XeMRI to CT lung image registration enhanced with personalized 4DCT-derived motion model
This paper presents a novel method for multi-modal lung image registration constrained by a motion model derived from lung 4DCT. The motion model is estimated based on the results of intra-patient image registration using Principal Component Analysis. The approach with a prior motion model is partic...
| Главные авторы: | , , , , , |
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| Другие авторы: | |
| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
Springer International Publishing
2018
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