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...
Päätekijät: | Heinrich, M, Jenkinson, M, Brady, M, Schnabel, J |
---|---|
Aineistotyyppi: | Journal article |
Kieli: | English |
Julkaistu: |
2013
|
Samankaltaisia teoksia
-
Mass Transportation for Deformable Image Registration with Application to Lung CT
Tekijä: Papież, B, et al.
Julkaistu: (2017) -
Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes
Tekijä: Heinrich, M, et al.
Julkaistu: (2013) -
TEXTURAL MUTUAL INFORMATION BASED ON CLUSTER TREES FOR MULTIMODAL DEFORMABLE REGISTRATION
Tekijä: Heinrich, M, et al.
Julkaistu: (2012) -
MAP MRF joint segmentation and registration
Tekijä: Wyatt, P, et al.
Julkaistu: (2002) -
Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.
Tekijä: Heinrich, M, et al.
Julkaistu: (2012)