Learning deep similarity metric for 3D MR-TRUS image registration.
Grant HaskinsJochen KrueckerUwe KrugerSheng XuPeter A PintoBrad J WoodPingkun YanPublished in: International journal of computer assisted radiology and surgery (2018)
A similarity metric that is learned using a deep neural network can be used to assess the quality of any given image registration and can be used in conjunction with the aforementioned optimization framework to perform automatic registration that is robust to poor initialization.