X-ray CT apparatus, data processing device, and projection data generation method
An X-ray CT apparatus includes an extraction unit that acquires air data measured using the X-ray CT apparatus and the measurement data obtained by scanning the object, that extracts sensitivity variation data which is a sensitivity variation component of a detection element from the air data, and that extracts blank data from which the sensitivity variation component is removed, and a projection data generation unit that removes the sensitivity variation component and noise which are included in the measurement data, based on the sensitivity variation data, and that uses the blank data so as to perform a correction process of the measurement data from which the sensitivity variation component and the noise are removed.
1. An X-ray CT apparatus comprising:
a scan gantry unit that emits X-ray to an object, and that detects the X-ray transmitted through the object;
a bed on which the object is laid, and in which the object is loaded into or unloaded from an X-ray emission range of the scan gantry unit; and
an operation desk including a data processing device that controls each portion of the scan gantry unit, that acquires measurement data measured by the scan gantry unit, and that generates an image including an object tomographic image from the measurement data,
wherein the data processing device includes an extraction unit that acquires air data measured using the X-ray CT apparatus and the measurement data obtained by scanning the object, that extracts sensitivity variation data which is a sensitivity variation component of a detection element from the air data, and that extracts blank data from which the sensitivity variation component is removed, and a projection data generation unit that removes the sensitivity variation component and noise which are included in the measurement data, based on the sensitivity variation data, and that uses the blank data so as to perform a correction process of the measurement data from which the sensitivity variation component and the noise are removed.
2. The X-ray CT apparatus according to claim 1 ,
wherein based on the sensitivity variation data, after removing the sensitivity variation component included in the measurement data, the projection data generation unit performs an inter-proximity element smoothing process for removing the noise, and performs the correction process.
3. The X-ray CT apparatus according to claim 1 ,
wherein the projection data generation unit employs a successive approximation noise reduction method using an evaluation function including the sensitivity variation data so as to remove the sensitivity variation component and the noise from the measurement data, and performs the correction process.
4. The X-ray CT apparatus according to claim 1 , further comprising:
an input device that receives selection whether or not to perform a noise reduction process from the measurement data,
wherein in a case where it is selected to perform the noise reduction process via the input device, the projection data generation unit performs the noise reduction process.
5. A data processing device comprising:
an extraction unit that acquires air data measured using an X-ray CT apparatus and measurement data obtained by scanning an object, that extracts sensitivity variation data which is a sensitivity variation component of a detection element from the air data, and that extracts blank data from which the sensitivity variation component is removed; and
a projection data generation unit that removes the sensitivity variation component and noise which are included in the measurement data, based on the sensitivity variation data, and that uses the blank data so as to perform a correction process of the measurement data from which the sensitivity variation component and the noise are removed.
6. The data processing device according to claim 5 ,
wherein based on the sensitivity variation data, after removing the sensitivity variation component included in the measurement data, the projection data generation unit performs an inter-proximity element smoothing process for removing the noise, and performs the correction process.
7. The data processing device according to claim 5 ,
wherein the projection data generation unit employs a successive approximation noise reduction method using an evaluation function including the sensitivity variation data so as to remove the sensitivity variation component and the noise from the measurement data, and performs the correction process.
8. The data processing device according to claim 5 , further comprising:
an input device that receives selection whether or not to perform a noise, reduction process from the measurement data,
wherein in a case where it is selected to perform the noise reduction process via the input device, the projection data generation unit improves image quality, and in a case where it is selected not to perform the noise reduction process, the projection data generation unit gives priority to shortening a calculation time.
9. A projection data generation method comprising:
a step of causing a data processing device to acquire air data measured using an X-ray CT apparatus and measurement data obtained by scanning an object, to extract sensitivity variation data which is a sensitivity variation component of a detection element from the air data, and to extract blank data from which the sensitivity variation component is removed;
a step of removing the sensitivity variation component and noise which are included in the measurement data, based on the sensitivity variation data; and
a step of performing a correction process using the blank data on the measurement data from which the sensitivity variation component and the noise are removed.
10. The projection data generation method according to claim 9 ,
wherein in the step of performing the correction process, after the sensitivity variation component included in the measurement data is removed based on the sensitivity variation data, an inter-proximity element smoothing process for removing the noise is performed.
11. The projection data generation method according to claim 9 ,
wherein in the step of performing the correction process, a successive approximation noise reduction method using an evaluation function including the sensitivity variation data is employed so as to remove the sensitivity variation component and the noise from the measurement data.
12. The projection data generation method according to claim 9 , further comprising:
a step of receiving selection whether or not to perform a noise reduction process from the measurement data,
wherein in the step of removing the sensitivity variation component and the noise, in a case where it is selected to perform the noise reduction process, the noise reduction process is performed.