Comparison of image registration methods for composing spectral retinal images

Abstract

Abstract. Spectral retinal images have signi cant potential for improving the early detection and visualization of subtle changes due to eye diseases and many systemic diseases. High resolution in both the spatial and the spectral domain can be achieved by capturing a set of narrowband channel images from which the spectral images are composed. With imaging techniques where the eye movement between the acquisition of the images is unavoidable, image registration is required. In this paper, the applicability of the state-of-the-art image registration methods for the composition of spectral retinal images is studied. The registration methods are quantitatively compared using synthetic channel image data of an eye phantom and semisynthetic set of retinal channel images subjected to known transformations. The experiments show that Generalized dual-bootstrap iterative closest point method outperforms the other evaluated methods in registration accuracy and the number of successful registrations.

Accuracy of deformable image registration techniques for alignment of longitudinal cholangiocarcinoma CT images

“…The liver is a large organ and undergoes large anatomical changes after radiation therapy. Such challenges have provided similar conclusions in previous studies that encompass a variety of applications . One of the limitations of our study — the low number of points used for TRE calculations, was a result of these challenges.…”