Three‐dimensional image registration using distributed parallel computing

Multimodal Image Registration Using GPU Parallel Computing Technology

Parallel Processing and Bio-inspired Computing for Biomedical Image Registration

Image Registration (IR) is an optimization problem computing optimal parameters of a geometric transform used to overlay one or more source images to a given model by maximizing a similarity measure. In this paper the use of bio-inspired optimization algorithms in image registration is analyzed. Results obtained by means of three different algorithms are compared: Bacterial Foraging Optimizatio...

A data distributed parallel algorithm for nonrigid image registration

Image registration is a technique for defining a geometric relationship between each point in images. This paper presents a data distributed parallel algorithm that is capable of aligning large-scale three-dimensional (3-D) images of deformable objects. The novelty of our algorithm is to overcome the limitations on the memory space as well as the execution time. In order to enable this, our alg...

Distributed Parallel Computing Using Windows Desktop Systems

Like many large institutions, Indiana University has thousands of desktop computers devoted primarily to running office productivity applications on the Windows operating system, tasks which are necessary but that do not use the computers’ full capacity. This is a resource worth pursuing. However, the individual desktop systems do not offer enough processing power for a long enough period of ti...

High Throughput Landmark Based Image Registration Using Cloud Computing

Cloud computing provides an elastic, as-a-Service resource abstraction with a usage-based payment model, and is emerging as an attracting computing paradigm. This is especially true for computing intensive application workflows with high-throughput requirements, such as those involving large-scale image datasets. In this paper, we investigate the usage of cloud computing to support a medical im...