The registration of images is a task that is at the core of many applications in computer
vision. In computational neuroimaging where the automated segmentation of brain …

Functional imaging using positron emission tomography (PET) plays an important role in the
diagnosis, staging, image‐guided treatment planning and monitoring of malignant diseases …

The current state‐of‐the‐art assessment of treatment response in breast cancer is based on
the response evaluation criteria in solid tumors (RECIST). RECIST reports on changes in …

Over the last decade, image registration has emerged as one of key technologies in medical
image computing with applications ranging from computer assisted diagnosis to computer …

Due to processing constraints, automatic image-based registration of medical images has
been largely used as a pre-operative tool. We propose a novel method named sort and …

Purpose Major depressive disorder (MDD) has been related to both a dysfunctional γ-amino
butyric acid (GABA) system and to hyperactivity of the hypothalamic-pituitary-adrenal axis …

Medical image registration plays an increasingly important role in many clinical applications,
including the detection and diagnosis of diseases, planning of therapy, guidance of …

Mutual information (MI) was introduced for use in multimodal image registration over a
decade ago [1, 2, 3, 4]. The MI between two images is based on their marginal and …

We propose a framework for intensity-based registration of images by linear transformations,
based on a discrete Markov random field (MRF) formulation. Here, the challenge arises from …

The objective of this study was to evaluate the effect of kilovoltage cone‐beam computed
tomography (CBCT) on registration accuracy and image qualities with a reduced number of …