AUTOMATIC CHANGE DETECTION IN MEDICAL IMAGES

• Main Authors: PHEIFFER THOMAS, MANSI TOMMASO, LIAO RUI, MIAO SHUN, SUEHLING MICHAEL, DYBAN PAVLO
• Format: Patent
• Language: Chinese; English
• Published: 05.03.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

Systems and methods are provided for identifying pathological changes in follow up medical images. Reference image data is acquired. Follow up image data is acquired. A deformation field is generatedfor the reference image data and the follow up data using a machine-learned network trained to generate deformation fields describing healthy, anatomical deformation between input reference image dataand input follow up image data. The reference image data and the follow up image data are aligned using the deformation field. The co-aligned reference image data and follow up image data are analyzed for changes due to pathological phenomena. 提供了用于识别跟进医学图像中的病理变化的系统和方法。获取参考图像数据。获取跟进图像数据。使用机器学习的网络为参考图像数据和跟进数据生成变形场，该机器学习的网络被训练以生成描述输入参考图像数据和输入跟进图像数据之间的健康解剖变形的变形场。使用变形场对准参考图像数据和跟进图像数据。针对由于病理现象引起的变化分析共同对准的参考图像数据和跟进图像数据。