Device and system for determining a bone strength indicator
Disclosed is a way to provide a medical image processing device that may include a hardware processor that calculates at least one of trabecular connectivity, trabecular width, trabecular number, mineralization degree, osteoid volume, cortical width, and cortical porosity as a bone characteristic indicator of a subject from reconstructed image data generated from moiré image data acquired by photographing the subject.
1. A medical image processing device, comprising:
a hardware processor that (i) calculates at least one of trabecular connectivity, trabecular width, trabecular number, mineralization degree, osteoid volume, cortical width, and cortical porosity as a bone characteristic indicator of a subject from reconstructed image data generated from moiré image data acquired by photographing the subject, (ii) evaluates a risk of the subject's bone having a fracture based on the at least one calculation, (iii) calculates bone density or bone mineral volume of the subject from the reconstructed image data, and (iv) calculates a bone strength indicator based on an addition involving the calculated bone characteristic indicator, the calculated bone density or bone mineral volume, and a weight coefficient; and
a display that displays at least one of the bone characteristic indicator and the bone strength indicator.
2. The medical image processing device according to claim 1 , wherein the hardware processor corrects the bone characteristic indicator based on at least one of a photographed body part of the subject and a photographing condition.
3. The medical image processing device according to claim 1 , wherein the hardware processor corrects the bone strength indicator based on at least one of a photographed body part of the subject and a photographing condition.
4. The medical image processing device according to claim 1 , wherein the hardware processor calculates the bone strength indicator for each of a plurality of small regions acquired by dividing a measurement target region of the reconstructed image data, and calculates a statistic of a plurality of calculated bone strength indicators.
5. The medical image processing device according to claim 1 , wherein the hardware processor calculates trabecular anisotropy of the subject from the reconstructed image data, and adds at least one of the calculated bone characteristic indicators, the calculated bone density or bone mineral volume, and the calculated trabecular anisotropy by using a weight coefficient to calculate the bone strength indicator of the subject.
6. The medical image processing device according to claim 5 , wherein the hardware processor calculates, as the trabecular anisotropy, a ratio between signal values of two pieces of small-angle scattering image data as the reconstructed image data in which a grating slit direction is set as a parallel direction and an orthogonal direction of a bone load direction of the subject.
7. The medical image processing device according to claim 1 , wherein the hardware processor corrects a signal value of the reconstructed image data or the bone characteristic indicator such that an angle of a grating slit direction with respect to the subject when photographing the moiré image data comes to an angle with respect to a bone load direction of the subject.
8. The medical image processing device according to claim 1 , wherein the hardware processor calculates the trabecular connectivity by using differential phase image data as the reconstructed image data.
9. The medical image processing device according to claim 1 , wherein the hardware processor calculates the trabecular number based on pixel number exceeding a prescribed threshold value on a profile of differential phase image data as the reconstructed image data.
10. The medical image processing device according to claim 1 , wherein the hardware processor performs a frequency analysis of a profile of differential phase image data as the reconstructed image data and calculates, as the trabecular width, a length corresponding to a spatial frequency of the highest spectrum intensity within the spatial frequency corresponding to a trabecula.
11. The medical image processing device according to claim 1 , wherein the hardware processor calculates at least one of the trabecular connectivity, the trabecular number, and the trabecular width by using composite differential phase image data acquired by squaring and adding two pieces of differential phase image data as the reconstructed image data whose angles of grating slit directions with respect to the subject are different from each other by 90°.
12. The medical image processing device according to claim 1 , wherein the hardware processor calculates the mineralization degree by using composite small-angle scattering image data acquired by squaring and adding two pieces of small-angle scattering image data as the reconstructed image data whose angles of grating slit directions with respect to the subject are different from each other by 90°.
13. The medical image processing device according to claim 1 , wherein the hardware processor calculates, as the mineralization degree, an average signal value of small-angle scattering image data as the reconstructed image data.
14. The medical image processing device according to claim 12 , wherein the hardware processor performs correction by multiplying a correction coefficient that is calculated by using absorption image data as the reconstructed image data on the mineralization degree acquired from the small-angle scattering image data.
15. The medical image processing device according to claim 1 , wherein the hardware processor calculates the bone characteristic indicator for each of a plurality of small regions acquired by dividing a measurement target region of the reconstructed image data, and calculates a statistic of a plurality of calculated bone characteristic indicators.
16. The medical image processing device according to claim 1 , wherein the hardware processor calculates, as the osteoid volume, a signal integrated value or an average value of signal values in a trabecular region of a difference image data between a phase image data acquired by performing integration processing on differential phase image data as the reconstructed image data and absorption image data as the reconstructed image data.
17. The medical image processing device according to claim 1 , wherein the hardware processor acquires the cortical width from a profile including a cortical bone and a cancellous bone of the reconstructed image data.
18. The medical image processing device according to claim 1 , wherein the hardware processor acquires average signal intensities of measurement target regions at same positions inside cortical bones of small-angle scattering image data as the reconstructed image data and of absorption image data, and calculates a ratio between the two acquired average signal intensities as the cortical porosity.
19. A medical image photographing system, comprising:
the medical image processing device according to claim 1 ; and
a medical image photographing device that photographs the subject and generates the moiré image data, wherein
the hardware processor generates reconstructed image data from the moiré image data.