摘要:
In order to execute a high-resolution reconstructible distance-driven back projection process and to generate a high-resolution tomographic image, an X-ray CT apparatus 1 determines the presence/absence of opposing data corresponding to each piece of target data on the basis of scanning conditions, and calculates a phase range where opposing data is present (Step 21). The X-ray CT apparatus 1 performs high-resolution conversion of a zero-insertion method on a phase range where opposing data is present, and performs high-resolution conversion using a data interpolation method on a phase range where no opposing data is present, thereby creating double sampled high-resolution projection data, and calculates a view weight (Step 22). The X-ray CT apparatus 1 performs a distance-driven high-resolution back projection process using high-resolution projection data and generates a reconstructed image (Step 23).
摘要:
To provide an image reconstruction device capable of creating an image with image quality matching the operator's request when a cross-sectional image is reconstructed through a repeated calculation, the image reconstruction device which performs a repeated calculation on the basis of a difference between calculated projection data and measured projection data, the calculated projection data being obtained by performing a forward projection calculation on a reconstructed image which is reconstructed based on the measured projection data, includes an input section to which an image quality parameter which is considered to be important by an operator is input, a weight calculation section that calculates a weighting coefficient on the basis of the image quality parameter, and a repeated calculation section that performs a repeated calculation on the basis of a value obtained by weighting and adding a pixel value obtained in the previous iteration to a pixel value obtained from now using the weighting coefficient.
摘要:
In order to provide a reconstruction computing device, a reconstruction computing method, and an X-ray CT apparatus capable of improving the image quality while reducing the amount of computation when reconstructing an X-ray CT image using an iterative method, a reconstruction computing device divides an initial image 50 reconstructed using an analytical method such as an FBP method into a bed region 51, an object region 52, and the other air region 53, sets reconstruction conditions including at least convergence conditions and a pixel size for each of the divided regions, updates estimation images by performing an iterative process, and fixes estimation images or forward projection data of a subset satisfying the convergence conditions until other subsets satisfy the convergence conditions.
摘要:
To provide an image reconstruction device capable of creating an image with image quality matching the operator's request when a cross-sectional image is reconstructed through a repeated calculation, the image reconstruction device which performs a repeated calculation on the basis of a difference between calculated projection data and measured projection data, the calculated projection data being obtained by performing a forward projection calculation on a reconstructed image which is reconstructed based on the measured projection data, includes an input section to which an image quality parameter which is considered to be important by an operator is input, a weight calculation section that calculates a weighting coefficient on the basis of the image quality parameter, and a repeated calculation section that performs a repeated calculation on the basis of a value obtained by weighting and adding a pixel value obtained in the previous iteration to a pixel value obtained from now using the weighting coefficient.
摘要:
With respect to projection data covering a plurality of sites, in order to create a medical image in which a uniform noise reduction effect is achieved for all sites within the projection data, an arithmetic device (5) determines one or more of proper subsets on the basis of scanning conditions and reconstruction conditions (step 2). Next, the arithmetic device (5) calculates a penalty-term weight for each proper subset on the basis of a detector output weight corresponding to a set element contained in the proper subset (step 3). Then, the arithmetic unit (5) performs an iterative approximation by using the penalty-term weight for each proper subset (step 4).
摘要:
In order to provide a reconstruction computing device, a reconstruction computing method, and an X-ray CT apparatus capable of improving the image quality while reducing the amount of computation when reconstructing an X-ray CT image using an iterative method, a reconstruction computing device 45 divides an initial image 50 reconstructed using an analytical method such as an FBP method into a bed region 51, an object region 52, and the other air region 53, sets reconstruction conditions including at least convergence conditions and a pixel size for each of the divided regions, updates estimation images by performing an iterative process, and fixes estimation images or forward projection data of a subset satisfying the convergence conditions until other subsets satisfy the convergence conditions.
摘要:
In order to provide an X-ray CT apparatus and the like that reconstruct an image using an iterative approximation method which ensures stable convergence and can be executed at high speed, a computation device 5 of an X-ray CT apparatus 1 calculates matrices A, B, D, R, and R′ on the basis of the scanning conditions input through an input device 6 (step 1). Then, the computation device 5 calculates each element of a matrix I−α(SBTDA+βSR) (step 2). Then, the computation device 5 calculates the operator norm ∥I−α(SBTDA+βSR)∥ of the matrix I−α(SBTDA+βSR) (step 3). Then, the computation device 5 determines a relaxation coefficient α such that a predetermined conditional expression is satisfied (step 4).
摘要:
In order to provide an X-ray CT apparatus and the like that reconstruct an image using an iterative approximation method which ensures stable convergence and can be executed at high speed, a computation device 5 of an X-ray CT apparatus 1 calculates matrices A, B, D, R, and R′ on the basis of the scanning conditions input through an input device 6 (step 1). Then, the computation device 5 calculates each element of a matrix I−α(SBTDA+βSR) (step 2). Then, the computation device 5 calculates the operator norm ∥I−α(SBTDA+βSR)∥ of the matrix I−α(SBTDA+βSR) (step 3). Then, the computation device 5 determines a relaxation coefficient α such that a predetermined conditional expression is satisfied (step 4).
摘要:
With respect to projection data covering a plurality of sites, in order to create a medical image in which a uniform noise reduction effect is achieved for all sites within the projection data, an arithmetic device (5) determines one or more of proper subsets on the basis of scanning conditions and reconstruction conditions (step 2). Next, the arithmetic device (5) calculates a penalty-term weight for each proper subset on the basis of a detector output weight corresponding to a set element contained in the proper subset (step 3). Then, the arithmetic unit (5) performs an iterative approximation by using the penalty-term weight for each proper subset (step 4).
摘要:
In order to execute a high-resolution reconstructible distance-driven back projection process and to generate a high-resolution tomographic image, an X-ray CT apparatus 1 determines the presence/absence of opposing data corresponding to each piece of target data on the basis of scanning conditions, and calculates a phase range where opposing data is present (Step 21). The X-ray CT apparatus 1 performs high-resolution conversion of a zero-insertion method on a phase range where opposing data is present, and performs high-resolution conversion using a data interpolation method on a phase range where no opposing data is present, thereby creating double sampled high-resolution projection data, and calculates a view weight (Step 22). The X-ray CT apparatus 1 performs a distance-driven high-resolution back projection process using high-resolution projection data and generates a reconstructed image (Step 23).