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Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination

机译：基于快速神经网络的图像分割和放射性药物摄取确定的系统和方法

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摘要

Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific organs and/or tissue. In certain embodiments, the accurate identification of one or more such volumes can be used to determine quantitative metrics that measure uptake of radiopharmaceuticals in particular organs and/or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and/or determine efficacy of a treatment modality.

机译：本文呈现的是提供对对象的三维（3D）医学图像的自动分析的系统和方法，以便自动识别对应于特定器官和/或组织的3D图像内的特定3D体积。在某些实施方案中，一种或多种这种体积的准确识别可用于确定测量特定器官和/或组织区域的放射性药物摄取的定量度量。这些摄取度量可用于评估受试者中的疾病状态，确定对象的预后，和/或确定治疗方式的疗效。

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公开/公告号US10973486B2

专利类型
公开/公告日2021-04-13

原文格式PDF
申请/专利权人 PROGENICS PHARMACEUTICALS INC.;EXINI DIAGNOSTICS AB;
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申请/专利号US201816003006
发明设计人 KARL VILHELM SJÖSTRAND;JENS FILIP ANDREAS RICHTER;KERSTIN ELSA MARIA JOHNSSON;ERIK KONRAD GJERTSSON;
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申请日2018-06-07
分类号G06K9/46;A61B6;G06T7;G06T5/30;A61B6/03;A61K51/04;G06T15/08;G06T7/143;G06T7/11;G06N3/08;G06F3/0484;G06N3/04;
国家 US
入库时间 2022-08-24 18:11:33

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