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Artifact reduction strategies for prosthetic heart valve CT imaging
Multislice CT evaluation of prosthetic heart valves (PHV) is limited by PHV-related artifacts. We assessed the influence of different kV settings, a metal artifact reduction filter (MARF) and an iterative reconstruction algorithm (IR) on PHV-induced artifacts in an in vitro model. A Medtronic-Hall t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485534/ https://www.ncbi.nlm.nih.gov/pubmed/22476910 http://dx.doi.org/10.1007/s10554-012-0041-5 |
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author | Habets, Jesse Symersky, Petr Leiner, Tim de Mol, Bas A. J. M. Mali, Willem P. Th. M. Budde, Ricardo P. J. |
author_facet | Habets, Jesse Symersky, Petr Leiner, Tim de Mol, Bas A. J. M. Mali, Willem P. Th. M. Budde, Ricardo P. J. |
author_sort | Habets, Jesse |
collection | PubMed |
description | Multislice CT evaluation of prosthetic heart valves (PHV) is limited by PHV-related artifacts. We assessed the influence of different kV settings, a metal artifact reduction filter (MARF) and an iterative reconstruction algorithm (IR) on PHV-induced artifacts in an in vitro model. A Medtronic-Hall tilting disc and St Jude bileafet PHV were imaged using a 64-slice scanner with 100 kV/165 mAs, 120 kV/100 mAs, 140 kV/67 mAs at an equal CTDI(vol). Images were reconstructed with (1) filtered back projection (FBP), (2) IR, (3) MARF and (4) MARF and IR. Hypo- and hyperdense artifacts volumes (mean mm(3) ± SD) were quantified with 2 thresholds (≤−50 and ≥175 Hounsfield Units). Image noise was measured and the presence of secondary artifacts was scored by 2 observers independently. Mean hypodense artifacts for the Medtronic-Hall/St Jude valve (FBP) were 966 ± 23/1,738 ± 21 at 100 kV, 610 ± 13/991 ± 12 at 120 kV, and 420 ± 9/634 ± 9 at 140 kV. Compared to FBP, hypodense artifact reductions for IR were 9/8 %, 10/7 % and 12/6 % respectively, for MARF 92 %/84 %, 89/81 % and 86/77 % respectively; for MARF + IR 94/85 %, 92/82 %, and 90/79 % respectively. Mean hyperdense artifacts for the Medtronic-Hall/St Jude valve were 5,530 ± 48/6,940 ± 70 at 100 kV, 5,120 ± 42/6,250 ± 53 at 120 kV, and 5,011 ± 52/6,000 ± 0 at 140 kV. Reductions for IR were 2/2 %, 2/3 % and 3/4 % respectively, for MARF were 9/30 %, 0/25 %, 5/22 % respectively, MARF + IR 12/32 %, 4/27 % and 7/25 % respectively. Secondary artifacts were found in all MARF images. Image noise was reduced in the IR images. In vitro PHV-related artifacts can be reduced by increasing kV despite maintaining identical CTDI(vol). Although MARF is more effective than IR, it induces secondary artifacts. |
format | Online Article Text |
id | pubmed-3485534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-34855342012-11-05 Artifact reduction strategies for prosthetic heart valve CT imaging Habets, Jesse Symersky, Petr Leiner, Tim de Mol, Bas A. J. M. Mali, Willem P. Th. M. Budde, Ricardo P. J. Int J Cardiovasc Imaging Original Paper Multislice CT evaluation of prosthetic heart valves (PHV) is limited by PHV-related artifacts. We assessed the influence of different kV settings, a metal artifact reduction filter (MARF) and an iterative reconstruction algorithm (IR) on PHV-induced artifacts in an in vitro model. A Medtronic-Hall tilting disc and St Jude bileafet PHV were imaged using a 64-slice scanner with 100 kV/165 mAs, 120 kV/100 mAs, 140 kV/67 mAs at an equal CTDI(vol). Images were reconstructed with (1) filtered back projection (FBP), (2) IR, (3) MARF and (4) MARF and IR. Hypo- and hyperdense artifacts volumes (mean mm(3) ± SD) were quantified with 2 thresholds (≤−50 and ≥175 Hounsfield Units). Image noise was measured and the presence of secondary artifacts was scored by 2 observers independently. Mean hypodense artifacts for the Medtronic-Hall/St Jude valve (FBP) were 966 ± 23/1,738 ± 21 at 100 kV, 610 ± 13/991 ± 12 at 120 kV, and 420 ± 9/634 ± 9 at 140 kV. Compared to FBP, hypodense artifact reductions for IR were 9/8 %, 10/7 % and 12/6 % respectively, for MARF 92 %/84 %, 89/81 % and 86/77 % respectively; for MARF + IR 94/85 %, 92/82 %, and 90/79 % respectively. Mean hyperdense artifacts for the Medtronic-Hall/St Jude valve were 5,530 ± 48/6,940 ± 70 at 100 kV, 5,120 ± 42/6,250 ± 53 at 120 kV, and 5,011 ± 52/6,000 ± 0 at 140 kV. Reductions for IR were 2/2 %, 2/3 % and 3/4 % respectively, for MARF were 9/30 %, 0/25 %, 5/22 % respectively, MARF + IR 12/32 %, 4/27 % and 7/25 % respectively. Secondary artifacts were found in all MARF images. Image noise was reduced in the IR images. In vitro PHV-related artifacts can be reduced by increasing kV despite maintaining identical CTDI(vol). Although MARF is more effective than IR, it induces secondary artifacts. Springer Netherlands 2012-04-05 2012 /pmc/articles/PMC3485534/ /pubmed/22476910 http://dx.doi.org/10.1007/s10554-012-0041-5 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Paper Habets, Jesse Symersky, Petr Leiner, Tim de Mol, Bas A. J. M. Mali, Willem P. Th. M. Budde, Ricardo P. J. Artifact reduction strategies for prosthetic heart valve CT imaging |
title | Artifact reduction strategies for prosthetic heart valve CT imaging |
title_full | Artifact reduction strategies for prosthetic heart valve CT imaging |
title_fullStr | Artifact reduction strategies for prosthetic heart valve CT imaging |
title_full_unstemmed | Artifact reduction strategies for prosthetic heart valve CT imaging |
title_short | Artifact reduction strategies for prosthetic heart valve CT imaging |
title_sort | artifact reduction strategies for prosthetic heart valve ct imaging |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485534/ https://www.ncbi.nlm.nih.gov/pubmed/22476910 http://dx.doi.org/10.1007/s10554-012-0041-5 |
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