Methods and apparatus for correcting scatter
AssigneeGeneral Electric Company
InventorsDinko E. Gonzalez Trotter, Bernhard Erich Hermann Claus, Serge Louis Wilfrid Muller
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Abstract
A method for removing scatter in an image includes acquiring data of an object of interest, and using an iterative equation including a thickness-dependent kernel modulation factor to reconstruct an image of the object.
Claims35
A method for removing scatter in an image, said method comprising:
- acquiring data of an object of interest;
- and
- using an iterative equation including a thickness-dependent kernel modulation factor to reconstruct an image of the object.
A medical imaging system for removing scatter in an image, said medical imaging system comprising:
- a detector array;
- at least one radiation source;
- and
- a computer coupled to said detector array and radiation source and configured to:
- acquire data of an object of interest;
- estimate a re-normalization map according to N(m)˜eμdb(m):
- where:
- N(m) is the re-normalization map of a pixel m;
- μ is a mean attenuation coefficient for an X-ray photon spectrum in
- breast equivalent material;
- and
- db(m) is a distance between pixel m and a closest pixel belonging to an object boundary;
- use an iterative equation including a thickness-dependent kernel modulation factor in accordance with a k = p _ k p _ k 0 ,
- where:
- {overscore (p)}k is a norm of a scatter kernel p;
- and
- {overscore (p)}k00 is a norm of a scatter kernel for a compression thickness of the object;
- and
- incorporate the re-normalization map into the iterative equation b(n) according to:
- b ( n ) = y 2 l + ( 2 l - 1 2 l ) b ( n - 1 ) - N p * ab 1 ( n - 1 ) 2 l - p * ab 2 ( n - 1 ) 2 l .
- where:
- y is a measured image;
- p is a scatter kernel;
- {overscore (p)}k is a norm of a scatter kernel p;
- l is an integer that satisfies the condition {overscore (p)}<2l;
- subscript 1 is the direct events outside of the object boundary;
- subscript 2 is the direct events inside the object boundary;
- α is the kernel modulation factor;
- N is the kernel re-normalization map;
- bn is an estimate of the image formed by directly transmitted photons;
- and
- n is a quantity of iterations.
A method for removing scatter in an image, said method comprising:
- acquiring data of an object of interest;
- and
- using an iterative equation to reconstruct an image of the object when a scatter fraction is greater than approximately 0.5.
A computer readable medium encoded with a program executable by a computer for removing scatter from an image, said program configured to instruct the computer to:
- acquire data of an object of interest;
- define an initial scatter signal estimation in accordance with s ( 0 ) = p * y 1 + p _ = p * ( b + p * b ) 1 + p _ = p * b * ( δ + p ) 1 + p _ ,
- where:
- y is a measured image;
- δ is the Kronecker delta function;
- p is a scatter kernel;
- {overscore (p)} is a scatter kernel norm;
- l is an integer that satisfies the condition {overscore (p)}<2l;
- b is a direct image;
- re-define a direct image;
- define an initial direct estimation in accordance with b ( n ) = b 2 l + p * b 2 l + ( 2 l - 1 2 l δ - p 2 l ) * b ( n - 1 ) ;
- where:
- n is a quantity of iterations;
- use an iterative equation to reconstruct an image of the object when a scatter fraction is greater than approximately 0.5;
- and
- select a sub-iteration quantity l such that {overscore (p)}<2l.
A computer readable medium encoded with a program executable by a computer for removing scatter from an image, said program configured to instruct the computer to:
- acquire data of an object of interest;
- and
- use an iterative equation including a thickness-dependent kernel modulation factor to reconstruct an image of the object.
A medical imaging system for removing scatter in an image, said medical imaging system comprising:
- a detector array;
- at least one radiation source;
- and
- a computer coupled to said detector array and radiation source and configured to:
- acquire data of an object of interest;
- and
- use an iterative equation to reconstruct an image of the object when a scatter fraction is greater than approximately 0.5.
Dependencies are inferred from the claim text.