Image-guided lung tumor planning and ablation system
AssigneeBroncus Medical Inc.
InventorsYixun Liu, Ronnarit Cheirsilp, Kun-Chang Yu, Henky Wibowo
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Abstract
A lung tumor ablation planning system includes a processor operable to compute a target ablation zone and a set of optimum ablation parameters to create the target lesion with the ablation catheter. A predictive algorithm is employed to model the ablation zone based on training data. Various ablation plans are displayed to the physician corresponding to various metrics including without limitation maximizing tumor ablation coverage, shortest travel, obstacle avoidance, and shortest ablation time. Related methods are described.
Claims24
A bronchoscopic-based system for planning to ablate a target tissue in a lung of a patient with an ablation applicator comprising:
- a storage for receiving image data of the lung of the patient including the target tissue to be ablated;
- and
- a processor programmed and operable to:
- compute, based on the image data of the lung, at least one candidate path for the ablation applicator to be advanced through the airway of the patient to a candidate point of entry (POE), and from the POE to the target tissue;
- select a learned ablation model from a plurality of candidate models based on a set of candidate ablation parameters and at least one characteristic of the target tissue, wherein the plurality of candidate models are based on past experimental data, and wherein the past experimental data includes measurements from ablation testing on sample tissue;
- and
- compute an ablation zone based on said learned ablation model to maximize ablation coverage of the target tissue for each said candidate path.
A bronchoscopic-based system for predicting an ablation zone for ablating a target tissue in a lung of a patient with an ablation applicator comprising:
- a storage for receiving image data of the lung of the patient including the target tissue to be ablated, and a first experimental data, wherein the first experimental data was generated by:
- ablating a first tissue according to a first set of ablation parameters,
- taking measurements of the first tissue subsequent to the ablating to obtain the first experimental data;
- and
- a processor programmed and operable to:
- compute a plurality of candidate models based on the first experimental data;
- compute, based on the image data of the lung, at least one candidate path for the ablation applicator to be advanced through the airway of the patient, to a candidate point of entry (POE), and through the airway wall to the target tissue;
- and
- determine a first learned ablation model based on the plurality of candidate models, wherein the first learned ablation model predicts ablation zone size for each said candidate path.
A bronchoscopic-based system for planning to ablate a target tissue in a lung of a patient with an ablation applicator comprising:
- a storage for receiving image data of the lung of the patient including the target tissue to be ablated;
- and
- a processor programmed and operable to:
- compute, based on the image data of the lung, at least one candidate path for the ablation applicator to be advanced through the airway of the patient to a candidate point of entry (POE), and from the POE to the target tissue;
- create a learned ablation model based on past experimental data, and wherein the past experimental data includes measurements from ablation testing on sample tissue;
- and
- compute an ablation zone and ablation treatment parameters based on said learned ablation model to maximize ablation coverage of the target tissue for each said candidate path.
Dependencies are inferred from the claim text.