TTFIELD treatments with electrode position optimization on head based on MRI-based conductivity measurements

A technology for measuring results and conductivity, applied in electrodes, therapy, electrotherapy, etc., can solve problems affecting head field distribution, poor layout, etc.

Pending Publication Date: 2021-09-03
ノボキュアゲーエムベーハー
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These changes may affect the field distribution within the head and tumor, resulting in NovoTal TM Cases where the recommended layout is poor

Method used

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  • TTFIELD treatments with electrode position optimization on head based on MRI-based conductivity measurements
  • TTFIELD treatments with electrode position optimization on head based on MRI-based conductivity measurements
  • TTFIELD treatments with electrode position optimization on head based on MRI-based conductivity measurements

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Embodiment Construction

[0030] Overcoming NovoTal TM One approach to system limitations is to optimize the array layout according to the array position based on an accurate calculation of the electric field distribution within the patient's head. A patient can be a human or other type of mammal or other animal. This can be done by building a realistic computational model describing the distribution of electrical conductivity within the patient's head. This can be achieved using MRI data. However, to date, deriving such realistic computational head models is time-consuming and requires extensive human intervention. The reason for this is that the model is obtained by classifying MR images into various tissue types and assigning representative conductivity values ​​to each tissue type. Although segmentation of the outer layers of the head, such as the scalp, skull and cerebrospinal fluid (CSF), can be achieved without major difficulty with standard software, cortical tissue has a very complex geomet...

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Abstract

Herein, when an electrode is used to apply an electric field in a target tissue within an anatomical volume (e.g., applying TTField to treat a tumor), the position of the electrode may be optimized by obtaining conductivity measurements in the anatomical volume and generating a 3D map of conductivity directly from the obtained conductivity or resistivity measurements without dividing the anatomical volume into tissue types. A location of the target tissue is identified within the anatomical volume, and a location for the electrode is determined based on the 3D map of conductivity and the location of the target tissue.

Description

[0001] This application is a divisional application of the following applications: Application date: October 28, 2016; Application number: 201680062777.8; Invention title "TTFIELD treatment with electrode position optimization on the head based on MRI-based conductivity measurements". [0002] Cross References to Related Applications [0003] This application claims the benefit of U.S. Provisional Application 62 / 247,314 (filed October 28, 2015) and U.S. Provisional Application 62 / 294,372 (filed February 12, 2016), each of which is incorporated by reference in its entirety way incorporated into this article. Background technique [0004] The Tumor Treatment Field or TTField is a low intensity (eg 1 V / cm to 3 V / cm) alternating electric field in the medium frequency range (100 kHz to 300 kHz). This non-invasive treatment targets solid tumors and is described in US Patent 7,565,205, the entire contents of which are incorporated herein by reference. TTField disrupts cell divisio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N1/36A61N1/40A61B5/053A61B5/0531A61B5/00A61N1/04A61N1/32A61N1/08A61B5/055G06T11/00G16Z99/00
CPCA61N1/36025A61N1/40A61B5/053A61B5/0531A61N1/36031A61N1/36002A61B5/0042A61N1/0456A61N1/32A61N1/08A61B5/055A61N1/0476G06T11/005G06T11/008G06T2207/10088G06T2207/30016G16H50/50G16Z99/00G16H20/30A61B5/316A61B5/4064A61B5/24A61B5/05
Inventor 兹夫·波姆森科妮莉亚·温格佩德罗·迈克尔·卡瓦莱罗·米兰达诺亚·乌尔曼科尔森·埃隆尤伦·沃瑟曼尤伦·帕提
Owner ノボキュアゲーエムベーハー
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