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The volume of medical imaging data produced per year is rapidly increasing, overtaxing the capabilities of Picture Archival and Communication (PACS) systems. Image compression methods can lessen the problem by encoding digital images into more space-efficient forms. Image compression is achieved by reducing redundancy in the imaging data. Existing methods(More)
Similar images are images with common features, similar pixel distributions, and similar edge distributions. Fields such as medical imaging or satellite imaging often need to store large collections of similar images. In a set of similar images the image similarities represent patterns that consistently appear across all images; this results in " set(More)
Fourier-based approaches to calculate the Fresnel diffraction of light provide one of the most efficient algorithms for holographic computations because this permits the use of the fast Fourier transform (FFT). This research overcomes the limitations on sampling imposed by Fourier-based algorithms by the development of a fast shifted Fresnel transform. This(More)
Lossless compression techniques are essential in archival and communication of large amounts of homogeneous data in radiological image databases. This paper exploits dependencies that exist between the pixel intensities in three dimensions to improve compression for a set of similar medical images. These 3-D dependencies are systematically presented as(More)
This paper presents a novel and efficient diagnostically lossless compression for 3D medical image sets. This compression scheme provides the 3D medical image sets with a progressive transmission capability. An automated filter-and-threshold based prepro-cessing technique is used to remove noise outside the diagnostic region. Then a wavelet decomposition(More)
Homogeneous data in radiological image databases consumes an extraordinary amount of storage space. An example of this is the multiple voxels representing different cross sections of a body part being imaged, which are referred to as volumetric data sets. Lossless compression algorithms are imperative for efficient storage and transmission of volumetric(More)
Diagnostically lossless compression techniques are essential in archival and communication of medical images. In this paper, an automated wavelet-based background noise removal method, i.e. diagnostically lossless compression method, is proposed. First, the wavelet transform modulus maxima procedure produces the modulus maxima image which contains sharp(More)
This is a case study that documents the reverse engineering and mengineering of a twenty year old system, BNDPKG. BNDPKG is a large software system written in FORTRAN, and still used in Physics for Electronic Structure calculations. BNDPKG was changed from a sequential-serial system that required IBM mainframes to a scalable parallel version that can use(More)
A new approach for maintaining dynamic meshes in finite element environments is introduced. Extending previous work of the authors, this paper describes the structure of a new hexahedral finite element and the issues that must be addressed in utilising it within a dynamically adaptive mesh. The scheme is based on the refinement of 3D hexahedral elements(More)