Free breathing lung T1 mapping using image registration in patients with idiopathic pulmonary fibrosis.
Magn Reson Med
; 84(6): 3088-3102, 2020 12.
Article
em En
| MEDLINE
| ID: mdl-32557890
ABSTRACT
PURPOSE:
To assess the use of image registration for correcting respiratory motion in free breathing lung T1 mapping acquisition in patients with idiopathic pulmonary fibrosis (IPF). THEORY ANDMETHODS:
The method presented used image registration to synthetic images during postprocessing to remove respiratory motion. Synthetic images were generated from a model of the inversion recovery signal of the acquired images that incorporated a periodic lung motion model. Ten healthy volunteers and 19 patients with IPF underwent 2D Look-Locker T1 mapping acquisition at 1.5T during inspiratory breath-hold and free breathing. Eight healthy volunteers and seven patients with IPF underwent T1 mapping acquisition during expiratory breath-hold. Fourteen patients had follow-up scanning at 6 months. Dice similarity coefficient (DSC) was used to evaluate registration efficacy.RESULTS:
Image registration increased image DSC (P < .001) in the free breathing inversion recovery images. Lung T1 measured during a free breathing acquisition was lower in patients with IPF when compared with healthy controls (inspiration P = .238; expiration P = .261; free breathing P = .021). Measured lung T1 was higher in expiration breath-hold than inspiration breath-hold in healthy volunteers (P < .001) but not in patients with IPF (P = .645). There were no other significant differences between lung T1 values within subject groups.CONCLUSIONS:
The registration technique significantly reduced motion in the Look-Locker images acquired during free breathing and may improve the robustness of lung T1 mapping in patients who struggle to hold their breath. Lung T1 measured during a free breathing acquisition was significantly lower in patients with IPF when compared with healthy controls.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Interpretação de Imagem Assistida por Computador
/
Fibrose Pulmonar Idiopática
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article