Method and device for generating one or more computer tomography images based on magnetic resonance images with the help of tissue class separation
A device, system and method for generating one or more simulated CT images from MR images, including retrieving MR image data for one or more body parts of a living being, said MR image data including a plurality of pixels and/or voxels, analyzing said MR image data to identify one or more tissue and/or material types for one or more of said plurality of pixels and/or voxels, registering one or more reference data sets to said identified one or more tissue and/or material types, said reference data sets corresponding to a specific one of said identified tissue and/or material types, said reference data sets including reference values, and computing one or more simulated CT images by assigning said reference values to said pixels and/or voxels corresponding to said identified one or more tissue and/or material types.
1. A method for generating one or more simulated CT images from MR images, comprising acts of:
retrieving MR image data representative of one or more anatomical regions, said MR image data comprising a plurality of pixels and/or voxels;
analyzing said MR image data to identify a plurality of tissue and/or material types for one or more of said plurality of pixels and/or voxels;
registering a corresponding tissue and/or material type-specific CT-based atlas comprising Hounsfield Unit (HU) values to each of said identified plurality of tissue and/or material types; and
computing one or more simulated CT images by assigning said Hounsfield Unit (HU) values to said pixels and/or voxels corresponding to said identified plurality of tissue and/or material types,
wherein each tissue and/or material type-specific CT-based atlas corresponds to a specific one of said identified tissue and/or material types,
and wherein said registering is performed on each of the tissue and/or material types separately.
2. The method according to claim 1 , wherein said CT-based atlases are averaged from the plurality of CT images.
3. The method according to claim 1 , wherein said CT-based atlases are location specific.
4. The method according to claim 1 , wherein said registering comprises applying at least one rigid registration and/or at least one non-rigid deformable, registration.
5. The method according to claim 1 , wherein said tissue and/or material types are mutually disjoint.
6. The method according to claim 1 , wherein said assigning to said identified tissue and/or material types from the MR image is mutually disjoint.
7. The method according to claim 1 , wherein said analyzing comprises segmenting and/or reconstructing and/or applying a body extraction algorithm and/or a method involving the DIXON reconstruction of the inphase images of the MR acquisition to MR image data.
8. The method according to claim 1 , wherein said MR image data comprise pelvic MR image data, said plurality of tissue and/or material types comprising air, fat, water, bone marrow and/or cortical bone.
9. A device for generating one or more simulated CT images from MR images, comprising:
a processor
configured to retrieve MR image data representative of one or more anatomical regions, said MR image data comprising a plurality of pixels and/or voxels;
configured to analyze said MR image data to identify a plurality of tissue and/or material types for one or more of said plurality of pixels and/or voxels,
configured to register a corresponding tissue and/or material type-specific CT-based atlas comprising Hounsfield Unit (HU) values to each of said identified plurality of tissue and/or material types; and
configured to compute one or more simulated CT images by assigning said Hounsfield Unit (HU) values to said pixels and/or voxels corresponding to said identified plurality of tissue and/or material types,
wherein each tissue and/or material type-specific CT-based atlas corresponds to a specific one of said identified tissue and/or material types,
and wherein said registering is performed on each of the tissue and/or material types separately.
10. A system for radiation therapy treatment and/or planning, comprising:
a device as claimed in claim 9 configured to generate one or more simulated CT images from MR images, wherein the processor is further configured to set up a radiation therapy plan by generating a dosimetry program based on said generated one or more simulated CT images.
11. The system according to claim 10 , further comprising a magnetic resonance imaging (MRI) device configured to generate MR image data representative of one or more anatomical regions.
12. The system according to claim 10 , wherein said dosimetry program comprises an attenuation and/or density map.
13. A computer program stored on tangible computer-readable storage-memory, the computer program comprising program code configured to cause a computer to carry out the acts of the method as claimed in claim 1 when said computer program is carried out on a computer.
14. The method according to claim 1 , wherein the anatomical regions are body parts of a living being.