With the increasing utilization of medical imaging in clinical practice and the growing
dimensions of data volumes generated by various medical imaging modalities, the …

Obtaining a 3D medical visualization is a tedious process requiring several processing steps
(such as segmentation) and assigning various rendering parameters (such as color and …

Background Storage issues and bandwidth over networks have led to a need to optimally
compress medical imaging files while leaving clinical image quality uncompromised …

Advances in computed tomography (CT) have resulted in a substantial increase in the size
of datasets. We built a new concept of medical image compression that provides the best …

X-ray angiography images are widely used to identify irregularities in the vascular system.
Because of their high spatial resolution and the large amount of images generated daily …

X-ray angiography (angio) images are widely used to identify irregularities in the vascular
system. Because of their high spatial resolution and the increasing amount of X-ray angio …

Computed tomography (CT) is a noninvasive medical test obtained via a series of X-ray
exposures resulting in 3-D images that aid medical diagnosis. Previous approaches for …

Texture analysis is an emerging field; and it is just beginning to integrate with radiology.
Carrying out research with thousands of images can be overwhelming, without an effective …

This paper describes a novel technique that uses prior knowledge of anatomical information
to improve the performance of medical image compression. This technique uses a series of …

This thesis presents a novel framework for remote access Computed Tomography
Colonography (CTC). The proposed framework consists of several integrated components …