Regularization method of fast optimization in electrical impedance tomography

• Main Authors: DONG XIUZHEN, JI ZHENYU, FU FENG, LIU RUIGANG, YOU FUSHENG, DAI MENG, LI YANDONG, XU CANHUA, SHI XUETAO
• Format: Patent
• Language: Chinese; English
• Published: 09.10.2013
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

The invention discloses a regularization method of fast optimization in electrical impedance tomography. According to the method, a sparse dissection model and a dense dissection model are built, the optimal regularization parameter of the sparse dissection model is obtained in a steady and effective regular parameter optimization method, then the optimal regularization parameter of the sparse dissection model is used as an initial value of a regularization parameter of the dense dissection model, residual errors of the sparse dissection model are used as estimated residual errors of the dense dissection model, and the optimal regularization parameter of the dense dissection model is obtained by using an iteration regularization-like method. The method achieves regularization of fast optimization of the dense dissection model, and guarantees imaging speed and accuracy.