Magnetic resonance imaging (MRI) has become an essential part of clinical imaging due to its ability to render high soft tissue contrast. Instead of ionizing radiation, MRI use strong magnetic field, radio frequency waves and field gradients to create diagnostic useful images. It can be used to image the anatomy and also functional and physiological activities within the human body. Knowledge o...

A scanner is developed that can capture range as well as color data from four sides of an object and combine the data into a complete model. In this scanner four synchronous cameras scan an object from four sides in a coordinate system that is attached to the scanner. Data produced by the four cameras, therefore, automatically come together without the need for image registration. The uniquenes...

PURPOSE The development of flat panel detector technology has resulted in renewed interest in the possibility of generating CT-like images from rotational angiographic acquisitions. At least two commercial products now use cone beam reconstruction software in conjunction with flat panel detectors to produce such images. The purpose of the work presented here is to report on image quality obtain...

OBJECTIVE To evaluate the ability of 2-D time-of-flight (ToF) magnetic resonance angiography (MRA) to depict intracranial vasculature and compare results obtained with 3.0- and 7.0-T scanners in dogs. ANIMALS 5 healthy Beagles. PROCEDURES 2-D ToF-MRA of the intracranial vasculature was obtained for each dog by use of a 3.0-T and a 7.0-T scanner. Quantitative assessment of the images was obt...

Application of stochastic geometry methods to pattern recognition is analyzed. The paper is based on Trace-transformations of original images introduced in [1] into images on the Mobius band. Trace–transformation is a new geometrical transformation, which is connected with image scanning on complex trajectories, including random parameters trajectories. Based on this new geometric transformatio...

In scanning photographs, receipts or other small objects users will often scan many at a time. It would be convenient to automatically detect that the scanned image consists of many small objects rather than a single large one, and segment appropriately. We present a simple, efficient and robust way of doing this.

Optical scan ballot systems are widely used in elections today. However, deployed optical scan systems may not always interpret write-in votes correctly. For instance, if a voter writes in a name but forgets to shade in the corresponding voting target, an optical scanner may not detect the write-in, which could lead to a lost vote. In this paper, we study methods for automatic recognition of wr...

A scanner characterization method based on an analytic spectral model was derived. Themethod firstmodeled the spectral formation of eachmedium using either Beer-Bouguer Law or Kubelka-Munk theory. Scanner digital counts were then empirically related to dye concentrations. From these estimated dye concentrations, either spectral transmittance or spectral reflectance factor could be predicted. Th...

Digital whole-slide images of pathological tissue samples have recently become feasible for use within routine diagnostic practice. These gigapixel sized images enable pathologists to perform reviews using computer workstations instead of microscopes. Existing workstations visualize scanned images by providing a zoomable image space that reproduces the capabilities of the microscope. This paper...

This paper describes the evaluation of ARTISAN, a system designed to provide automatic retrieval of abstract trademark images by shape feature. The system depends for its operation on analyzing each image to characterize key shape components, grouping image regions into families which potentially mirror human image perception, and then deriving characteristic indexing features from these famili...