Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
This paper presents a parallel-computing FDTD simulator for electromagnetic analysis and design applications in Magnetic Resonance Imaging system. It is intended to be a complete, high-performance FDTD model of an MRI system including all temporal RF and low-frequency field generating units and electrical models of the patient. The developed MRI-dedicated FDTD algorithm is adapted to a parallel computing architecture with the MPI library. Its capabilities are illustrated in two distinct, large-scale field problems. One concerns the interaction of RF-fields with human tissue at high magnitude fields. The other includes the characterization of the temporal eddy currents induced in the cryostat vessel during gradient switching. The presented examples demonstrate the computational efficiency and extended analyses available due to the parallel FDTD framework.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1109/IEMBS.2006.259674 | DOI Listing |
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