Towards Cross-modal Organ Translation and Segmentation: A Cycle- and Shape-Consistent Generative Adversarial Network

In current clinical practice, multiple imaging modalities may be available for disease diagnosis and surgical planning (Cao et  al., 2017; Chen et al., 2017). For a specific patient group, a certain imaging modality might be more popular than others. Due to the proliferation of multiple imaging modalities, there is a strong clinical need to develop a cross-modality image transfer analysis system to assist clinical treatme nt. For example, synthesized computed tomography (CT) data can provide X-ray attenuation map for radiation therapy planning (Burgos et al., 2015).

Source: Medical Image Analysis - December 19, 2018 Category: Radiology Authors: Jinzheng Cai, Zizhao Zhang, Lei Cui, Yefeng Zheng, Lin Yang Source Type: research