Abdominal motion tracking with free-breathing XD-GRASP acquisitions using spatio-temporal geodesic trajectories

Rihab Mansour, Liset Vazquez Romaguera, Catherine Huët, Ahmed Bentridi, Kim-Nhien Vu, Jean-Sébastien Billiard, Guilllaume Gilbert, An Tang, Samuel Kadoury

Article de revue (2022)

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Résumé

Free-breathing external beam radiotherapy remains challenging due to the complex elastic or irregular motion of abdominal organs, as imaging moving organs leads to the creation of motion blurring artifacts. In this paper, we propose a radial-based MRI reconstruction method from 3D free-breathing abdominal data using spatio-temporal geodesic trajectories, to quantify motion during radiotherapy. The prospective study was approved by the institutional review board and consent was obtained from all participants. A total of 25 healthy volunteers, 12 women and 13 men (38 years ± 12 [standard deviation]), and 11 liver cancer patients underwent imaging using a 3.0 T clinical MRI system. The radial acquisition based on golden-angle sparse sampling was performed using a 3D stack-of-stars gradient-echo sequence and reconstructed using a discretized piecewise spatio-temporal trajectory defined in a low-dimensional embedding, which tracks the inhale and exhale phases, allowing the separation between distinct motion phases. Liver displacement between phases as measured with the proposed radial approach based on the deformation vector fields was compared to a navigator-based approach. Images reconstructed with the proposed technique with 20 motion states and registered with the multiscale B-spline approach received on average the highest Likert scores for the overall image quality and visual SNR score 3.2 ± 0.3 (mean ± standard deviation), with liver displacement errors varying between 0.1 and 2.0 mm (mean 0.8 ± 0.6 mm). When compared to navigator-based approaches, the proposed method yields similar deformation vector field magnitudes and angle distributions, and with improved reconstruction accuracy based on mean squared errors.

Matériel d'accompagnement:
Organismes subventionnaires:
NSERC, MEDTEQ, Cancer Research Society of Canada, FRQS, Fondation de l'Association des Radiologistes du Québec
Numéro de subvention:
CRDPJ-517413–17, 34939
Adresse URL de PolyPublie:
Titre de la revue :
Medical and Biological Engineering and Computing ( vol. 60 , no 2 )
Maison d'édition:
Springer Science and Business Media Deutschland GmbH
OAI:
oai:publications.polymtl.ca:50445
ORCID
Date du dépôt:
18 avr. 2023 14:59
Dernière modification:
14 oct. 2026 14:06
Citer en APA 7:
Mansour, R., Vazquez Romaguera, L., Huët, C., Bentridi, A., Vu, K.-N., Billiard, J.-S., Gilbert, G., Tang, A., & Kadoury, S. (2022). Abdominal motion tracking with free-breathing XD-GRASP acquisitions using spatio-temporal geodesic trajectories. Medical and Biological Engineering and Computing, 60(2), 583-598. https://doi.org/10.1007/s11517-021-02477-w

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