Dynamic image processing system
A dynamic image processing system including a hardware processor that extracts a heart region from a chest dynamic image which is obtained by radiation imaging of a dynamic state at a chest, extracts a density waveform for each pixel in the extracted heart region, determines an extraction target candidate region of blood flow information based on the extracted density waveform for each pixel, and sets an extraction target region of the blood flow information in the determined extraction target candidate region of the blood flow information.
1. A dynamic image processing system comprising a hardware processor that extracts a heart region from a chest dynamic image which is obtained by radiation imaging of a dynamic state at a chest, extracts a density waveform for each pixel in the extracted heart region, determines an extraction target candidate region of blood flow information based on the extracted density waveform for each pixel, and sets an extraction target region of the blood flow information in the determined extraction target candidate region of the blood flow information, wherein the hardware processor calculates a feature amount of the extracted density waveform for each pixel, and determines the extraction target candidate region of the blood flow information based on the calculated feature amount for each pixel.
2. The dynamic image processing system according to claim 1 , wherein the hardware processor extracts the heart region from one frame image in the chest dynamic image by using template matching, and extracts the heart region from each frame image in the chest dynamic image based on the heart region extracted from the one frame image.
3. The dynamic image processing system according to claim 1 , wherein the hardware processor calculates a Hessian matrix for each pixel in one frame image in the chest dynamic image, calculates an eigenvalue from the Hessian matrix, extracts the heart region from the one frame image based on the eigenvalue, and extracts the heart region from each frame image in the chest dynamic image based on the heart region extracted from the one frame image.
4. The dynamic image processing system according to claim 1 , wherein the hardware processor extracts a contour from a plurality of frame images in the chest dynamic image, and extracts a heart region from each frame image in the chest dynamic image based on a movement direction of the extracted contour.
5. The dynamic image processing system according to claim 1 , wherein the hardware processor applies filtering in a time direction to the extracted density waveform to remove a low frequency component.
6. The dynamic image processing system according to claim 1 , wherein the hardware processor calculates a frequency component of the density waveform as the feature amount.
7. The dynamic image processing system according to claim 6 , wherein the hardware processor measures a number of a peak of the calculated frequency component of the density waveform for each pixel, and determines a region of a pixel having the number of peaks which is equal to or smaller than a predetermined threshold to be the extraction target candidate region of the blood flow information.
8. The dynamic image processing system according to claim 6 , wherein the hardware processor acquires a heart rate of a subject during imaging of the chest dynamic image, converts the acquired heart rate into a frequency, and determines a region of a pixel which has a peak at a frequency of the density waveform nearly matching the converted frequency to be the extraction target candidate region of the blood flow information.
9. The dynamic image processing system according to claim 1 , wherein the hardware processor calculates an amplitude value of the density waveform as the feature amount.
10. The dynamic image processing system according to claim 9 , wherein the hardware processor calculates a threshold of the amplitude value, and determines a region of a pixel having the calculated amplitude value which is larger than the threshold to be the extraction target candidate region of the blood flow information.
11. The dynamic image processing system according to claim 10 , wherein the hardware processor calculates the threshold of the amplitude value based on amplitude values of all pixels in the heart region.
12. The dynamic image processing system according to claim 1 , further comprising a display which displays the extraction target candidate region of the blood flow information, wherein the hardware processor sets, as the extraction target region of the blood flow information, a region which is specified by user's operation on the extraction target candidate region of the blood flow information that is displayed on the display.
13. The dynamic image processing system according to claim 1 , wherein the hardware processor sets an entire extraction target candidate region of the blood flow information as the extraction target region of the blood flow information.
14. The dynamic image processing system according to claim 1 , wherein the hardware processor sets, as the extraction target region of the blood flow information, a region which is a circle or a polygon having a largest area and included in the extraction target candidate region of the blood flow information.
15. The dynamic image processing system according to claim 1 , wherein the hardware processor calculates a position of a centroid of the extraction target candidate region of the blood flow information, and sets, as the extraction target region of the blood flow information, a region which has an arbitrary shape and an arbitrary size based on the position of the centroid as a reference in the extraction target candidate region of the blood flow information.