Radio-therapeutic treatment planning incorporating functional imaging information
A radiation therapy planning procedure and device provides a model-based segmentation of co-registered anatomical and functional imaging information to provide a more precise radiation therapy plan. The biology-based segmentation models the imaging information to produce a parametric map, which is then clustered into regions of similar radiation sensitivity or other biological parameters relevant for treatment definition. Each clustered region is prescribed its own radiation prescription dose.
1. A radiation therapy planning procedure comprising:
acquiring anatomical imaging information;
acquiring functional imaging information;
co-registering the anatomical and functional imaging information;
modeling the functional imaging information to create a parametric map;
clustering segments of the parametric map to form clusters of similar radiation sensitivity or other biological information relevant for treatment definition;
prescribing a radiation dose to each cluster formed; and
optimizing the radiation dose of each cluster to provide an application dose for each cluster.
2. The radiation therapy planning procedure of claim 1 further comprising a correction step, wherein the clusters are modified.
3. The radiation therapy planning procedure of claim 2 , wherein said correction step includes modifying the size of one or more clusters by a predetermined value.
4. The radiation therapy planning procedure of claim 1 , wherein the number of clusters formed is determined by the formula:
#
clusters
=
k
MAX
-
k
MIN
κ
·
〈
σ
k
〉
.
5. The radiation therapy planning procedure of claim 1 , wherein the radiation dose prescribed for each cluster formed is derived from a look-up table or a radiobiological model.
6. The radiation therapy planning procedure of claim 1 , wherein the modeling of the functional imaging information is based on hypoxia.
7. The radiation therapy planning procedure of claim 1 , wherein the modeling of the functional imaging information is based upon oxygen content.
8. The radiation therapy planning procedure of claim 1 , wherein the number of clusters formed is dependent on the noise.
9. A radiation treatment planning device comprising:
a means for acquiring anatomical imaging information;
a means for acquiring functional imaging information;
a means for co-registering the anatomical and functional imaging information;
a means for modeling the functional imaging information to create a parametric map;
a means for clustering segments of the parametric map to form clusters of similar radiation sensitivity;
a means for prescribing a radiation dose to each cluster formed; and
a means for optimizing the radiation dose of each cluster to provide an application dose for each cluster.
10. The radiation treatment planning device of claim 9 further comprising a means for correcting one or more clusters.
11. The radiation treatment planning device of claim 10 , wherein said means for correcting one or more clusters includes a means for modifying the size of one or more clusters by a predetermined value.
12. The radiation treatment planning device of claim 9 , wherein the number of clusters formed is determined by the formula:
#
clusters
=
k
MAX
-
k
MIN
κ
·
〈
σ
k
〉
.
13. The radiation treatment planning device of claim 9 further including a look-up table that is used to determine the prescribed radiation dose.
14. The radiation treatment planning device of claim 9 , wherein the modeling of the functional imaging information is based on hypoxia.
15. The radiation treatment planning device of claim 9 , wherein the modeling of the functional imaging information is based upon oxygen content.
16. The radiation therapy planning device of claim 9 , wherein the number of clusters formed is dependent on the noise.
17. A radiation therapy planning procedure comprising:
acquiring anatomical imaging information;
acquiring functional imaging information via FMISO-PET;
co-registering the anatomical and functional imaging information;
modeling the functional imaging information based on hypoxia to create a parametric map;
clustering segments of the parametric map to form clusters of similar hypoxia;
prescribing a radiation dose to each cluster formed; and
optimizing the radiation dose of each cluster to provide an application dose for each cluster.
18. The radiation therapy planning procedure of claim 17 further comprising a correction step, wherein the clusters are modified.
19. The radiation therapy planning procedure of claim 17 , wherein the number of clusters formed is determined by the formula:
#
clusters
=
k
MAX
-
k
MIN
K
·
〈
σ
k
〉
.
20. The radiation therapy planning procedure of claim 1 , wherein the number of clusters formed is dependent on the noise.
21. A radiation therapy planning procedure comprising:
modeling the functional imaging information to create a parametric map;
clustering segments of the parametric map to form clusters of similar radiation sensitivity or other biological information relevant for treatment definition;
prescribing a radiation dose to each cluster formed; and
optimizing the radiation dose of each cluster to provide an application dose for each cluster.