Cardiac CT: A system architecture study
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
BACKGROUND: We are interested in exploring dedicated, high-performance cardiac CT systems optimized to provide the best tradeoff between system cost, image quality, and radiation dose. OBJECTIVE: We sought to identify and evaluate a broad range of CT architectures that could provide an optimal, dedicated cardiac CT solution. METHODS: We identified and evaluated thirty candidate architectures using consistent design choices. We defined specific evaluation metrics related to cost and performance. We then scored the candidates versus the defined metrics. Lastly, we applied a weighting system to combine scores for all metrics into a single overall score for each architecture. CT experts with backgrounds in cardiovascular radiology, x-ray physics, CT hardware and CT algorithms performed the scoring and weighting. RESULTS: We found nearly a twofold difference between the most and the least promising candidate architectures. Architectures employed by contemporary commercial diagnostic CT systems were among the highest-scoring candidates. We identified six architectures that show sufficient promise to merit further in-depth analysis and comparison. CONCLUSION: Our results suggest that contemporary diagnostic CT system architectures outperform most other candidates that we evaluated, but the results for a few alternatives were relatively close. We selected six representative high-scoring candidates for more detailed design and further comparative evaluation.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Cardiac CT: A system architecture study
- Date Crossref
- 01/02/2016
- Éditeur
- SAGE Publications
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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GE Global Research (United States) pays non établi dans la noticeEntreprise
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Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences pays non établi dans la noticeUniversité ou école supérieure
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Wake Forest University Health Sciences Department of Radiology pays non établi dans la noticeOrganisation à but non lucratif
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Wake Forest University pays non établi dans la noticeUniversité ou école supérieure
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Rensselaer Polytechnic Institute Department of Biomedical Engineering pays non établi dans la noticeUniversité ou école supérieure
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CT Systems and Applications Laboratory pays non établi dans la noticeStructure de recherche
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VT-WFU School of Biomedical Engineering and Sciences Biomedical Imaging Division pays non établi dans la noticeUniversité ou école supérieure
GE Global Research (United States), Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences et Department of Radiology — Wake Forest University Health Sciences, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.