Fieldcure Co., Ltd.

Osong Medical Innovation Foundation, Korea University Research and Business Foundation

Myong Geun Yoon

Jong Hyun Kim

Geon Oh

Hee Hun Sung

Ji Won Sung

Jae Hyeon Seo

The present disclosure provides a system for planning electric field cancer treatment based on absorbed energy including: an image classification unit to classify a patient's medical image into an organ and a tumor; a property information setting unit to set property information for each region classified by the image classification unit; a prescription information determination unit to set a prescription method; a dose calculation unit to initially set the number and location of electrodes used for electric field cancer treatment and the electric field intensity for each electrode; and a dose optimization unit to optimize the dose by changing at least one electrode.

System and method for planning electric field cancer treatment based on absorbed energy

An electric field cancer treatment apparatus using a rotating alternating current (AC) electric field according to an embodiment of the present disclosure includes a plurality of electrode pairs configured to transmit AC electric fields to a target area in a body, a plurality of AC electric field generators respectively connected to the plurality of electrode pairs and configured to generate AC electric fields to be applied to the plurality of electrode pairs, and a controller configured to control generation of AC electric fields by the plurality of AC electric field generators.

Electric field cancer treatment apparatus and method using rotating alternating current electric field

The present disclosure describes an apparatus and method for alternating electric fields therapy using an optimization algorithm, and an apparatus for alternating electric fields therapy for treating tumors in a patient by applying electric fields to the tumors and normal tissues using one or more pairs of electrode pads containing most of the electrodes and including an image classifier to classify at least one organ in the patient's image for each organ, and an electric field optimizer to set the number and position of the applied electrodes based on the classified tumors and normal tissues, arrange the electrodes on electrode pads of preset size, and determine different magnitudes of voltage for the set of electrodes.

Growing community of inventors

Gyeonggi-do, South Korea

Myong Geun Yoon