In recent year, Deformable Image Registration (DIR) has become commercially available in the field of radiotherapy. DIR is an exciting and interesting technology for multi-modality image fusion, anatomic image segmentation, Four-dimensional (4D) dose accumulation and lung functional (ventilation) imaging. Furthermore, DIR is playing an important role in modern radiotherapy included Image-Guided...

Deformable medical image registration plays an important role in clinical diagnosis and treatment. Recently, the deep learning (DL) based methods have been widely investigated showed excellent performance computational speed. However, these cannot provide enough accuracy because of insufficient ability representing both global local features moving fixed images. To address this issue, paper has...

Optical coherence tomography (OCT) of the macula has become increasingly important in the investigation of retinal pathology. However, deformable image registration, which is used for aligning subjects for pairwise comparisons, population averaging, and atlas label transfer, has not been well-developed and demonstrated on OCT images. In this paper, we present a deformable image registration app...

Deformable image registration poses a highly non-convex optimisation problem. Conventionally, medical image registration techniques rely on continuous optimisation, which is prone to local minima. Recent advances in the mathematics and new programming methods enable these disadvantages to be overcome using discrete optimisation. In this paper, we present a new technique deeds, which employs a d...