculating an estimated image-data information with respect to the estimated age; and, a step of combining linearly the estimated image-data information and the image-data ratio information so as to generate an augmented image-data information with respect to the estimated age.

Abstract: A geometric calibration method for dual-axis digital tomosynthesis includes the steps of: providing a calibration phantom having a first plate, a second plate parallel to the first plate, and mark points distributed to the first and second plates; arranging any mark point at the first plate not to be vertically collinear with a mark point at the second plate; projecting the calibration phantom onto a planar detector to obtain a projected calibration-phantom image; deriving a conversion relationship between the mark point and the corresponding projected position at the planar detector to further establish a projection matrix related to an imaging system; and, applying the projection matrix to calculate a plurality of geometric parameters. In addition, a geometric calibration system for dual-axis digital tomosynthesis is also provided.

Abstract: A brain-function image data augmentation method includes: a step of providing a target database including a plurality of image-data information; a step of, based on a plurality of image-data expected information in an expectation-value database, calculating a ratio of the plurality of image-data expected information with respect to different ages; a step of, based on the plurality of image-data information and the ratio, obtaining image-data ratio information with respect to an estimated age; a step of establishing a relationship for each pair of the image-data information and the image-data expected information; a step of, based on the relationship, the ratio and the image-data information, calculating an estimated image-data information with respect to the estimated age; and, a step of combining linearly the estimated image-data information and the image-data ratio information so as to generate an augmented image-data information with respect to the estimated age.

Abstract: A tomography method includes: a step of having a photon counting detector to undergo a relative motion with respect to an X-Ray source, and capturing 2×N projected energy spectral data at 2×N individual discrete projection angles that divide the relative motion, the N being a positive integer; a step of reforming the 2×N projected energy spectral data at the 2×N individual discrete projection angles and establishing corresponding projection intensity data; and, a step of basing on the projection intensity data and the 2×N projected energy spectral data at the 2×N individual discrete projection angles to calculate the material decomposition images. In addition, a tomography system is also provided.

Abstract: A tomography method includes: a step of having a photon counting detector to undergo a relative motion with respect to an X-Ray source, and capturing 2×N projected energy spectral data at 2×N individual discrete projection angles that divide the relative motion, the N being a positive integer; a step of reforming the 2×N projected energy spectral data at the 2×N individual discrete projection angles and establishing corresponding projection intensity data; and, a step of basing on the projection intensity data and the 2×N projected energy spectral data at the 2×N individual discrete projection angles to calculate the material decomposition images. In addition, a tomography system is also provided.

Abstract: A reduction method for a boundary artifact on the tomosynthesis includes steps of performing a projection process, performing a back projection process upon the geometric factor matrix so as to obtain a back-projection geometric factor matrix, and adjusting a boundary area of the back-projection geometric factor matrix.

Abstract: A reduction method for a boundary artifact on the tomosynthesis includes steps of performing a projection process, performing a back projection process upon the geometric factor matrix so as to obtain a back-projection geometric factor matrix, and adjusting a boundary area of the back-projection geometric factor matrix.

Abstract: A projection method of three-dimensional imaging includes the steps of respectively projecting a radiation field emitted from a radiation source with respect to one specific detector of a plurality of detectors and a three-dimensional sub-voxel onto two two-dimensional planes; rotating the specific detector to one specific axis of the two dimensional plane; performing a calculation for obtaining a sub-geometric factor corresponding to each specific detector and each voxel; and, finally, forming a geometric factor by combining each sub-geometric factor defined by each detector and each voxel.

Abstract: A projection method of three-dimensional imaging includes the steps of respectively projecting a radiation field emitted from a radiation source with respect to one specific detector of a plurality of detectors and a three-dimensional sub-voxel onto two two-dimensional planes; rotating the specific detector to one specific axis of the two dimensional plane; performing a calculation for obtaining a sub-geometric factor corresponding to each specific detector and each voxel; and, finally, forming a geometric factor by combining each sub-geometric factor defined by each detector and each voxel.

Abstract: The present invention provides a projection method of 3D ray tracing, so as to construct a geometric factor required for the reconstruction of a medical image in the imaging field. The present invention mainly projects a radiation field and a voxel detected by each detector on two 2D planes, then calculates the geometric ratio of a rectangular unit, corresponding to each voxel on the two 2D planes, to the radiation field, respectively, and multiplies the geometric ratios to obtain a sub-geometric factor with respect to the voxel. The sub-geometric factors gij of all voxels i corresponding to all detectors j are combined to form a geometric factor matrix Gij.

Abstract: The invention provides a method for improving image quality. Through applying variation value during operation of iterated algorithm, this invention can reduce blur phenomenon caused by partial volume effects and improve image accuracy. In an embodiment, by applying the algorithm utilized in the method for improving image quality, this invention further provides an imaging system to detect the distribution of the object, thereby obtaining a clear restored image corresponding to the radiation source.

Abstract: The present invention provides a projection method of 3D ray tracing, so as to construct a geometric factor required for the reconstruction of a medical image in the imaging field. The present invention mainly projects a radiation field and a voxel detected by each detector on two 2D planes, then calculates the geometric ratio of a rectangular unit, corresponding to each voxel on the two 2D planes, to the radiation field, respectively, and multiplies the geometric ratios to obtain a sub-geometric factor with respect to the voxel. The sub-geometric factors gij of all voxels i corresponding to all detectors j are combined to form a geometric factor matrix Gij.

Abstract: The invention provides a method for improving image quality. Through applying variation value during operation of iterated algorithm, this invention can reduce blur phenomenon caused by partial volume effects and improve image accuracy. In an embodiment, by applying the algorithm utilized in the method for improving image quality, this invention further provides an imaging system to detect the distribution of the object, thereby obtaining a clear restored image corresponding to the radiation source.

Abstract: The present invention provides a method for identifying and sorting sensing signals with respect to crystal locations of a scintillation detector, comprising steps of: (a) providing a crystal map detected by a crystal array, the crystal map having a plurality of peak points, each being represented by a coordinate location; (b) finding a basis point with respect to a specific area enclosing an amount of the peak points within the crystal map; (c) determining the peak point within the specific area having the shortest distance to the basis point, the peak point corresponding to a crystal element of the crystal array; (d) changing the location of the specific area; and (e) repeating steps (b) to (d) for a plurality of times to find all the crystal elements with respect to the peak points respectively.

Abstract: The present invention provides a method for identifying and sorting sensing signals with respect to crystal locations of a scintillation detector, comprising steps of: (a) providing a crystal map detected by a crystal array, the crystal map having a plurality of peak points, each being represented by a coordinate location; (b) finding a basis point with respect to a specific area enclosing an amount of the peak points within the crystal map; (c) determining the peak point within the specific area having the shortest distance to the basis point, the peak point corresponding to a crystal element of the crystal array; (d) changing the location of the specific area; and (e) repeating steps (b) to (d) for a plurality of times to find all the crystal elements with respect to the peak points respectively.