PubMed · 10977566
Parallel segmentation and rendering using clusters of PCs.
Abstract
Clinics have to deal currently with hundreds of 3D images a day. 3D Medical Images contain a huge amount of data, and thus, very expensive and powerful systems are required in order to process them. The present work shows the features of a software parallel computing package developed at the Universidad Politécnica de Valencia, under the European Project HIPERCIR. http:¿hiperttn.upv.es/hipercir. Project HIPERCIR is aimed at reducing the time and requirements for processing and visualising 3D images with low-cost solutions, such as networks of PCs running standard operating systems (Windows 95/98/NT). This project is being developed by a consortium formed by medical image processing and parallel computing experts from the Universidad Politécnica de Valencia (UPV), experts on biomedical software and radiology clinic experts.
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I Blanquer, V Hernández, F J Ramírez, A Vidal. 2000. Parallel segmentation and rendering using clusters of PCs.. https://pubmed.ncbi.nlm.nih.gov/10977566/
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