Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study u...

In this paper we present how Cellular Automata model can be implemented for processing on Graphics Processing Unit (GPU). Recently, graphics processors have gained a lot of interest as an efficient architecture for general-purpose computation. Cellular Automata algorithms that are inherently parallel give the opportunity to achieve very high efficiency when they are implemented on GPUs. We demo...

Mesh simplification and mesh compression are important processes in computer graphics and scientific computing, as such contexts allow for a mesh which takes up less memory than the original mesh. Current simplification and compression algorithms do not take advantage of both the central processing unit (CPU) and the graphics processing unit (GPU). We propose three simplification algorithms, on...

In this paper, we introduce GPU VSIPL1, an implementation of the Vector Signal Image Processing Library (VSIPL) Core Lite profile developed for the graphics processing unit (GPU). This implementation achieves a speedup of one to two orders of magnitude over the reference implementation. Because VSIPL is an open standard for high-performance platform-independent applications, GPU VSIPL provides ...

The graphics processing unit (GPU) has emerged as a competitive platform for computing massively parallel problems. Many computing applications in medical physics can be formulated as data-parallel tasks that exploit the capabilities of the GPU for reducing processing times. The authors review the basic principles of GPU computing as well as the main performance optimization techniques, and sur...

Sorting is a well interrogating issue in computer science. Many authors have invented numerous sorting algorithms on CPU (Central Processing Unit). In today's life sorting on the CPU is not so efficient. To get the efficient sorting parallelization should be done. There are many ways of parallelization of sorting but at the present time GPU (Graphics Processing Unit) computing is the most ...

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

In this paper we present a novel technique to accelerate reconfigurable video coding with parallel architectures. We focus on the use of the Graphics Processing Unit (GPU) as our platform for parallel processing but the algorithm can be implemented on other parallel architectures. Implementation of the solution shows that execution time is reduced 16-60% depending on the decoder module implemen...