Magnetic resonance imaging apparatus, processing apparatus and medical image processing method
According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry configured to generate a plurality of reference partial k-space data items based on the filling positions and reference k-space data, generate a plurality of difference k-space data items by taking differences between the partial k-space data items and the reference k-space data items to each of the frames, generate a plurality of difference images by applying the reconstruction processing respectively to the difference k-space data items, and generate a plurality of composite images by combining the reference image with each of the difference images.
1. A magnetic resonance imaging apparatus comprising:
processing circuitry configured to:
generate reference k-space data by applying inverse transform of reconstruction processing to a reference image;
generate a plurality of reference partial k-space data items so as to respectively correspond to a plurality of partial k-space data items relating to a plurality of frames at different filling positions in a k-space and arranged in time sequence, based on the filling positions and the reference k-space data;
generate a plurality of difference k-space data items by taking differences between the partial k-space data items and the reference k-space data items to each of the frames;
generate a plurality of difference images by applying the reconstruction processing respectively to the difference k-space data items; and
generate a plurality of composite images by combining the reference image with each of the difference images.
2. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to generate the reference partial k-space data items by extracting k-space traces respectively corresponding to the filling positions from the reference k-space data.
3. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to generate the reference image by applying the reconstruction processing to the k-space data obtained by integrating all of the partial k-space data items.
4. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to generate the reference image by applying the reconstruction processing to the k-space data obtained by integrating two or more of the partial k-space data items.
5. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to generate the reference image by applying the reconstruction processing to the k-space data collected before collection of the partial k-space data items.
6. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to generate the reference image by applying the reconstruction processing to the k-space data collected after collection of the partial k-space data items.
7. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to generate the reference image by applying the reconstruction processing to the k-space data collected before or after an angiographic examination.
8. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to perform a radial scan and acquire the partial k-space data items.
9. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to perform a spiral scan and acquire the partial k-space data items.
10. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to perform a Cartesian scan and acquire the partial k-space data items.
11. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to generate the difference images by applying the reconstruction processing which introduced a correlation between the frames.
12. The magnetic resonance imaging apparatus according to claim 11 , wherein the correlation is compressed sensing.
13. The magnetic resonance imaging apparatus according to claim 1 , wherein the processing circuitry is further configured to generate the composite images by combining the reference image with each of the difference images.
14. A processing apparatus comprising:
processing circuitry configured to:
generate reference k-space data by applying inverse transform of reconstruction processing to a reference image;
generate a plurality of reference partial k-space data items so as to respectively correspond to a plurality of partial k-space data items relating to a plurality of frames at different filling positions in a k-space and arranged in time sequence, based on the filling positions and the reference k-space data;
generate a plurality of difference k-space data items by taking differences between the partial k-space data items and the reference k-space data items to each of the frames;
generate a plurality of difference images by applying the reconstruction processing respectively to the difference k-space data items; and
generate a plurality of composite images by combining the reference image with each of the difference images.
15. A medical image processing method comprising:
generating reference k-space data by applying inverse transform of reconstruction processing to a reference image;
generating a plurality of reference partial k-space data items so as to respectively correspond to a plurality of partial k-space data items relating to a plurality of frames at different filling positions in a k-space and arranged in time sequence, based on the filling positions and the reference k-space data;
generating a plurality of difference k-space data items by taking differences between the partial k-space data items and the reference k-space data items to each of the frames;
generating a plurality of difference images by applying the reconstruction processing respectively to the difference k-space data items; and
generating a plurality of composite images by combining the reference image with each of the difference images.