Controlling the number of iterations in image reconstruction
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-017/10
출원번호
US-0313065
(2011-12-07)
등록번호
US-8380469
(2013-02-19)
발명자
/ 주소
Vija, Alexander Hans
Yahil, Amos
출원인 / 주소
Siemens Medical Solutions USA, Inc.
인용정보
피인용 횟수 :
2인용 특허 :
13
초록▼
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
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.
대표청구항▼
1. A nuclear imaging device comprising: a detector for detecting radiation emitted from within a patient and providing a data set indicative of the detected radiation,a reconstruction unit for reconstructing, in a series of iterations updated image objects, wherein each iteration step includes deter
1. A nuclear imaging device comprising: a detector for detecting radiation emitted from within a patient and providing a data set indicative of the detected radiation,a reconstruction unit for reconstructing, in a series of iterations updated image objects, wherein each iteration step includes determining a data model from an input image object, the input image object of a first iteration being the initial image object and the input image objects of subsequent iterations being the updated image objects from previous iterations, and determining a stop-criterion of the data model on the basis of a chi-square-gamma statistic;an evaluation unit interacting with the reconstruction unit for determining that the stop-criterion of the data model has transitioned from being outside a limitation of a threshold value to being inside the limitation, the stop-criterion or the threshold being a function of a statistical value of the chi-square gamma statistic, the stop-criterion or the threshold varying by spatial location and being weighted toward a region of interest within the volume, ending the iterations, selecting one of the updated image objects to be the reconstructed image object; anda display for displaying an image of the updated image object. 2. The nuclear imaging device of claim 1, wherein the evaluation unit is configured to use the chi-square-gamma statistic for determining a stop-criterion of a data model that corresponds to an updated object. 3. The nuclear imaging device of claim 1, wherein the reconstruction unit is configured to provide the output image to be the first of the updated objects being evaluated to have a sufficient quality. 4. The nuclear imaging device of claim 1, wherein the reconstruction unit is configured to provide the output image to be the updated object of an iteration that directly follows the iteration that produced an updated object having a sufficient quality. 5. The nuclear imaging device of claim 1, wherein the reconstruction unit is configured to provide the output image to be the second of the updated objects being evaluated to have a sufficient quality. 6. The nuclear imaging device of claim 1, wherein the detector unit comprises a positron emission tomography detector system. 7. The nuclear imaging device of claim 1, wherein the detector unit comprises a single photon computed tomography detector system. 8. The nuclear imaging device of claim 1, wherein the reconstruction unit is configured to run an algorithm selected from the group consisting of algorithms based on maximum likelihood, algorithms based on an ordered subset expectation maximization, algorithms based on a non-negative least square fit, algorithms based on an ordered subset non-negative least square fit, and algorithms based on a pixon method. 9. The nuclear imaging device of claim 1, wherein the evaluation unit is configured to determine the stop-criterion of the data model within a region of interest defined in object space.
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이 특허에 인용된 특허 (13)
Puetter, Richard; Yahil, Amos; Pi?a, Robert, Accelerated signal encoding and reconstruction using pixon method.
Cann Christopher E. (53 Carmel St. San Francisco CA 94117) Hasegawa Bruce H. (2303 Julie La. So. San Francisco CA 94080) Gingold Eric L. (4250 Gilbert St. Oakland CA 94611), Emission-transmission imaging system using single energy and dual energy transmission and radionuclide emission data.
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