Novocure Gmbh

Noa Urman

Zeev Bomzon

Yoram Wasserman

Reuven Ruby Shamir

Yoram Palti

Eilon Kirson

Cornelia Wenger

Pedro Michael Cavaleiro Miranda

Yana Glozman

Hadas Sara Hershkovich

Ariel Naveh

Oren Ben Zion Bakalo

Shay Levi

Eduard G Fedorov

Methods, systems, and apparatuses are described for associating dielectric properties with a patient model.

Methods, systems, and apparatuses for associating dielectric properties with a patient model

A method of assisting transducer placements on a subject's body for applying tumor treating fields includes: determining, based on one or more images associated with a portion of a subject's body, a first image data, wherein the first image data comprises one or more recommended transducer placement positions; determining, based on the one or more images, a second image data, wherein the second image data comprises one or more transducer placement positions; registering the second image data to the first image data; and generating a composite data comprising the one or more transducer placement positions and the one or more recommended transducer array placement positions.

Methods, systems, and apparatuses for guiding transducer placements for tumor treating fields

Methods, systems, and apparatuses are described for optimizing placement of transducer arrays on a patient.

Methods, systems, and apparatuses for optimizing transducer array placement

A computer-implemented method to generate a three-dimensional model, wherein the computer comprises one or more processors and memory accessible by the one or more processors, and the memory stores instructions that when executed by the one or more processors cause the computer to perform the computer-implemented method, includes: receiving first image data of a first portion of the patient's body in a first image modality, receiving second image data of a second portion of the patient's body in a second image modality, modifying the second image data from the second image modality to the first image modality, and generating, based on the first image data in the first image modality and the modified second image data in the second image modality, a three-dimensional model of the first portion and the second portion of the patient's body.

Methods, systems, and apparatuses for medical image enhancement to optimize transducer array placement

The planning of treatment using tumor treating fields (TTFields) in a portion of a subject's body (e.g., the subject's head) can be improved by obtaining an image of the body portion, and generating, based on the image, a 3D model of electrical conductivity. A target volume within the 3D model is identified, and a set of model electrodes is added to the 3D model at given locations. Then, for each voxel in the target volume, the power loss density (PLD) that will be present when TTFields are eventually applied is determined. The same process is repeated for a plurality of different electrode locations. Finally, the set of electrode locations that yielded the best PLD is selected, and a description of those locations is output.

Using power loss density and related measures to quantify the dose of tumor treating fields (TTFields)

When electrodes are used to impose an electric field in target tissue within an anatomic volume (e.g., to apply TTFields to treat a tumor), the position of the electrodes can be optimized by generating a 3D map of electrical conductivity or resistivity of the anatomic volume. A location of the target tissue within the anatomic volume is identified, and a dipole is added to the 3D map at a location that corresponds to the target tissue. positions for the electrodes that maximize a potential attributable to the dipole are determined based on the 3D map of electrical conductivity or resistivity and the location of the dipole.

Optimizing positions of electrodes for applying tumor treating fields (TTFields) by adding a dipole to a 3D model

Embodiments receive images of a body area of a patient; identify abnormal tissue in the image; generate a data set with the abnormal tissue masked out; deform a model template in space so that features in the deformed model template line up with corresponding features in the data set; place data representing the abnormal tissue back into the deformed model template; generate a model of electrical properties of tissues in the body area based on the deformed and modified model template; and determine an electrode placement layout that maximizes field strength in the abnormal tissue by using the model of electrical properties to simulate electromagnetic field distributions in the body area caused by simulated electrodes placed respective to the body area. The layout can then be used as a guide for placing electrodes respective to the body area of the patient to apply TTFields to the body area.

Treating patients with TTFields with the electrode positions optimized using deformable templates

When electrodes are used to impose an electric field in target tissue within an anatomic volume (e.g., to apply TTFields to treat a tumor), the position of the electrodes can be optimized by obtaining electrical conductivity measurements in an anatomic volume and generating a 3D map of the conductivity directly from the obtained electrical conductivity or resistivity measurements, without segmenting the anatomic volume into tissue types. A location of the target tissue is identified within the anatomic volume, and the positions for the electrodes are determined based on the 3D map of electrical conductivity and the position of the target tissue.

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Pardes Hanna Carcur, Israel

Noa Urman