Computing support for advanced medical data analysis and imaging
W. Wiślicki, T. Bednarski, P. Białas, E. Czerwiński, Ł. Kapłon, A. Kochanowski, G. Korcyl, J. Kowal, P. Kowalski, T. Kozik, W. Krzemień, M. Molenda
arXiv:1401.6929v16 citations
Originality Synthesis-oriented
AI Analysis
This tackles computing bottlenecks for medical imaging professionals, but it appears incremental as it discusses existing concepts without new breakthroughs.
The paper addresses the challenge of handling large data volumes from medical scanners like PET-TOF by proposing a service architecture based on grid and cloud concepts for distributed processing, but it does not report specific results or numbers.
We discuss computing issues for data analysis and image reconstruction of PET-TOF medical scanner or other medical scanning devices producing large volumes of data. Service architecture based on the grid and cloud concepts for distributed processing is proposed and critically discussed.