MRF-based deformable registration and ventilation estimation of lung CT.
Deformable image registration is an important tool in medical image analysis. In the case of lung computed tomography (CT) registration there are three major challenges: large motion of small features, sliding motions between organs, and changing image contrast due to compression. Recently, Markov r...
主要な著者: | Heinrich, M, Jenkinson, M, Brady, M, Schnabel, J |
---|---|
フォーマット: | Journal article |
言語: | English |
出版事項: |
2013
|
類似資料
-
Mass Transportation for Deformable Image Registration with Application to Lung CT
著者:: Papież, B, 等
出版事項: (2017) -
Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes
著者:: Heinrich, M, 等
出版事項: (2013) -
TEXTURAL MUTUAL INFORMATION BASED ON CLUSTER TREES FOR MULTIMODAL DEFORMABLE REGISTRATION
著者:: Heinrich, M, 等
出版事項: (2012) -
MAP MRF joint segmentation and registration
著者:: Wyatt, P, 等
出版事項: (2002) -
Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.
著者:: Heinrich, M, 等
出版事項: (2012)