MEDICAL IMAGE ACQUISITION WITH SEQUENCE PREDICTION USING DEEP LEARNING

• Main Authors: NADAR MARIAPPAN S, ODRY BENJAMIN L, MAILHE BORIS
• Format: Patent
• Language: Chinese; English
• Published: 29.10.2019
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention relates to medical image acquisition with sequence prediction using deep learning. Automated sequence prediction is provided for a medical imaging session including a self-assessment mechanism. An initial scout sequence is performed of a patient (11) or object. The initial scout sequence is validated. An abbreviated acquisition protocol (45) is performed. The abbreviated acquisitionprotocol is validated. Additional sequences are performed. The sequences may also be configured based on the analysis of the previous scans using deep learning-based reasoning to select the next appropriate settings and procedures. 利用使用深度学习的序列预测的医学图像采集。为包括自我评估机制的医学成像会话提供自动化序列预测。对患者（11）或对象执行初始侦察序列。验证初始侦察序列。执行缩略采集方案（45）。验证缩略采集方案（45）。执行附加序列。还可以基于使用基于深度学习的推理的先前扫描的分析来配置序列，以选择下一个适当的设置和过程。