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Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing
BACKGROUND AND PURPOSE: The analysis of the pulsation of unruptured intracranial aneurysms might improve the assessment of their stability and risk of rupture. Pulsations can easily be concealed due to the small movements of the aneurysm wall, making post-processing highly demanding. We hypothesized...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120820/ https://www.ncbi.nlm.nih.gov/pubmed/27880805 http://dx.doi.org/10.1371/journal.pone.0166810 |
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author | Illies, Till Saering, Dennis Kinoshita, Manabu Fujinaka, Toshiyuki Bester, Maxim Fiehler, Jens Tomiyama, Noriyuki Watanabe, Yoshiyuki |
author_facet | Illies, Till Saering, Dennis Kinoshita, Manabu Fujinaka, Toshiyuki Bester, Maxim Fiehler, Jens Tomiyama, Noriyuki Watanabe, Yoshiyuki |
author_sort | Illies, Till |
collection | PubMed |
description | BACKGROUND AND PURPOSE: The analysis of the pulsation of unruptured intracranial aneurysms might improve the assessment of their stability and risk of rupture. Pulsations can easily be concealed due to the small movements of the aneurysm wall, making post-processing highly demanding. We hypothesized that the quantification of aneurysm pulsation is technically feasible and can be improved by computer-aided post-processing. MATERIALS AND METHODS: Images of 14 cerebral aneurysms were acquired with an ECG-triggered 4D CTA. Aneurysms were post-processed manually and computer-aided on a 3D model. Volume curves and random noise-curves were compared with the arterial pulse wave and volume curves were compared between both post-processing modalities. RESULTS: The aneurysm volume curves showed higher similarity with the pulse wave than the random curves (Hausdorff-distances 0.12 vs 0.25, p<0.01). Both post-processing methods did not differ in intra- (r = 0.45 vs r = 0.54, p>0.05) and inter-observer (r = 0.45 vs r = 0.54, p>0.05) reliability. Time needed for segmentation was significantly reduced in the computer-aided group (3.9 ± 1.8 min vs 20.8 ± 7.8 min, p<0.01). CONCLUSION: Our results show pulsatile changes in a subset of the studied aneurysms with the final prove of underlying volume changes remaining unsettled. Semi-automatic post-processing significantly reduces post-processing time but cannot yet replace manual segmentation. |
format | Online Article Text |
id | pubmed-5120820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51208202016-12-15 Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing Illies, Till Saering, Dennis Kinoshita, Manabu Fujinaka, Toshiyuki Bester, Maxim Fiehler, Jens Tomiyama, Noriyuki Watanabe, Yoshiyuki PLoS One Research Article BACKGROUND AND PURPOSE: The analysis of the pulsation of unruptured intracranial aneurysms might improve the assessment of their stability and risk of rupture. Pulsations can easily be concealed due to the small movements of the aneurysm wall, making post-processing highly demanding. We hypothesized that the quantification of aneurysm pulsation is technically feasible and can be improved by computer-aided post-processing. MATERIALS AND METHODS: Images of 14 cerebral aneurysms were acquired with an ECG-triggered 4D CTA. Aneurysms were post-processed manually and computer-aided on a 3D model. Volume curves and random noise-curves were compared with the arterial pulse wave and volume curves were compared between both post-processing modalities. RESULTS: The aneurysm volume curves showed higher similarity with the pulse wave than the random curves (Hausdorff-distances 0.12 vs 0.25, p<0.01). Both post-processing methods did not differ in intra- (r = 0.45 vs r = 0.54, p>0.05) and inter-observer (r = 0.45 vs r = 0.54, p>0.05) reliability. Time needed for segmentation was significantly reduced in the computer-aided group (3.9 ± 1.8 min vs 20.8 ± 7.8 min, p<0.01). CONCLUSION: Our results show pulsatile changes in a subset of the studied aneurysms with the final prove of underlying volume changes remaining unsettled. Semi-automatic post-processing significantly reduces post-processing time but cannot yet replace manual segmentation. Public Library of Science 2016-11-23 /pmc/articles/PMC5120820/ /pubmed/27880805 http://dx.doi.org/10.1371/journal.pone.0166810 Text en © 2016 Illies et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Illies, Till Saering, Dennis Kinoshita, Manabu Fujinaka, Toshiyuki Bester, Maxim Fiehler, Jens Tomiyama, Noriyuki Watanabe, Yoshiyuki Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing |
title | Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing |
title_full | Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing |
title_fullStr | Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing |
title_full_unstemmed | Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing |
title_short | Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing |
title_sort | feasibility of quantification of intracranial aneurysm pulsation with 4d cta with manual and computer-aided post-processing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120820/ https://www.ncbi.nlm.nih.gov/pubmed/27880805 http://dx.doi.org/10.1371/journal.pone.0166810 |
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