Abstract: A method for applying tumor treating fields, the method comprising: determining, based on two-dimensional (2D) image data associated with a portion of a subject's body, one or more landmarks and one or more skin surface conditions; determining a representation of the one or more landmarks and the one or more skin surface conditions in three-dimensional (3D) space; determining, based on the representation of the one or more landmarks and the one or more skin surface conditions in 3D space, a plurality of placement positions for one or more transducer arrays on the subject's body for applying tumor treating fields; determining, based on the one or more skin surface conditions in 3D space, one or more recommended placement positions of the plurality of placement positions for the one or more transducer arrays; and outputting an indication of the one or more recommended placement positions for the one or more transducer arrays.

Abstract: A method for applying tumor treating fields, the method comprising: determining, based on two-dimensional (2D) image data associated with a portion of a subject's body, one or more landmarks and one or more skin surface conditions; determining a representation of the one or more landmarks and the one or more skin surface conditions in three-dimensional (3D) space; determining, based on the representation of the one or more landmarks and the one or more skin surface conditions in 3D space, a plurality of placement positions for one or more transducer arrays on the subject's body for applying tumor treating fields; determining, based on the one or more skin surface conditions in 3D space, one or more recommended placement positions of the plurality of placement positions for the one or more transducer arrays; and outputting an indication of the one or more recommended placement positions for the one or more transducer arrays.

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

Abstract: A method for treatment planning for delivering tumor treating fields to a subject, the method comprising: obtaining a plurality of treatment locations for delivering tumor treating fields to a subject, each treatment location comprising a plurality of transducer locations for delivering tumor treating fields to the subject; for each treatment location, locating a plurality of transducers on the subject, wherein each transducer is located on the subject according to a respective transducer location for the treatment location; delivering tumor treating fields to the subject using the transducers located on the subject; recording data from delivering tumor treating fields to the subject; and removing the plurality of transducers from the subject; and selecting at least one of the treatment locations for further delivering tumor treating fields to the subject.

Abstract: A method for generating a transducer layout for delivering tumor treating fields to a subject includes presenting a user-selectable icon to display a slice through medical images, which can be MRI medical images and CT medical images registered together. The slice includes corresponding slices through the MRI and CT medical images overlaid on each other. The medical images include voxels. The method further includes presenting a user-selectable icon to manually segment the slice through the medical images to obtain a manually segmented slice through the medical images. The method further includes presenting a user-selectable icon to automatically clean up the manually segmented slice to obtain a cleaned up manually segmented slice through the medical images. The method further includes presenting a user-selectable icon to generate transducer layouts for application of tumor treating fields to the subject based on the cleaned up manually segmented slice through the medical images.

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 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: 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 computer-implemented method for generating a three-dimensional (3D) composite model of a region of a subject, the method comprising: generating a 3D clinical model of the region of the subject based on one or more images of the region of the subject; obtaining a 3D generic model of the region of a generic subject; combining the 3D clinical model and the 3D generic model using an affine transformation, a bending transformation, and a squeezing transformation of the 3D generic model to obtain the 3D composite model of the subject; and displaying the composite 3D model on a display.

Abstract: A computer-implemented method to background noise from a medical image comprising voxels, each voxel having a voxel intensity, the method comprising: generating a mask based on the medical image, wherein the mask comprises a foreground portion designating foreground voxels, a background portion designating background voxels, and a perimeter separating the foreground portion from the background portion; designating a perimeter portion of the mask, the perimeter portion enclosing the perimeter, a subset of the foreground portion, and a subset of the background portion; designating a threshold for the perimeter portion to separate voxels based on voxel intensity; filtering the medical image with the mask and the threshold to obtain a filtered image; and displaying the filtered image on a display.

Abstract: A computer-implemented method to determine placement of transducers on a subject's body for applying tumor treating fields, the method including: determining a pair of locations on the subject's body for placement of a pair of transducer arrays based on image data; receiving a detected concentration of a target molecule within a target region of the subject's body from a molecular imaging apparatus, the concentration of the target molecule being detected after tumor treating fields are induced between the pair of transducer arrays; determining, based on the detected concentration of the target molecule, how the tumor treating fields were distributed in the target region; determining a recommendation of a second pair of locations on the subject's body for placement of the pair of transducer arrays based on the distribution of the tumor treating fields in the target region; and outputting the recommendation of the second pair of locations to a user.

Abstract: A method of applying tumor treating fields to a region of interest of a subject's body corresponding to a tumor, the method including: alternately applying to the region of interest a first electric field between a first pair of locations of the subject's body and a second electric field between a second pair of locations of the subject's body; detecting a change in the region of interest of the subject's body; ceasing applying the first and second electric fields; selecting, based on the detected change, a third pair of locations of the subject's body and a fourth pair of locations of the subject's body, the third and fourth pairs of locations being different than the first and second pairs of locations; and alternately applying to the region of interest a third electric field between the third pair of locations and a fourth electric field between the fourth pair of locations.

Abstract: A computer-implemented method for tumor segmentation, the method comprises obtaining image data of a region of interest of a subject's body, wherein the region of interest corresponds to a tumor of the subject's body, generating two or more tumor segmentation predictions based on the image data, calculating a divergence between the two or more tumor segmentation predictions, and generating a visualization of tumor segmentation uncertainty based on the calculated divergence between the two or more tumor segmentation predictions.

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 for applying tumor treating fields, the method comprising: determining, based on two-dimensional (2D) image data associated with a portion of a subject's body, one or more landmarks and one or more skin surface conditions; determining a representation of the one or more landmarks and the one or more skin surface conditions in three-dimensional (3D) space; determining, based on the representation of the one or more landmarks and the one or more skin surface conditions in 3D space, a plurality of placement positions for one or more transducer arrays on the subject's body for applying tumor treating fields; determining, based on the one or more skin surface conditions in 3D space, one or more recommended placement positions of the plurality of placement positions for the one or more transducer arrays; and outputting an indication of the one or more recommended placement positions for the one or more transducer arrays.

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

Abstract: Methods, systems, and apparatuses are described for fast approximation of electric field distribution.