首页> 外国专利> Automated method for classification and quantification of human brain metabolism

Automated method for classification and quantification of human brain metabolism

机译：自动化分类和定量人脑代谢的方法

页面导航

摘要
著录项
相似文献

摘要

A method for analyzing human brain physiology and pathology according to metabolic data obtained by non-invasive means. Metabolism is detected using in vivo proton nuclear magnetic resonance spectroscopy (. sup.1 H MRS) using pulse sequences that provide nuclear magnetic resonance signals from a living human brain. Factors which might decrease performance of artificial neuronal network analysis, e.g. the residual water signal, are eliminated from the nuclear magnetic resonance signal, e.g., by means of a singular value decomposition algorithm. Moreover, the artificial neuronal network analysis accepts as input all of the metabolite resonances, not just selected features, for analysis. The artificial neuronal network analysis yields metabolite concentrations and the nature of tissue type in focal lesions, such as tumors, stroke lesions, epileptic foci, traumatic scars, and also in more diffuse pathologies such as metabolic brain disorders as well as in post- therapeutic changes. The method can provide automated classification procedure of human brain tissue histology for clinical use.

机译：一种根据通过非侵入性手段获得的代谢数据分析人脑生理和病理的方法。使用体内质子核磁共振波谱（。1 H MRS）检测脉冲，该脉冲序列可提供来自活人脑的核磁共振信号。可能会降低人工神经网络分析性能的因素，例如例如通过奇异值分解算法从核磁共振信号中消除残留水信号。而且，人工神经网络分析接受所有代谢物共振作为分析的输入，而不仅仅是选定的特征。人工神经网络分析可以得出局灶性病变（例如肿瘤，中风病变，癫痫病灶，外伤性疤痕）以及更弥散性病变（例如代谢性脑疾病）以及治疗后变化的代谢物浓度和组织类型的性质。。该方法可以提供用于临床用途的人脑组织组织学的自动分类程序。

著录项

公开/公告号US5887588A

专利类型
公开/公告日1999-03-30

原文格式PDF
申请/专利权人 USENIUS;JUSSI-PEKKA R.;KAUPPINEN;RISTO A.;TOUHIMETSA;SAKARI;HILTUNEN;YRJO;VAINIO;PAMLI;ALA-KORPELA;MIKA J.;
展开▼

申请/专利号US19950394341
发明设计人 JUSSI-PEKKA R. USENIUS;RISTO A. KAUPPINEN;SAKARI TOUHIMETSA;YRJO HILTUNEN;PAMLI VAINIO;MIKA J. ALA-KORPELA;
展开▼

申请日1995-02-23
分类号A61B5/055;
国家 US
入库时间 2022-08-22 02:08:27

相似文献

专利
外文文献
中文文献