Radiation therapy and many interventional techniques require real-time or at least subsecond control of patient motion. Often this information is obtained by point-pair matching with markers either attached on the skin surface or fixed in bone. In the case of X-ray fluoroscopy acquired images would already suffice to determine this motion. Viola [1] suggests using randomly chosen samples of the...

Automatic multi-modal image registration is central to numerous tasks in medical imaging today and has a vast range of applications e.g., image guidance, atlas construction, etc. In this paper, we present a novel multi-modal 3D non-rigid registration algorithm where in 3D images to be registered are represented by their corresponding local frequency maps efficiently computed using the Riesz tra...

In this paper, we present a novel histogram based method for estimating and maximising mutual information (MI) between two multi-modal and possibly multi-banded signals. Histogram based estimation methods are a common means for estimating the MI between two signals and the derivative of MI with respect to these signals. However, they do not scale well towards higher dimensions of the signals in...

This paper applies and evaluates an automatic mutual information-based registration algorithm across a broad spectrum of multimodal volume data sets. The algorithm requires little or no pre-processing, minimal user input and easily implements either affine, i.e. linear or thin-plate spline (TPS) warped registrations. We have evaluated the algorithm in phantom studies as well as in selected case...

Fusion of anatomic information in computed tomography (CT) and functional information in 18F-FDG positron emission tomography (PET) is crucial for accurate differentiation of tumor from benign masses, designing radiotherapy treatment plan and staging of cancer. Although current PET and CT images can be acquired from combined 18F-FDG PET/CT scanner, the two acquisitions are scanned separately an...

PURPOSE Multimodal microimaging in preclinical models is used to examine the effect of spinal metastases on bony structure; however, the evaluation of tumor burden and its effect on microstructure has thus far been mainly qualitative or semiquantitative. Quantitative analysis of multimodality imaging is a time consuming task, motivating automated methods. As such, this study aimed to develop a ...

Spatially aligning medical images from different modalities remains a challenging task, especially for intraoperative applications that require fast and robust algorithms. We propose a weakly-supervised, label-driven formulation for learning 3D voxel correspondence from higher-level label correspondence, thereby bypassing classical intensity-based image similarity measures. During training, a c...

The fusion of 3D freehand ultrasound with CT and CTA has benefits for a variety of clinical applications, however a lot of manual work is usually required for correct registration. We developed new methods that allow one to simulate medical ultrasound from CT in real-time, reproducing the majority of ultrasonic imaging effects. The second novelty is a robust similarity measure that assesses the...

In this paper, we present a novel histogram based method for estimating and maximising mutual information (MI) between two multi-modal and possibly multi-banded signals. Histogram based estimation methods are a common means for estimating the MI between two signals and the derivative of MI with respect to these signals. However, they do not scale well towards higher dimensions of the signals in...

PURPOSE To characterize reticular pseudodrusen (RPD) by using a point-to-point comparison of the reticular pattern on infrared reflectance (IR), autofluorescence (AF), and red-free (RF) images registered with en face sections of the choroid from spectral domain optical coherence tomography (SD-OCT) scans. METHODS A cross-sectional, retrospective study of all patients with the diagnosis of AMD...