Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

@article{Yang2020LongitudinalIR,
  title={Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination},
  author={Qianye Yang and Yunguan Fu and Francesco Giganti and Nooshin Ghavami and Qingchao Chen and Julia Alison Noble and Tom Vercauteren and Dean C. Barratt and Yipeng Hu},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.13002}
}
Morphological analysis of longitudinal MR images plays a key role in monitoring disease progression for prostate cancer patients, who are placed under an active surveillance program. In this paper, we describe a learning-based image registration algorithm to quantify changes on regions of interest between a pair of images from the same patient, acquired at two different time points. Combining intensity-based similarity and gland segmentation as weak supervision, the population-data-trained… 
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