发明名称 MEDICAL IMAGE PROCESSING METHOD AND IMAGE PROCESSING SYSTEM
摘要 A patient image record and a reference image record are read for capturing anatomical features of a patient on the basis of medical image records is provided. Joints are localized in the patient image record and in the reference image record by means of a pattern recognition method. At the localized joints, the patient image record is segmented into patient image segments and the reference image record is segmented into reference image segments. According to the invention, a segment-individual image deformation is established for a respective reference image segment or patient image segment, by means of which image deformation image structures of the reference image segment are mapped to corresponding image structures of the patient image segment). Then, an anatomical feature is captured on the basis of the segment-individual maps between the reference image segments) and the patient image segments.
申请公布号 US2016379362(A1) 申请公布日期 2016.12.29
申请号 US201615186572 申请日期 2016.06.20
申请人 SIEMENS HEALTHCARE GMBH 发明人 COSTA MARIA JIMENA
分类号 G06T7/00;G06K9/46;G06T3/00 主分类号 G06T7/00
代理机构 代理人
主权项 1. A medical image processing method for capturing anatomical features of a patient on a basis of medical image records, comprising: a) reading a patient image record; b) reading a reference image record; c) utilizing a pattern recognition method to localize joints in the patient image record and in the reference image record; d) at the localized joints, segmenting the patient image record into patient image segments and segmenting the reference image record) into reference image segments; e) establishing a segment-individual image deformation for a respective reference image segment or patient image segment, by means of which image deformation image structures of the reference image segment are mapped to corresponding image structures of the patient image segment; and f) capturing an anatomical feature on a basis of the segment-individual maps between the reference image segments and the patient image segments.
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