Ultrasound Fusion Image Error Correction Using Subject-specific Liver Motion Model and Automatic Image Registration

Ultrasound fusion imaging is an emerging tool and benefits a variety of clinical applications, such as image-guided diagnosis and treatment of hepatocellular carcinoma and unresectable liver metastases. However, respiratory liver motion-induced misalignment of multimodal images (i.e., fusion error) compromises the effectiveness and practicability of this method. The purpose of this paper is to develop a subject-specific liver motion model and automatic registration-based method to correct the fusion error.

Source: Computers in Biology and Medicine - October 12, 2016 Category: Bioinformatics Authors: Minglei Yang, Hui Ding, Lei Zhu, Guangzhi Wang Source Type: research