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Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies
Jason Carson 
,
Sanjay Pant ,
Carl Roobottom,
Robin Alcock,
Pablo Javier Blanco,
Carlos Alberto Bulant,
Yuri Vassilevski,
Sergey Simakov,
Timur Gamilov,
Roman Pryamonosov,
Fuyou Liang,
Xinyang Ge,
Yue Liu,
Perumal Nithiarasu
,
Sanjay Pant ,
Carl Roobottom,
Robin Alcock,
Pablo Javier Blanco,
Carlos Alberto Bulant,
Yuri Vassilevski,
Sergey Simakov,
Timur Gamilov,
Roman Pryamonosov,
Fuyou Liang,
Xinyang Ge,
Yue Liu,
Perumal Nithiarasu
International Journal for Numerical Methods in Biomedical Engineering, Volume: 35, Issue: 10
Swansea University Authors:
Jason Carson , Sanjay Pant , Perumal Nithiarasu
-
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DOI (Published version): 10.1002/cnm.3235
Abstract
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies
| Published in: | International Journal for Numerical Methods in Biomedical Engineering |
|---|---|
| ISSN: | 2040-7939 2040-7947 |
| Published: |
Wiley
2019
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa51001 |
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2019-07-03T20:54:03Z |
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2020-07-20T19:11:54Z |
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2020-07-20T13:31:19.7531431 v2 51001 2019-07-03 Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies c1f2c28fbe6a41c5134b45abde5abb93 0000-0001-6634-9123 Jason Carson Jason Carson true false 43b388e955511a9d1b86b863c2018a9f 0000-0002-2081-308X Sanjay Pant Sanjay Pant true false 3b28bf59358fc2b9bd9a46897dbfc92d 0000-0002-4901-2980 Perumal Nithiarasu Perumal Nithiarasu true false 2019-07-03 MEDE Journal Article International Journal for Numerical Methods in Biomedical Engineering 35 10 Wiley 2040-7939 2040-7947 8 10 2019 2019-10-08 10.1002/cnm.3235 COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University UKRI, MR/S004076/1, EP/R010811/1 2020-07-20T13:31:19.7531431 2019-07-03T14:57:24.5922847 Jason Carson 0000-0001-6634-9123 1 Sanjay Pant 0000-0002-2081-308X 2 Carl Roobottom 3 Robin Alcock 4 Pablo Javier Blanco 5 Carlos Alberto Bulant 6 Yuri Vassilevski 7 Sergey Simakov 8 Timur Gamilov 9 Roman Pryamonosov 10 Fuyou Liang 11 Xinyang Ge 12 Yue Liu 13 Perumal Nithiarasu 0000-0002-4901-2980 14 51001__15784__bfa1b36190994abea5bf779aa0a6596f.pdf 51001.pdf 2019-11-04T14:51:23.5699894 Output 1357383 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution License (CC-BY). true https://creativecommons.org/licenses/by/4.0/ |
| title |
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies |
| spellingShingle |
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies Jason Carson Sanjay Pant Perumal Nithiarasu |
| title_short |
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies |
| title_full |
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies |
| title_fullStr |
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies |
| title_full_unstemmed |
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies |
| title_sort |
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies |
| author_id_str_mv |
c1f2c28fbe6a41c5134b45abde5abb93 43b388e955511a9d1b86b863c2018a9f 3b28bf59358fc2b9bd9a46897dbfc92d |
| author_id_fullname_str_mv |
c1f2c28fbe6a41c5134b45abde5abb93_***_Jason Carson 43b388e955511a9d1b86b863c2018a9f_***_Sanjay Pant 3b28bf59358fc2b9bd9a46897dbfc92d_***_Perumal Nithiarasu |
| author |
Jason Carson Sanjay Pant Perumal Nithiarasu |
| author2 |
Jason Carson Sanjay Pant Carl Roobottom Robin Alcock Pablo Javier Blanco Carlos Alberto Bulant Yuri Vassilevski Sergey Simakov Timur Gamilov Roman Pryamonosov Fuyou Liang Xinyang Ge Yue Liu Perumal Nithiarasu |
| format |
Journal article |
| container_title |
International Journal for Numerical Methods in Biomedical Engineering |
| container_volume |
35 |
| container_issue |
10 |
| publishDate |
2019 |
| institution |
Swansea University |
| issn |
2040-7939 2040-7947 |
| doi_str_mv |
10.1002/cnm.3235 |
| publisher |
Wiley |
| document_store_str |
1 |
| active_str |
0 |
| published_date |
2019-10-08T04:02:43Z |
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1763753238408986624 |
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11.037603 |