On the optimal temporal resolution for phase contrast cardiovascular magnetic resonance imaging: establishment of baseline values.


Journal

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
ISSN: 1532-429X
Titre abrégé: J Cardiovasc Magn Reson
Pays: England
ID NLM: 9815616

Informations de publication

Date de publication:
05 10 2020
Historique:
received: 14 10 2019
accepted: 08 09 2020
entrez: 5 10 2020
pubmed: 6 10 2020
medline: 15 12 2020
Statut: epublish

Résumé

The aim of this study is to quantify the frequency content of the blood velocity waveform in different body regions by means of phase contrast (PC) cardiovascular magnetic resonance (CMR) and Doppler ultrasound. The highest frequency component of the spectrum is inversely proportional to the ideal temporal resolution to be used for the acquisition of flow-sensitive imaging (Shannon-Nyquist theorem). Ten healthy subjects (median age 33y, range 24-40) were scanned with a high-temporal-resolution PC-CMR and with Doppler ultrasound on three body regions (carotid arteries, aorta and femoral arteries). Furthermore, 111 patients (median age 61y) with mild to moderate arterial hypertension and 58 patients with aortic aregurgitation, atrial septal defect, or repaired tetralogy of Fallot underwent aortic CMR scanning. The frequency power distribution was calculated for each location and the maximum frequency component, f In the healthy subject cohort, significantly different f The temporal resolution of PC-CMR acquisitions can be adapted based on the scanned body region and in the adult population, should approach approximately 20 ms in the peripheral arteries and 40 ms in the aorta. This study presents results from a restrospective analysis of the clinical study NCT01870739 (ClinicalTrials.gov).

Sections du résumé

BACKGROUND
The aim of this study is to quantify the frequency content of the blood velocity waveform in different body regions by means of phase contrast (PC) cardiovascular magnetic resonance (CMR) and Doppler ultrasound. The highest frequency component of the spectrum is inversely proportional to the ideal temporal resolution to be used for the acquisition of flow-sensitive imaging (Shannon-Nyquist theorem).
METHODS
Ten healthy subjects (median age 33y, range 24-40) were scanned with a high-temporal-resolution PC-CMR and with Doppler ultrasound on three body regions (carotid arteries, aorta and femoral arteries). Furthermore, 111 patients (median age 61y) with mild to moderate arterial hypertension and 58 patients with aortic aregurgitation, atrial septal defect, or repaired tetralogy of Fallot underwent aortic CMR scanning. The frequency power distribution was calculated for each location and the maximum frequency component, f
RESULTS
In the healthy subject cohort, significantly different f
CONCLUSIONS
The temporal resolution of PC-CMR acquisitions can be adapted based on the scanned body region and in the adult population, should approach approximately 20 ms in the peripheral arteries and 40 ms in the aorta.
TRIAL REGISTRATION
This study presents results from a restrospective analysis of the clinical study NCT01870739 (ClinicalTrials.gov).

Identifiants

pubmed: 33012283
doi: 10.1186/s12968-020-00669-1
pii: 10.1186/s12968-020-00669-1
pmc: PMC7534161
doi:

Banques de données

ClinicalTrials.gov
['NCT01870739']

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

72

Références

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Auteurs

Francesco Santini (F)

Department of Radiology, Division of Radiological Physics, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland. Francesco.santini@unibas.ch.
Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland. Francesco.santini@unibas.ch.

Michele Pansini (M)

Ricerche Diagnostiche Srl, Bari, Italy.

Maja Hrabak-Paar (M)

University Hospital Center Zagreb, University of Zagreb School of Medicine, Zagreb, Croatia.

Denise Yates (D)

Novartis Institutes of Biomedical Research, Cambridge, MA, USA.

Thomas H Langenickel (TH)

Novartis Institutes for Biomedical Research, Translational Medicine, Basel, Switzerland.
Ethris GmbH, Planegg, Germany.

Jens Bremerich (J)

Department of Radiology, University Hospital Basel, Basel, Switzerland.

Oliver Bieri (O)

Department of Radiology, Division of Radiological Physics, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.

Tilman Schubert (T)

Department of Neuroradiology, Zurich University Hospital, Zurich, Switzerland.

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