Dose-volume kernel generation

Patent metadata

Field	Value
Publication number	US-9592408-B2
Application number	US-93531209-A
Country	US
Kind code	B2
Filing date	Mar 20, 2009
Priority date	Apr 24, 2008
Publication date	Mar 14, 2017
Grant date	Mar 14, 2017

Abstract

A radiation planning system includes a dose volume kernel determiner ( 122 ) and an expected absorbed dose determiner ( 124 ). The dose volume kernel determiner ( 122 ) generates a dose volume kernel for each of a plurality of voxels in a dose calculation grid. Each of the dose volume kernels is based on a radial dose distribution and a template function for a particular voxel size. The expected absorbed dose determiner ( 124 ) determines an expected absorbed dose distribution for each of the plurality of voxels based on the dose volume kernel.

First claim

The invention is claimed to be:

1. A radiation treatment planning system comprising:
a dose volume kernel determiner that determines a dose volume kernel of a targeted radionuclide therapy for each of a plurality of voxels in a dose calculation grid in image data generated by one of a SPECT scanner or a PET scanner, and the dose volume kernel includes a multi-dimensional array that describes a dose absorbed in neighboring voxels due to an amount of radioactivity of a radionuclide in a source voxel;
wherein the dose volume kernel determiner determines the dose volume kernel for a voxel of the plurality of voxels by sampling a single pre-calculated and stored radial dose distribution, which is pre-calculated around a point source and represents an absorbed dose due to the point source of a therapy isotope as a function of distance from the point source to a predetermined voxel size using a template function for the predetermined voxel size corresponding to a size of the voxel;
an expected absorbed dose determiner that determines an expected absorbed dose distribution for each of the plurality of voxels based on the dose volume kernel; and
a user interface that displays an expected absorbed dose map with a total expected absorbed dose determined for each voxel using the determined expected absorbed dose distribution.

2. The system of claim 1 , wherein the template function includes geometric information specific to the voxel size and is selected based on the voxel size.

3. The system of claim 1 , wherein the dose volume kernel determiner determines the dose volume kernel by determining a product of the pre-calculated radial dose distribution and the template function and integrating the product.

4. The system of claim 1 , wherein the template function is a scalable cubic template function of sufficient size for a reference size cubic voxel having equal length sides, wherein the template function is scaled to the voxel size.

5. The system of claim 1 , wherein the template function includes a summation of cubic voxel template functions for a cubic voxel that is smaller than a minimum voxel size, wherein the cubic voxel template functions are summed to generate a single template function for a larger voxel of at least the minimum voxel size.

6. The system of claim 5 , wherein the larger voxel is not cubic.

7. The system of claim 1 , wherein the template function is a summation of three one-dimensional template functions.

8. The system of claim 7 , wherein a shape of each of the three one-dimensional template functions is a triangular function.

9. The system of claim 1 , wherein the template function is the joint probability density function of three single dimension probability density functions.

10. The system of claim 1 , further including a template function determiner that generates the template function based on stochastic sampling.

11. The system of claim 10 , wherein the template function represents a normalized frequency of distances between randomly placed start and end points respectively in a source and a target voxel.

12. The system of claim 1 , wherein the template function is generated during planning.

13. The system of claim 1 , wherein the dose volume kernel determiner determines the dose volume kernel on-demand in that the dose volume kernel is not pre-calculated, but calculated when needed to determine the expected absorbed dose distribution.

14. A method, comprising:
generating a template function for a particular voxel size, wherein the template function includes geometric information specific to the voxel size;
retrieving, by a processor, a pre-calculated radial dose distribution, wherein the pre-calculated radial dose distribution function represents absorbed dose due to a point source of a therapy isotope as a function of distance from the point source;
generating a dose volume kernel of a targeted radionuclide therapy for the voxel size based on the template function and the radial dose distribution by sampling the pre-calculated radial dose distribution to the voxel size by calculating a product of the pre-calculated radial dose distribution and the template function and integrating the product, and the dose volume kernel includes a multi-dimensional array that describes a dose absorbed in neighboring voxels due to an amount of radioactivity of a radionuclide in a source voxel in a dose calculation grid in image data generated by one of a SPECT scanner or a PET scanner;
displaying an expected absorbed dose map with a total expected absorbed dose determined for each voxel using the generated dose volume kernel.

15. The method of claim 14 , further including generating an expected absorbed dose distribution for the therapy isotope based on the dose volume kernel and a residence-time map.

16. The method of claim 14 , further including generating the dose volume kernel by sampling the radial dose distribution to a voxel grid for the voxel size using the template function.

17. The method of claim 14 , further including generating the template function during radiation therapy planning.

18. The method of claim 14 , further including pre-calculating and storing the template function for subsequent radiation therapy planning.

19. The method of claim 14 , further including generating the dose volume kernel during radiation therapy planning.

20. The method of claim 14 , further including generating the dose volume kernel on-demand, when needed for generating an expected absorbed dose distribution.

21. The method of claim 14 , wherein the template function is a cubic template function of sufficient size for a reference size cubic voxel, and further including scaling the template function to the voxel size.

22. The method of claim 15 , further including summing a plurality of smaller cubic voxel template functions to generate a single template function for a larger voxel having at least one side with a length greater than the side lengths of the individual cubic voxels.

23. The method of claim 15 , further including summing three one-dimensional template functions to generate a three-dimensional template function.

24. The method of claim 15 , further including generating the template function through stochastic sampling, wherein the template function is a histogram of distances between randomly placed start and end points respectively in a source and a target voxel.

25. A method, comprising:
prompting a user for a voxel size;
notifying the user when there is no dose volume kernel of a targeted radionuclide therapy for the voxel size available from a system;
receiving an input indicative of a type of template function to generate from the user;
generating the template function based on the voxel size; obtaining a pre-calculated radial dose distribution, which is pre-calculated around a point source and represents an absorbed dose due to the point source of a therapy isotope as a function of distance from the point source; and
generating, by a processor, a dose volume kernel for the voxel size by calculating a product of the pre-calculated radial dose distribution and the template function and integrating the product, and the dose volume kernel includes a multi-dimensional array that describes a dose absorbed in neighboring voxels due to an amount of radioactivity of a radionuclide in a source voxel in a dose calculation grid in image data generated by one of a SPECT scanner or a PET scanner;
displaying an ex

Assignees

• Schweizer Bernd
• Goedicke Andreas
• Koninklijke Philips Nv

Inventors

• Schweizer Bernd
• Goedicke Andreas

Classifications

• G16H20/40

  relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture · CPC title

• G16H50/50

  for simulation or modelling of medical disorders · CPC title

• A61N5/1031 Primary

  using a specific method of dose optimization · CPC title

• G06F19/3437

  Physics · mapped topic

• G06F19/3481

  Physics · mapped topic