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

dc.contributor.authorMansour, Rihab
dc.contributor.authorVazquez Romaguera, Liset
dc.contributor.authorHuet, Catherine
dc.contributor.authorBentridi, Ahmed
dc.contributor.authorVu, Kim-Nhien
dc.contributor.authorBilliard, Jean-Sébastien
dc.contributor.authorGilbert, Guillaume
dc.contributor.authorTang, An
dc.contributor.authorKadoury, Samuel
dc.date.accessioned2024-01-08T16:50:11Z
dc.date.availableNO_RESTRICTIONfr
dc.date.available2024-01-08T16:50:11Z
dc.date.issued2022-01-14
dc.identifier.urihttp://hdl.handle.net/1866/32303
dc.publisherSpringerfr
dc.subject4D-MRIfr
dc.subjectXD-GRASPfr
dc.subjectAbdominal motion trackingfr
dc.subjectGeodesic manifold trajectoryfr
dc.subjectDeformable registrationfr
dc.titleAbdominal motion tracking with free-breathing XD-GRASP acquisitions using spatio-temporal geodesic trajectoriesfr
dc.typeArticlefr
dc.contributor.affiliationUniversité de Montréal. Faculté de médecine. Département de radiologie, radio-oncologie et médecine nucléairefr
dc.identifier.doi10.1007/s11517-021-02477-w
dcterms.abstractFree-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.fr
dcterms.alternativeCorrection to: Abdominal motion tracking with free‑breathing XD‑GRASP acquisitions using spatio‑temporal geodesic trajectoriesfr
dcterms.descriptionLes biographies corrigées des auteurs Liset Vazquez Romaguera, Catherine Huet et Guillaume Gilbert se retrouvent ici : https://doi.org/10.1007/s11517-022-02531-1fr
dcterms.isPartOfurn:ISSN:0140-0118fr
dcterms.isPartOfurn:ISSN:1741-0444fr
dcterms.languageengfr
UdeM.ReferenceFournieParDeposantMansour R, Romaguera LV, Huet C, et al. Abdominal motion tracking with free-breathing XD-GRASP acquisitions using spatio-temporal geodesic trajectories [published correction appears in Med Biol Eng Comput. 2022 Apr;60(4):1223]. Med Biol Eng Comput. 2022;60(2):583-598. doi:10.1007/s11517-021-02477-wfr
UdeM.VersionRioxxVersion acceptée / Accepted Manuscriptfr
oaire.citationTitleMedical and biological engineering and computingfr
oaire.citationVolume60fr
oaire.citationIssue2fr
oaire.citationStartPage583fr
oaire.citationEndPage598fr


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