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AssigneeTechsomed Medical Technologies Ltd
InventorsMichael Schwenke, Yehonatan Ben David, Tom Edlund
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Ultrasound (US) modules and methods in US image-guided systems for thermal ablation are provided, which utilize regular two-dimensional (2D) B mode US images to evaluate in real-time the damage achieved by the thermal ablation, including the prediction of tissue damage immediately after completion of the thermal ablation procedure, as well as the expected damage after 24 hours. Three-dimensional (3D) biotrace map (BTM) representation(s) may be constructed from the received US images by applying deep neural networks (DNN) to segment tissue damage in US frames, and present the damage to the user in 3D and/or in virtual sections through the BTM representation(s). Using regular 2D US probes allows much flexibility in operating the US probe and imaging the target successfully, while the construction of the 3D BTM representation(s) enables accumulating, updating and analyzing the volume data to provide a full and updating representation of the ablation procedure.
An ultrasound module in an ultrasound image-guided system for thermal ablation, the ultrasound module configured to receive at least one B-mode ultrasound (US) tissue image during the thermal ablation, and to derive therefrom a biotrace map (BTM) that provides a tissue damage assessment—by applying at least one deep neural network (DNN) to segment tissue damage in the at least one received tissue image to yield the BTM, wherein:
An ultrasound image-guided system for thermal ablation, the system comprising an ultrasound module operable in the ultrasound image-guided system, the ultrasound module configured to receive at least one B-mode ultrasound (US) tissue image during the thermal ablation, and to derive therefrom a biotrace map (BTM) that provides a tissue damage assessment—by applying at least one deep neural network (DNN) to segment tissue damage in the at least one received tissue image to yield the BTM, wherein:
A method comprising deriving a biotrace map (BTM) during thermal ablation from at least one B-mode ultrasound (US) tissue image received during the thermal ablation by applying at least one deep neural network (DNN) to segment tissue damage in the at least one received ultrasound tissue image, wherein:
Dependencies are inferred from the claim text.