发明名称 Method for Classifying Tissue Response to Cancer Treatment Using Photoacoustics Signal Analysis
摘要 A method for monitoring tissue response to cancer treatment by analyzing photoacoustic signals is provided. The method is capable of classifying different levels of tumor response for a tumor under treatment. Photoacoustic signals are obtained by scanning a tumor before and after treatment in given time intervals. Classification of the tumor response is achieved based on statistical features extracted from the photoacoustic signals. The similarities and dissimilarities between the statistical features are used to identify and classify the changes in tissue as the tumor responds to the treatment. To visualize the similarities and dissimilarities, a computed similarity metric is mapped to a multidimensional space, such as a two- or three-dimensional space. In this produced tissue response map, each point represents the tumor in a particular condition. Points that are farther apart in the tissue response map indicate more changes in tumor tissue due to changing condition and vise versa.
申请公布号 US2014350378(A1) 申请公布日期 2014.11.27
申请号 US201414169421 申请日期 2014.01.31
申请人 Pourebrahimi Behnaz;Kolios Michael Christopher;Czarnota Gregory Jan 发明人 Pourebrahimi Behnaz;Kolios Michael Christopher;Czarnota Gregory Jan
分类号 A61B5/00 主分类号 A61B5/00
代理机构 代理人
主权项 1. A method for monitoring physical changes in a tissue in response to a treatment using a photoacoustic measurement system, the steps of the method comprising: a) acquiring photoacoustic data from at least one location within a tissue in a first condition using a photoacoustic measurement system; b) acquiring photoacoustic data from the at least one location within the tissue in a second condition that is different than the first condition using the photoacoustic measurement system; c) computing a similarity metric between the photoacoustic signals acquired in step a) and the photoacoustic signals acquired in step b); d) producing a treatment response map by mapping the photoacoustic data acquired in steps a) and b) into a multidimensional space using the similarity metric computed in step c); e) classifying the first condition and second condition as corresponding to a particular treatment response by comparing locations of the mapped photoacoustic data in the treatment response map.
地址 Toronto CA