Research of medical image fusion based on data set of digital visible human
Shaoxiang Zhang · Zhongguo yixue yingxiang jishu · 2009
Objective To provide integrated technical project and process code parameter for clinical application of data set of digital visible human. Methods The pelvic cavity structures of Chinese Virtual Human (CVH) data set were segmented using image transparency method and each image was smoothed by eroding and dilating,then fused successfully with CT of the same sample. Results The CVH color cross-sectional images of female pelvic cavity were transformed to DICOM 3.0 images with Amira 4.1 and Matlab software. A data set of female pelvic DICOM files from CVH was set up to apply in radiation therapy system. Conclusion The digital model of female pelvic cavity with important organs segmented can well reflect the exposure doses of patients,so it is of important value to get target therapy areas,forecast radiotherapy side effects,optimize radiotherapy plan and improve curative effect. It can help to promote clinical application of digital visible human.