dc.contributor.author |
Maniatis, TA |
en |
dc.contributor.author |
Nikita, KS |
en |
dc.contributor.author |
Voliotis, K |
en |
dc.date.accessioned |
2014-03-01T01:14:18Z |
|
dc.date.available |
2014-03-01T01:14:18Z |
|
dc.date.issued |
1999 |
en |
dc.identifier.issn |
0302-9743 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/12982 |
|
dc.subject |
Efficient Implementation |
en |
dc.subject |
High Performance Computer |
en |
dc.subject |
Inverse Scattering Problem |
en |
dc.subject |
Medical Image |
en |
dc.subject |
Non-linear Optimization |
en |
dc.subject |
Shared Memory |
en |
dc.subject.classification |
Computer Science, Theory & Methods |
en |
dc.title |
A diffraction tomography method for medical imaging implemented on high performance computing environment |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/BFb0100579 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/BFb0100579 |
en |
heal.language |
English |
en |
heal.publicationDate |
1999 |
en |
heal.abstract |
The efficient implementation of a diffraction tomography method for medical imaging is addressed within the framework of High Performance Computing (HPC) environment. A non-linear optimization method for the solution of the inverse scattering problem is implemented on a shared memory model computer. Linear speed-up and significant reduction in the total execution time is achieved when the program is executed in parallel, enabling the feasibility of the method for realistic medical imaging applications. |
en |
heal.publisher |
SPRINGER-VERLAG BERLIN |
en |
heal.journalName |
HIGH-PERFORMANCE COMPUTING AND NETWORKING, PROCEEDINGS |
en |
heal.bookName |
LECTURE NOTES IN COMPUTER SCIENCE |
en |
dc.identifier.doi |
10.1007/BFb0100579 |
en |
dc.identifier.isi |
ISI:000088252100020 |
en |
dc.identifier.volume |
1593 |
en |
dc.identifier.spage |
178 |
en |
dc.identifier.epage |
187 |
en |