Similarity measure is an important key in image registration. Most traditional intensity‐based
similarity measures (eg sum‐of‐squared‐differences, correlation coefficient, mutual …

Level set methods are widely used in image segmentation and shape analysis. However,
most of the current research focuses on fast computational algorithms, initial value selection …

Similarity measure is an important block in image registration. Most traditional intensity-
based similarity measures (eg, sum-of-squared-difference, correlation coefficient, and …

Similarity measure is an important part of image registration. The main challenge of similarity
measure is lack of robustness to different distortions. A well-known distortion is spatially …

This paper focuses on a novel strategy increasing robustness with respect to local optima
when using Mutual Information (MI) in multi-modal image registration. This is realized by …

Purpose The purpose of this study is to navigate an in-house robot under uncertain
intraoperative changes of the body surface which is not present in the pre-operative scan in …

Pulmonary image registration is important because it can be used to compute lung
biomechanical measures, study disease progression, and guide image surgery or …

The registration of images is a fundamental task in numerous applications in medical image
processing. Similarity measure is an important key in intensity based image registration …

Similarity measure is an important key in image registration. Most traditional intensity-based
similarity measures (eg, SSD, CC, MI, and CR) assume stationary image and pixel by pixel …

Ziel dieser Arbeit ist die Untersuchung und Weiterentwicklung von Ähnlichkeitsmaßen zur
Registrierung von multimodalen medizinischen Bilddaten wie sie zum Beispiel in der …