Deformable image registration is the spatial mapping of corresponding locations between images and can be used for important applications in radiotherapy. Although numerous methods have attempted to register deformable medical images automatically, such as salient-feature-based registration (SFBR), free-form deformation (FFD), and demons, no automatic method for registration is perfect, and no ...

Deformable image registration is a key enabling technology for advanced treatment of lung cancer patients, as it can facilitate motion estimation, structure segmentation, as well as dose tracking and accumulation. In this work, we developed a hybrid feature-constrained deformable registration method and applied it to tackle the EMPIRE10 (Evaluation of Methods for Pulmonary Image Registration 20...

In this work, thirteen image-pairs, composed of a color fundus photograph and a scanning laser ophthalmoscope fluorescein angiography (SLO.FA), were registered by rigid, non-rigid and deformable image registration procedures to assess the need for deformable image registration methods when using SLO.FAmodalities. Each registration was quantitatively assessed by three different metrics that show...

For patients with locally-recurrent lung cancer, high dose thoracic re-irradiation can prolong survival. Deformable image registration improves the accuracy with which initial treatments are accounted for compared to rigid image registration. Using deformable image registration will improve correlative toxicity data, and may reduce toxicity for selected patients undergoing re-irradiation.

Image registration is a fundamental task in medical image analysis. Recently, many deep learning based methods have been extensively investigated due to their comparable performance with the state-of-the-art classical approaches despite ultra-fast computational time. However, existing still limitations preservation of original topology during deformation vector fields. To address this issues, h...