Jerome Chaptinel1, Davide Piccini1,2, Gabriele Bonanno1, Simone Coppo1, Pierre Monney3, Matthias Stuber1,4, Juerg Schwitter5. 1. Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland. 2. Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland. 3. Division of Cardiology and Cardiac MR Center, University Hospital of Lausanne (CHUV), Lausanne, Switzerland. 4. Center for Biomedical Imaging (CIBM), Lausanne, Switzerland. 5. Division of Cardiology and Cardiac MR Center, University Hospital of Lausanne (CHUV), Lausanne, Switzerland. jurg.schwitter@chuv.ch.
Abstract
OBJECTIVES: Our objective was to test a data-exclusion strategy for respiratory motion suppression by retrospectively eliminating data acquired at extreme respiratory positions for improved coronary vessel sharpness (VS) of 1-D self-navigated 3-D radial whole-heart coronary angiography acquisitions. MATERIALS AND METHODS: 3-D radial self-navigated acquisitions were performed on a 1.5T scanner in volunteers during free-breathing (n = 8), in coached volunteers (n = 13) who were asked to breathe in a controlled manner to mimic cardiovascular patients presenting with Cheyne-Stokes breathing, and in free-breathing patients (n = 20). Data collected during large respiratory excursions were gradually excluded retrospectively from the reconstruction yielding 14 data sets per subject on average. The impact on VS, blood and myocardium signal-to-noise and contrast-to-noise was measured. From these results, two retrospective gating strategies were defined for the k-line elimination procedure and tested in all groups. RESULTS: Maximum right coronary artery VS improvement was +7.4 and +2.7% in coached volunteers and patients (P < 0.0001 for both), respectively, and 1.6% for the free-breathing volunteers (P = 0.13). The first gating strategy was defined as a fixed undersampling factor of 5 compared to a fully sampled 3-D radial acquisition, yielding significant VS improvement in coached volunteers and patients while myocardial signal-to-noise decreased in these. The second strategy was defined as a fixed gating window of 5.7 mm, leading to similar improvements. CONCLUSION: The presented strategies improve image quality of self-navigated acquisitions by retrospectively excluding data collected during end-inspiration.
OBJECTIVES: Our objective was to test a data-exclusion strategy for respiratory motion suppression by retrospectively eliminating data acquired at extreme respiratory positions for improved coronary vessel sharpness (VS) of 1-D self-navigated 3-D radial whole-heart coronary angiography acquisitions. MATERIALS AND METHODS: 3-D radial self-navigated acquisitions were performed on a 1.5T scanner in volunteers during free-breathing (n = 8), in coached volunteers (n = 13) who were asked to breathe in a controlled manner to mimic cardiovascularpatients presenting with Cheyne-Stokes breathing, and in free-breathing patients (n = 20). Data collected during large respiratory excursions were gradually excluded retrospectively from the reconstruction yielding 14 data sets per subject on average. The impact on VS, blood and myocardium signal-to-noise and contrast-to-noise was measured. From these results, two retrospective gating strategies were defined for the k-line elimination procedure and tested in all groups. RESULTS: Maximum right coronary artery VS improvement was +7.4 and +2.7% in coached volunteers and patients (P < 0.0001 for both), respectively, and 1.6% for the free-breathing volunteers (P = 0.13). The first gating strategy was defined as a fixed undersampling factor of 5 compared to a fully sampled 3-D radial acquisition, yielding significant VS improvement in coached volunteers and patients while myocardial signal-to-noise decreased in these. The second strategy was defined as a fixed gating window of 5.7 mm, leading to similar improvements. CONCLUSION: The presented strategies improve image quality of self-navigated acquisitions by retrospectively excluding data collected during end-inspiration.
Authors: W G Austen; J E Edwards; R L Frye; G G Gensini; V L Gott; L S Griffith; D C McGoon; M L Murphy; B B Roe Journal: Circulation Date: 1975-04 Impact factor: 29.690
Authors: M V McConnell; V C Khasgiwala; B J Savord; M H Chen; M L Chuang; R R Edelman; W J Manning Journal: AJR Am J Roentgenol Date: 1997-05 Impact factor: 3.959
Authors: Christoph Forman; Robert Grimm; Jana Maria Hutter; Andreas Maier; Joachim Hornegger; Michael O Zenge Journal: Med Image Comput Comput Assist Interv Date: 2013
Authors: Davide Piccini; Pierre Monney; Christophe Sierro; Simone Coppo; Gabriele Bonanno; Ruud B van Heeswijk; Jérôme Chaptinel; Gabriella Vincenti; Jonathan de Blois; Simon C Koestner; Tobias Rutz; Arne Littmann; Michael O Zenge; Juerg Schwitter; Matthias Stuber Journal: Radiology Date: 2013-11-06 Impact factor: 11.105