Image processing device and MRI apparatus

1. An image processing device, comprising:

processing circuitry configured to

acquire a fat image obtained using a water/fat separation method of magnetic resonance imaging,

extract an outer wall image of a tubular structure out of the fat image, and

generate a tubular-structure wall image in which a wall of the tubular structure is distinguished, based on the extracted outer wall image.

2. The image processing device according to claim 1 ,

wherein the processing circuitry is further configured to

acquire a water image obtained using the water/fat separation method of magnetic resonance imaging,

extract an inner wall image of the tubular structure out of the water image, and

generate the tubular-structure wall image based on the extracted outer wall and the extracted inner wall.

3. The image processing device according to claim 2 ,

wherein the processing circuitry is further configured to generate an image in which the tubular-structure wall image and a three-dimensional image depicting an entirety of a heart are associated with each other.

4. The image processing device according to claim 2 ,

wherein the processing circuitry is further configured to

analyze tissue characterization of the wall of the tubular structure, and

generate an image in which an analysis result of the tissue characterization is superimposed on the wall of the tubular structure.

5. The image processing device according to claim 4 ,

wherein the processing circuitry is further configured to

extract the inner wall image out of each of plural water images of respective time phases,

extract the outer wall image out of each of plural fat images of the respective time phases, and

generate tubular-structure wall images of the respective time phases, in each of which the inner wall image and the outer wall image are distinguished.

6. The image processing device according to claim 4 ,

wherein the processing circuitry is further configured to

determine a type of tissue characterization for each of plural regions of the tubular structure as one of normal, fibrosis, fat accumulation, and calcification, by analyzing the tissue characterization of the tubular structure, and

generate an image in which plural colors different from each other are assigned to the plural regions of the tubular structure, according to the type of tissue characterization for each of plural regions.

7. The image processing device according to claim 6 ,

wherein the processing circuitry is further configured to

extract the inner wall image out of each of plural water images of respective time phases,

extract the outer wall image out of each of plural fat images of the respective time phases, and

generate tubular-structure wall images of the respective time phases, in each of which the inner wall image and the outer wall image are distinguished.

8. The image processing device according to claim 7 ,

wherein the processing circuitry is further configured to

analyze a plaque rupture risk for a plaque existing in tubular-structure wall images of plural time phases, based on tissue characterization of the wall of the tubular structure and a deformation volume of the plaque between the plural time phases, and

generate an image in which information on an analysis result of the plaque rupture risk is included.

9. The image processing device according to claim 7 ,

wherein the processing circuitry is further configured to

perform fluid structure interaction analysis by using a deformation volume between the tubular-structure wall images of the respective time phases and tissue characterization of the wall of the tubular structure, and

generate an image in which information on an analysis result of the fluid structure interaction analysis is included.

10. The image processing device according to claim 2 ,

wherein the processing circuitry is further configured to

calculate FFR (Fractional Flow Reserve) by using a deformation volume between tubular-structure wall images of plural time phases and tissue characterization of the wall of the tubular structure, and

generate an image in which information on the calculated FFR is included.

11. The image processing device according to claim 2 ,

wherein the processing circuitry is further configured to

analyze a plaque rupture risk for a plaque existing in tubular-structure wall images of plural time phases, based on tissue characterization of the wall of the tubular structure and a deformation volume of the plaque between the plural time phases, and

generate an image in which information on an analysis result of the plaque rupture risk is included.

12. The image processing device according to claim 2 ,

wherein the processing circuitry is further configured to

perform fluid structure interaction analysis by using a deformation volume between tubular-structure wall images of plural time phases and tissue characterization of the wall of the tubular structure, and

generate an image in which information on an analysis result of the fluid structure interaction analysis is included.

13. The image processing device according to claim 2 ,

wherein the processing circuitry is further configured to generate the tubular-structure wall image based on the outer wall image and the inner wall image, which is extracted by a method other than the water/fat separation method of magnetic resonance imaging.

14. The image processing device according to claim 2 , further comprising a display configured to display the tubular-structure wall image.

15. An MRI apparatus, comprising:

an RF coil configured to receive magnetic resonance signals under a water/fat separation method; and

processing circuitry configured to

reconstruct a water image and a fat image from the magnetic resonance signals under the water/fat separation method,

acquire a fat image obtained using the water/fat separation method of magnetic resonance imaging,

extract an inner wall image of a tubular structure out of the water image,

extract an outer wall image of the tubular structure out of the fat image, and

generate a tubular-structure wall image in which the tubular structure is distinguished, based on the extracted inner wall image and the extracted outer wall image.

16. The image processing device according to claim 1 , wherein the tubular structure is a vessel.