Patent · US10423757B2 · B2 · US
System and method for probabilistic ablation planning
- (11) Publication number
- US10423757B2
- (21) Application number
- 13/885,714
- (22) Filing date
- 2011-11-07
- (30) Priority date
- 2010-11-18
- (43) Publication date
- 2019-09-24
- (45) Date of grant
- 2019-09-24
- (52) CPC
- G06F Electric digital data processing: 19/00
- A61B Diagnosis; surgery; identification: 18/148, 2018/00577, 2034/104, 34/10, 90/37
- G16H Healthcare informatics, i.e. information and communication technology [ICT] specially adapted for the handling or processing of medical or healthcare data: 50/50
- G16Z Information and communication technology [ICT] specially adapted for specific application fields, not otherwise provided for: 99/00
- (73) Assignee
- KRUECKER JOCHEN; DALAL SANDEEP; WOOD BRADFORD JOHNS; XU SHENG; KONINKLIJKE PHILIPS NV
- (54) Title
- System and method for probabilistic ablation planning
- (57) Abstract
A system and method for ablation planning includes defining (502) shapes and sizes for one or more ablation volumes based on probability of treatment, and determining (510) a target volume to be treated. A procedure plan is provided (516) by determining a number and location of planned ablations within the target volume using the one or more ablation volumes. A joint probability distribution (520) is determined for at least two planned ablations in the target volume. A final configuration is visualized (530) to determine if plan objectives are met based on a probability of treatment for the target volume.
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Claims (14)
- A workstation, comprising: a processor; and a memory coupled to the processor, the memory storing a probability estimation module and a planning tool, wherein the probability estimation module defines shapes and sizes of ablation volumes in accordance with a treatment probability distribution representing likelihood of complete treatment by ablation within each of the ablation volumes, determines a joint probability distribution for at least two planned ablations in a target volume, and computes a metric using a spatial representation of a joint probability map and the target volume, and wherein the planning tool assigns the ablation volumes to discrete volumes of the target volume in accordance with a plan by determining a number and location of planned ablations within the target volume using the ablation volumes, and optimizes the metric to produce a final configuration of ablation volumes with an associated treatment probability distribution having spatially varying treatment probabilities within each of the ablation volumes.
- The workstation as recited in claim 1, further comprising a display for displaying treatment probabilities of the treatment probability relative to an image of the target volume.
- The workstation as recited in claim 2, wherein the treatment probabilities are included a color-coded probability distribution map showing a treatment status of the ablation volumes in a three-dimensional image of a subject.
- The workstation as recited in claim 1, wherein the probability estimation module is configured to determine size and shape of ablation volumes based upon one of physician's experience, simulation, experimentation and manufacturer specifications for an ablation probe.
- The workstation as recited in claim 1, wherein the probability estimation module is configured to update the treatment probability distribution in accordance with additional ablations to reflect cumulative effects of multiple ablations.
- The workstation as recited in claim 1, wherein the target volume includes a planned target volume (PTV).
- The workstation as recited in claim 1, wherein the planning tool is configured to generate the final configuration on a display to determine if plan objectives are met based on treatment probabilities for the target volume.
- The workstation as recited in claim 1, wherein the probability estimation module is configured to adjust the treatment probability distribution based upon at least perfusion in the target volume.
- A system, comprising: a workstation including a processor and a memory coupled to the processor, the memory storing a probability estimation module and a planning tool, wherein the probability estimation module is configured to define shapes and sizes of ablation volumes in accordance with a treatment probability distribution representing likelihood of complete treatment by ablation within each of the ablation volumes, determines a joint probability distribution for at least two planned ablations in a target volume, and computes a metric using a spatial representation of a joint probability map and the target volume, and wherein the planning tool permits assigning of the ablation volumes to discrete volumes of a target volume in accordance with a plan by determining a number and location of planned ablations within the target volume using the ablation volumes, and optimizes the metric to produce a final configuration of ablation volumes with an associated treatment probability distribution having spatially varying treatment probabilities within each of the ablation volumes; an ablation probe configured to ablate tissue in the target volume; and a display configured to display an image of the target volume with an overlay showing probability regions over the image of the target volume.
- The system as recited in claim 9, wherein the treatment probabilities include a color-coded probability distribution map showing a treatment status of the ablation volumes in a three-dimensional image of a subject.
- The system as recited in claim 9, wherein the probability estimation module determines size and shape of ablation volumes based upon one of physician's experience, simulation, experimentation and manufacturer specifications for an ablation probe.
- The system as recited in claim 9, wherein the probability estimation module is configured to update the treatment probability distribution in accordance with additional ablations to reflect cumulative effects of multiple ablations.
- The system as recited in claim 9, wherein the planning tool is configured to generate the final configuration on a display to determine if plan objectives are met based on the treatment probabilities for the target volume.
- The system as recited in claim 9, wherein the probability estimation module is configured to adjust the treatment probability distribution based upon at least perfusion in the target volume.
