Abstract: A method for generating a transducer layout for delivering tumor treating fields includes storing medical images of a subject, identifying one of the medical images as an anchor medical image, and registering computed tomography medical images with magnetic resonance imaging medical images. The method further includes segmenting abnormal tissue in the medical images from other tissue types and defining a region of interest (ROI) in the medical images. The method further includes creating a 3D model of the subject. The method further includes generating a plurality of transducer layouts for application of tumor treating fields to the subject, selecting at least two of the transducer layouts as recommended transducer layouts, presenting the recommended transducer layouts, receiving a user selection of at least one recommended transducer layout, and providing a report for the selected recommended transducer layout(s).

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

Abstract: 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.

Abstract: A method for generating a transducer layout for delivering tumor treating fields includes storing medical images of a subject, identifying one of the medical images as an anchor medical image, and registering computed tomography medical images with magnetic resonance imaging medical images. The method further includes segmenting abnormal tissue in the medical images from other tissue types and defining a region of interest (ROI) in the medical images. The method further includes creating a 3D model of the subject. The method further includes generating a plurality of transducer layouts for application of tumor treating fields to the subject, selecting at least two of the transducer layouts as recommended transducer layouts, presenting the recommended transducer layouts, receiving a user selection of at least one recommended transducer layout, and providing a report for the selected recommended transducer layout(s).

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

Abstract: 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.

Abstract: 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.

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

Abstract: A computer-implemented method for treatment planning for administering tumor treating fields to a subject, the method comprising: presenting on a display a slice through a medical image of the subject, wherein the medical image comprises voxels; and determining a segmentation of a minimum number of voxels of at least one tissue type in the slice of the medical image; receiving a user selection to automatically generate a region of interest (ROI) in the medical image for application of tumor treating fields to the subject; and automatically generating the region of interest in the medical image for application of tumor treating fields to the subject based on the segmentation of the minimum number of voxels of at least one tissue type in the slice of the medical image.

Abstract: A method for generating a transducer layout for delivering tumor treating fields includes storing medical images of a subject, identifying one of the medical images as an anchor medical image, and registering computed tomography medical images with magnetic resonance imaging medical images. The method further includes segmenting abnormal tissue in the medical images from other tissue types and defining a region of interest (ROI) in the medical images. The method further includes creating a 3D model of the subject. The method further includes generating a plurality of transducer layouts for application of tumor treating fields to the subject, selecting at least two of the transducer layouts as recommended transducer layouts, presenting the recommended transducer layouts, receiving a user selection of at least one recommended transducer layout, and providing a report for the selected recommended transducer layout(s).

Abstract: A computer-implemented method for enhancing a medical image, the method comprising: obtaining a first medical image of a subject, the first medical image having a plurality of voxels, the first medical image missing voxels in a portion of a region of interest; obtaining a second medical image of the subject, the second medical image having a plurality of voxels, the second medical image having voxels in the portion of the region of interest; and generating a combined medical image based on the first medical image and the second medical image, wherein the combined medical image is not missing voxels in the portion of the region of interest.

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

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.