Cargando…

Iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen

OBJECTIVE: To investigate differences between reconstruction algorithms in quantitative perfusion values and time-attenuation curves in computed tomography perfusion (CTP) examinations of the upper abdomen. METHODS: Twenty-six CTP examinations were reconstructed with filtered back projection and an...

Descripción completa

Detalles Bibliográficos
Autores principales: Woisetschläger, Mischa, Henriksson, Lilian, Bartholomae, Wolf, Gasslander, Thomas, Björnsson, Bergthor, Sandström, Per
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334814/
https://www.ncbi.nlm.nih.gov/pubmed/32642503
http://dx.doi.org/10.1016/j.ejro.2020.100243
_version_ 1783554012704931840
author Woisetschläger, Mischa
Henriksson, Lilian
Bartholomae, Wolf
Gasslander, Thomas
Björnsson, Bergthor
Sandström, Per
author_facet Woisetschläger, Mischa
Henriksson, Lilian
Bartholomae, Wolf
Gasslander, Thomas
Björnsson, Bergthor
Sandström, Per
author_sort Woisetschläger, Mischa
collection PubMed
description OBJECTIVE: To investigate differences between reconstruction algorithms in quantitative perfusion values and time-attenuation curves in computed tomography perfusion (CTP) examinations of the upper abdomen. METHODS: Twenty-six CTP examinations were reconstructed with filtered back projection and an iterative reconstruction algorithm, advanced modeled iterative reconstruction (ADMIRE), with different levels of noise-reduction strength. Using the maximum-slope model, quantitative measurements were obtained: blood flow (mL/min/100 mL), blood volume (mL/100 mL), time to peak (s), arterial liver perfusion (mL/100 mL/min), portal venous liver perfusion (mL/100 mL/min), hepatic perfusion index (%), temporal maximum intensity projection (Hounsfield units (HU)) and temporal average HU. Time-attenuation curves for seven sites (left liver lobe, right liver lobe, hepatocellular carcinoma, spleen, gastric wall, pancreas, portal vein) were obtained. Mixed-model analysis was used for statistical evaluation. Image noise and the signal:noise ratio (SNR) were compared between four reconstructions, and statistical analysis of these reconstructions was made with a related-samples Friedman’s two-way analysis of variance by ranks test. RESULTS: There were no significant differences for quantitative measurements between the four reconstructions for all tissues. There were no significant differences between the AUC values of the time-attenuation curves between the four reconstructions for all tissues, including three automatic measurements (portal vein, aorta, spleen). There was a significant difference in image noise and SNR between the four reconstructions. CONCLUSIONS: ADMIRE did not affect the quantitative measurements or time-attenuation curves of tissues in the upper abdomen. The image noise was lower, and the SNR higher, for iterative reconstructions with higher noise-reduction strengths.
format Online
Article
Text
id pubmed-7334814
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-73348142020-07-07 Iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen Woisetschläger, Mischa Henriksson, Lilian Bartholomae, Wolf Gasslander, Thomas Björnsson, Bergthor Sandström, Per Eur J Radiol Open Article OBJECTIVE: To investigate differences between reconstruction algorithms in quantitative perfusion values and time-attenuation curves in computed tomography perfusion (CTP) examinations of the upper abdomen. METHODS: Twenty-six CTP examinations were reconstructed with filtered back projection and an iterative reconstruction algorithm, advanced modeled iterative reconstruction (ADMIRE), with different levels of noise-reduction strength. Using the maximum-slope model, quantitative measurements were obtained: blood flow (mL/min/100 mL), blood volume (mL/100 mL), time to peak (s), arterial liver perfusion (mL/100 mL/min), portal venous liver perfusion (mL/100 mL/min), hepatic perfusion index (%), temporal maximum intensity projection (Hounsfield units (HU)) and temporal average HU. Time-attenuation curves for seven sites (left liver lobe, right liver lobe, hepatocellular carcinoma, spleen, gastric wall, pancreas, portal vein) were obtained. Mixed-model analysis was used for statistical evaluation. Image noise and the signal:noise ratio (SNR) were compared between four reconstructions, and statistical analysis of these reconstructions was made with a related-samples Friedman’s two-way analysis of variance by ranks test. RESULTS: There were no significant differences for quantitative measurements between the four reconstructions for all tissues. There were no significant differences between the AUC values of the time-attenuation curves between the four reconstructions for all tissues, including three automatic measurements (portal vein, aorta, spleen). There was a significant difference in image noise and SNR between the four reconstructions. CONCLUSIONS: ADMIRE did not affect the quantitative measurements or time-attenuation curves of tissues in the upper abdomen. The image noise was lower, and the SNR higher, for iterative reconstructions with higher noise-reduction strengths. Elsevier 2020-07-03 /pmc/articles/PMC7334814/ /pubmed/32642503 http://dx.doi.org/10.1016/j.ejro.2020.100243 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Woisetschläger, Mischa
Henriksson, Lilian
Bartholomae, Wolf
Gasslander, Thomas
Björnsson, Bergthor
Sandström, Per
Iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen
title Iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen
title_full Iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen
title_fullStr Iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen
title_full_unstemmed Iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen
title_short Iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen
title_sort iterative reconstruction algorithm improves the image quality without affecting quantitative measurements of computed tomography perfusion in the upper abdomen
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334814/
https://www.ncbi.nlm.nih.gov/pubmed/32642503
http://dx.doi.org/10.1016/j.ejro.2020.100243
work_keys_str_mv AT woisetschlagermischa iterativereconstructionalgorithmimprovestheimagequalitywithoutaffectingquantitativemeasurementsofcomputedtomographyperfusionintheupperabdomen
AT henrikssonlilian iterativereconstructionalgorithmimprovestheimagequalitywithoutaffectingquantitativemeasurementsofcomputedtomographyperfusionintheupperabdomen
AT bartholomaewolf iterativereconstructionalgorithmimprovestheimagequalitywithoutaffectingquantitativemeasurementsofcomputedtomographyperfusionintheupperabdomen
AT gasslanderthomas iterativereconstructionalgorithmimprovestheimagequalitywithoutaffectingquantitativemeasurementsofcomputedtomographyperfusionintheupperabdomen
AT bjornssonbergthor iterativereconstructionalgorithmimprovestheimagequalitywithoutaffectingquantitativemeasurementsofcomputedtomographyperfusionintheupperabdomen
AT sandstromper iterativereconstructionalgorithmimprovestheimagequalitywithoutaffectingquantitativemeasurementsofcomputedtomographyperfusionintheupperabdomen