Method and arrangement for medical x-ray imaging and reconstruction from sparse data
First Claim
1. A method for producing three-dimensional information of an object (4) in medical X-ray imaging, characterized in that the object is modelled mathematically independently of X-ray imaging, the object is X-radiated from at least two different directions and the said X-radiation is detected to form projection data of the object (4), and said projection data and said mathematical modelling of the object are utilized in Bayesian inversion based on Bayes'"'"' formula
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( x | m ) = to produce three-dimensional information of the object, the prior distribution ppr(x) representing mathematical modelling of the object, x representing the object image vector, which comprises values of the X-ray attenuation coefficient inside the object, m representing projection data, the likelihood distribution p(m|x) representing the X-radiation attenuation model between the object Image vector x and projection data m, p(m) being a normalization constant and the posteriori distribution p(x|m) representing the three-dimensional information of the object (4).p pr ( x ) p ( m | x ) p ( m )
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Abstract
The invention relates to a medical X-ray device 5 arrangement for producing three-dimensional information of an object 4 in a medical X-ray imaging medical X-ray device arrangement comprising an X-ray source 2 for X-radiating the object from different directions and a detector 6 for detecting the X-radiation to form projection data of the object 4. The medical X-ray device 5 arrangement comprises:
- means 15 for modelling the object 4 mathematically independently of X-ray imaging
- and means 15 for utilizing said projection data and said mathematical modelling of the object in Bayesian inversion based on Bayes'"'"' formula
to produce three-dimensional information of the object, the prior distribution ppr(x) representing mathematical modelling of the object, the object image vector x, which comprise values of the X-ray attenuation coefficient inside the object, m representing projection data, the likelihood distribution p(m|x) representing the X-radiation attenuation model between the object image vector x and projection data m, p(m) being a normalization constant and the posteriori distribution p(x|m) representing the three-dimensional information of the object 4.
15 Citations
36 Claims
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1. A method for producing three-dimensional information of an object (4) in medical X-ray imaging, characterized in that
the object is modelled mathematically independently of X-ray imaging, the object is X-radiated from at least two different directions and the said X-radiation is detected to form projection data of the object (4), and said projection data and said mathematical modelling of the object are utilized in Bayesian inversion based on Bayes'"'"' formula -
( x | m ) = p pr ( x ) p ( m | x ) p ( m ) to produce three-dimensional information of the object, the prior distribution ppr(x) representing mathematical modelling of the object, x representing the object image vector, which comprises values of the X-ray attenuation coefficient inside the object, m representing projection data, the likelihood distribution p(m|x) representing the X-radiation attenuation model between the object Image vector x and projection data m, p(m) being a normalization constant and the posteriori distribution p(x|m) representing the three-dimensional information of the object (4). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A medical X-ray device (5) arrangement for producing three-dimensional information of an object (4) in a medical X-ray imaging, characterized in that the medical X-ray device (5) arrangement comprises:
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means (15) for modelling the object (4) mathematically independently of X-ray imaging an X-ray source (2) for X-radiating the object from at least two different directions a detector (6) for detecting the X-radiation to form projection data of the object (4) and means (15) for utilizing said projection data and said mathematical modelling of the object in Bayesian inversion based on Bayes'"'"' formula to produce three-dimensional information of the object, the prior distribution ppr(x) representing mathematical modelling of the object, x representing the object image vector, which comprises values of the X-ray attenuation coefficient inside the object, m representing projection data, the likelihood distribution p(m|x) representing the X-radiation attenuation model between the object image vector x and projection data m, p(m) being a normalization constant and the posteriori distribution p(x|m) representing the three-dimensional information of the object (4). - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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Specification