Jean Delacoste1, Jerome Chaptinel1, Catherine Beigelman-Aubry1, Davide Piccini1,2,3, Alain Sauty4,5, Matthias Stuber1,2. 1. Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland. 2. Center for Biomedical Imaging (CIBM), Lausanne, Switzerland. 3. Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland. 4. Adult CF Multisites Unit, Hospital of Morges, Morges, Switzerland. 5. Service of Pneumology, Department of Medicine, University Hospital (CHUV), Lausanne, Switzerland.
Abstract
PURPOSE: Magnetic resonance imaging is a promising alternative to computed tomography for lung imaging. However, organ motion and poor signal-to-noise ratio, arising from short T2*, impair image quality. To alleviate these issues, a new retrospective gating method was implemented and tested with an ultra-short echo time sequence. METHODS: A 3D double-echo ultra-short echo time sequence was used to acquire data during free breathing in ten healthy adult subjects. A self-gating method was used to reconstruct respiratory motion suppressed expiratory and inspiratory images. These images were objectively compared to uncorrected data sets using quantitative end-points (pulmonary vessel sharpness, lung-liver interface definition, signal-to-noise ratio). The method was preliminarily tested in two cystic fibrosis patients who underwent computed tomography. RESULTS: Vessel sharpness in expiratory ultra-short echo time data sets with second echo motion detection was significantly higher (13% relative increase) than in uncorrected images while the opposite was observed in inspiratory images. The method was successfully applied in patients and some findings (e.g., hypointense areas) were similar to those from computed tomography. CONCLUSION: Free breathing ultra-short echo time was successfully implemented, allowing flexible image reconstruction of two different respiratory states. Objective improvements in image quality were obtained with the new method and initial feasibility in a clinical setting was demonstrated. Magn Reson Med 79:2297-2305, 2018.
PURPOSE: Magnetic resonance imaging is a promising alternative to computed tomography for lung imaging. However, organ motion and poor signal-to-noise ratio, arising from short T2*, impair image quality. To alleviate these issues, a new retrospective gating method was implemented and tested with an ultra-short echo time sequence. METHODS: A 3D double-echo ultra-short echo time sequence was used to acquire data during free breathing in ten healthy adult subjects. A self-gating method was used to reconstruct respiratory motion suppressed expiratory and inspiratory images. These images were objectively compared to uncorrected data sets using quantitative end-points (pulmonary vessel sharpness, lung-liver interface definition, signal-to-noise ratio). The method was preliminarily tested in two cystic fibrosispatients who underwent computed tomography. RESULTS: Vessel sharpness in expiratory ultra-short echo time data sets with second echo motion detection was significantly higher (13% relative increase) than in uncorrected images while the opposite was observed in inspiratory images. The method was successfully applied in patients and some findings (e.g., hypointense areas) were similar to those from computed tomography. CONCLUSION: Free breathing ultra-short echo time was successfully implemented, allowing flexible image reconstruction of two different respiratory states. Objective improvements in image quality were obtained with the new method and initial feasibility in a clinical setting was demonstrated. Magn Reson Med 79:2297-2305, 2018.
Authors: Ruud B van Heeswijk; Roberto Colotti; Emeline Darçot; Jean Delacoste; Maxime Pellegrin; Davide Piccini; Diego Hernando Journal: Magn Reson Med Date: 2017-09-01 Impact factor: 4.668
Authors: Li Feng; Jean Delacoste; David Smith; Joseph Weissbrot; Eric Flagg; William H Moore; Francis Girvin; Roy Raad; Priya Bhattacharji; David Stoffel; Davide Piccini; Matthias Stuber; Daniel K Sodickson; Ricardo Otazo; Hersh Chandarana Journal: J Magn Reson Imaging Date: 2018-09-25 Impact factor: 4.813
Authors: Emeline Darçot; Mario Jreige; David C Rotzinger; Stacey Gidoin Tuyet Van; Alessio Casutt; Jean Delacoste; Julien Simons; Olivier Long; Flore Buela; Jean-Baptiste Ledoux; John O Prior; Alban Lovis; Catherine Beigelman-Aubry Journal: Front Med (Lausanne) Date: 2022-04-28