Detecting Cocircular Subsets of a Spherical Set of Points.

Given a spherical set of points, we consider the detection of cocircular subsets of the data. We distinguish great circles from small circles, and develop algorithms for detecting cocircularities of both types. The suggested approach is an extension of the Hough transform.

Anisotropic neural deblurring for MRI acceleration.

Purpose: MRI has become the tool of choice for brain imaging, providing unrivalled contrast between soft tissues, as well as a wealth of information about anatomy, function, and neurochemistry. Image quality, in terms of spatial resolution and noise, is strongly dependent on acquisition duration. A typical brain MRI scan may last several minutes, with total protocol duration often exceeding 30 minutes.

Dataset Growth in Medical Image Analysis Research.

Medical image analysis research requires medical image datasets. Nevertheless, due to various impediments, researchers have been described as "data starved". We hypothesize that implicit evolving community standards require researchers to use ever-growing datasets.

Motion magnification analysis of microscopy videos of biological cells.

It is well recognized that isolated cardiac muscle cells beat in a periodic manner. Recently, evidence indicates that other, non-muscle cells, also perform periodic motions that are either imperceptible under conventional lab microscope lens or practically not easily amenable for analysis of oscillation amplitude, frequency, phase of movement and its direction. Here, we create a real-time video analysis tool to visually magnify and explore sub-micron rhythmic movements performed by biological cells and the induced movements in their surroundings.

Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography.

White matter tractography mapping is an important tool for neuro-surgical planning and navigation. It relies on the accurate manual delineation of anatomical seeding ROIs (sROIs) by neuroanatomy experts. Stringent pre-operative time-constraints and limited availability of experts suggest that automation tools are strongly needed for the task.