Citations (12)
- CN101859341A
- US2006200121A1
- US2008234700A1
- US2009136108A1
- US2009318804A1
- US6575969B1
- US9144461B2
- US9747684B2
- WO0209571A2
- WO2007129308A2
- WO2008090484A2
- WO2010064154A1
Record as JSON
{
"publication_number": "US10423757B2",
"country": "US",
"kind": "B2",
"title": "System and method for probabilistic ablation planning",
"abstract": "A system and method for ablation planning includes defining (502) shapes and sizes for one or more ablation volumes based on probability of treatment, and determining (510) a target volume to be treated. A procedure plan is provided (516) by determining a number and location of planned ablations within the target volume using the one or more ablation volumes. A joint probability distribution (520) is determined for at least two planned ablations in the target volume. A final configuration is visualized (530) to determine if plan objectives are met based on a probability of treatment for the target volume.",
"claims": [
"1. A workstation, comprising: a processor; and a memory coupled to the processor, the memory storing a probability estimation module and a planning tool, wherein the probability estimation module defines shapes and sizes of ablation volumes in accordance with a treatment probability distribution representing likelihood of complete treatment by ablation within each of the ablation volumes, determines a joint probability distribution for at least two planned ablations in a target volume, and computes a metric using a spatial representation of a joint probability map and the target volume, and wherein the planning tool assigns the ablation volumes to discrete volumes of the target volume in accordance with a plan by determining a number and location of planned ablations within the target volume using the ablation volumes, and optimizes the metric to produce a final configuration of ablation volumes with an associated treatment probability distribution having spatially varying treatment probabilities within each of the ablation volumes.",
"2. The workstation as recited in claim 1, further comprising a display for displaying treatment probabilities of the treatment probability relative to an image of the target volume.",
"3. The workstation as recited in claim 2, wherein the treatment probabilities are included a color-coded probability distribution map showing a treatment status of the ablation volumes in a three-dimensional image of a subject.",
"4. The workstation as recited in claim 1, wherein the probability estimation module is configured to determine size and shape of ablation volumes based upon one of physician's experience, simulation, experimentation and manufacturer specifications for an ablation probe.",
"5. The workstation as recited in claim 1, wherein the probability estimation module is configured to update the treatment probability distribution in accordance with additional ablations to reflect cumulative effects of multiple ablations.",
"6. The workstation as recited in claim 1, wherein the target volume includes a planned target volume (PTV).",
"7. The workstation as recited in claim 1, wherein the planning tool is configured to generate the final configuration on a display to determine if plan objectives are met based on treatment probabilities for the target volume.",
"8. The workstation as recited in claim 1, wherein the probability estimation module is configured to adjust the treatment probability distribution based upon at least perfusion in the target volume.",
"9. A system, comprising: a workstation including a processor and a memory coupled to the processor, the memory storing a probability estimation module and a planning tool, wherein the probability estimation module is configured to define shapes and sizes of ablation volumes in accordance with a treatment probability distribution representing likelihood of complete treatment by ablation within each of the ablation volumes, determines a joint probability distribution for at least two planned ablations in a target volume, and computes a metric using a spatial representation of a joint probability map and the target volume, and wherein the planning tool permits assigning of the ablation volumes to discrete volumes of a target volume in accordance with a plan by determining a number and location of planned ablations within the target volume using the ablation volumes, and optimizes the metric to produce a final configuration of ablation volumes with an associated treatment probability distribution having spatially varying treatment probabilities within each of the ablation volumes; an ablation probe configured to ablate tissue in the target volume; and a display configured to display an image of the target volume with an overlay showing probability regions over the image of the target volume.",
"10. The system as recited in claim 9, wherein the treatment probabilities include a color-coded probability distribution map showing a treatment status of the ablation volumes in a three-dimensional image of a subject.",
"11. The system as recited in claim 9, wherein the probability estimation module determines size and shape of ablation volumes based upon one of physician's experience, simulation, experimentation and manufacturer specifications for an ablation probe.",
"12. The system as recited in claim 9, wherein the probability estimation module is configured to update the treatment probability distribution in accordance with additional ablations to reflect cumulative effects of multiple ablations.",
"13. The system as recited in claim 9, wherein the planning tool is configured to generate the final configuration on a display to determine if plan objectives are met based on the treatment probabilities for the target volume.",
"14. The system as recited in claim 9, wherein the probability estimation module is configured to adjust the treatment probability distribution based upon at least perfusion in the target volume."
],
"cpc": [
"G06F 19/00",
"A61B 18/148",
"A61B 2018/00577",
"A61B 2034/104",
"A61B 34/10",
"A61B 90/37",
"G16H 50/50",
"G16Z 99/00"
],
"assignees": [
"KRUECKER JOCHEN",
"DALAL SANDEEP",
"WOOD BRADFORD JOHNS",
"XU SHENG",
"KONINKLIJKE PHILIPS NV"
],
"filing_date": "2011-11-07",
"publication_date": "2019-09-24",
"grant_date": "2019-09-24",
"priority_date": "2010-11-18",
"application_number": "US-201113885714-A",
"family_id": "45034022",
"citations": [
"CN101859341A",
"US2006200121A1",
"US2008234700A1",
"US2009136108A1",
"US2009318804A1",
"US6575969B1",
"US9144461B2",
"US9747684B2",
"WO0209571A2",
"WO2007129308A2",
"WO2008090484A2",
"WO2010064154A1"
]
}
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