Medical image processing apparatus and method for determining an extracted region of a liver using a cross-section
In one embodiment, a medical image processing apparatus includes: processing circuitry configured to acquire three-dimensional image data including a liver of a donor, extract a region of the liver and vessels in the liver from the three-dimensional image data, and determine, in the extracted region of the liver, a cross section of the liver in such a manner that volume of the liver to be resected from the donor satisfies a predetermined matching condition of transplantation and number of vessels on the cross section becomes smaller.
1. A medical image processing apparatus comprising:
processing circuitry configured to
acquire three-dimensional image data including a liver of a donor,
extract a region of the liver and vessels in the liver from the three-dimensional image data, and
determine, in the extracted region of the liver, a cross section of the liver in such a manner that volume of the liver to be resected from the donor satisfies a predetermined matching condition of transplantation and number of vessels on the cross section becomes smaller.
2. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to
further set an initial cross section of the liver, and
determine the cross section of the liver by adjusting at least one of a position and shape of the initial cross section.
3. The medical image processing apparatus according to claim 2 , wherein the processing circuitry is configured to set the initial cross section as a cross-section corresponding to a Cantlie line or hepatic falciform ligament.
4. The medical image processing apparatus according to claim 2 , wherein the processing circuitry is configured to
set a plurality of provisional cross sections in parallel to the initial cross section within a predetermined range from the initial cross section, and
determine the cross section of the liver by selecting one of the plurality of provisional cross sections in such a manner that number of vessels becomes smaller.
5. The medical image processing apparatus according to claim 2 , wherein the processing circuitry is configured to
determine resection positions of vessels where number of the vessels becomes smaller within a predetermined range from the initial cross section, for respective vessels, and
determine the cross section of the liver as a surface that passes through the respective resection positions.
6. The medical image processing apparatus according to claim 5 , wherein the processing circuitry is configured to determine the cross section of the liver in such a manner that curvature of the cross section of the liver becomes a predetermined value or less.
7. The medical image processing apparatus according to claim 1 , wherein:
the vessels on the cross section are vessels to be anastomosed with vessels of a recipient at a time of transplantation; and
the processing circuitry is configured to determine the cross section of the liver in such a manner that number of the vessels existing on the cross section and having a diameter larger than a predetermined value becomes the smallest.
8. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to count number of the vessels on the cross section in such a manner that each peripheral vessel on the cross section and each vessel having a diameter equal to or smaller than a predetermined value on the cross section are excluded.
9. The medical image processing apparatus according to claim 1 , wherein the processing circuitry is configured to determine the cross section in such a manner that a bifurcation of each vessel is separated away from the cross section by a predetermined distance.
10. The medical image processing apparatus according to claim 1 , further comprising a display, wherein the processing circuitry is configured to
provisionally determine a plurality of choices of the cross section,
causing the display to display the plurality of choices of the cross section, and
finally determine the cross section as a cross section designated from among the plurality of choices of the cross section displayed on the display.
11. The medical image processing apparatus according to claim 1 , wherein the three-dimensional image data are data generated by imaging the donor with an X-ray CT apparatus.
12. A medical image processing method comprising:
acquiring three-dimensional image data including a liver of a donor,
extract a region of the liver and vessels in the liver from the three-dimensional image data, and
determine a cross section in the region of the liver in such a manner that volume of the liver to be resected from the donor satisfies a predetermined matching condition of transplantation and number of vessels on the cross section becomes smaller.
13. A non-transitory computer readable medium that stores a program causing a computer to execute a process for
acquiring three-dimensional image data including a liver of a donor,
extracting a region of the liver and vessels in the liver from the three-dimensional image data, and
determining, in the extracted region of the liver, a cross section of the liver in such a manner that volume of the liver to be resected from the donor satisfies a predetermined matching condition of transplantation and number of vessels on the cross section becomes smaller.