In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...
Herein we present a quantitative noise analysis of diffraction enhanced imaging (DEI), an x-ray imaging method that produces absorption and refraction images, with inherent immuni...
Miles N. Wernick, Jovan G. Brankov, Alejandro Saiz...
Currently, portable ultrasound units lack 3-dimensional (3D) image display, limiting their usefulness especially under hostile operating environments where information must be int...
While mutual information-based methods have become popular for image registration, the question of what underlying feature to use is rarely discussed. Instead, it is implicitly as...
In the application of curve evolution and level set methods to biomedical image analysis, the incorporation of geometric priors for isolated shapes has been proved useful. On the ...
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
This paper presents a method for robustly measuring temporal morphological brain changes, by means of a 4D image warping mechanism. Longitudinal stability is achieved by consideri...
Fourier-based forward and back-projection methods have the potential to reduce computation demands in iterative tomographic image reconstruction. Interpolation errors are a limita...
Image analysis tools are used for the extraction of clinical data from Doppler Echocardiography images. Currently, manual methods are subject to large inter- and intraobserver var...