Fei Han1,2, Ziwu Zhou1,2, Stanislas Rapacchi1, Kim-Lien Nguyen1,3, J Paul Finn1, Peng Hu1,4. 1. Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA. 2. Department of Bioengineering, University of California, Los Angeles, California, USA. 3. Division of Cardiology, VA Greater Los Angeles Healthcare System and David Geffen School of Medicine, University of California, Los Angeles, California, USA. 4. Biomedical Physics Inter-Departmental Graduate Program, University of California, Los Angeles, California, USA.
Abstract
PURPOSE: Golden ratio (GR) radial reordering allows for retrospective choice of temporal resolution by providing a near-uniform k-space sampling within any reconstruction window. However, when applying GR to electrocardiogram (ECG)-gated cardiac imaging, the k-space coverage may not be as uniform because a single reconstruction window is broken into several temporally isolated ones. The goal of this study was to investigate the image artifacts caused by applying GR to ECG-gated cardiac imaging and to propose a segmented GR method to address this issue. METHODS: Computer simulation and phantom experiments were used to evaluate the image artifacts resulting from three k-space sampling patterns (ie, uniform radial, conventional GR, and segmented GR). Two- and three-dimensional cardiac cine images were acquired in seven healthy subjects. Imaging artifacts due to k-space sampling nonuniformity were graded on a 5-point scale by an experienced cardiac imaging reader. RESULTS: Segmented GR provides more uniform k-space sampling that is independent of heart-rate variation than conventional GR. Cardiac cine images using segmented GR have significantly higher and more reliable image quality than conventional GR. CONCLUSION: Segmented GR successfully addresses the nonuniform sampling that occurs with combining conventional GR with ECG gating. This technique can potentially be applied to any ECG-gated cardiac imaging application to allow for retrospective selection of a reconstruction window. Magn Reson Med 76:94-103, 2016.
PURPOSE: Golden ratio (GR) radial reordering allows for retrospective choice of temporal resolution by providing a near-uniform k-space sampling within any reconstruction window. However, when applying GR to electrocardiogram (ECG)-gated cardiac imaging, the k-space coverage may not be as uniform because a single reconstruction window is broken into several temporally isolated ones. The goal of this study was to investigate the image artifacts caused by applying GR to ECG-gated cardiac imaging and to propose a segmented GR method to address this issue. METHODS: Computer simulation and phantom experiments were used to evaluate the image artifacts resulting from three k-space sampling patterns (ie, uniform radial, conventional GR, and segmented GR). Two- and three-dimensional cardiac cine images were acquired in seven healthy subjects. Imaging artifacts due to k-space sampling nonuniformity were graded on a 5-point scale by an experienced cardiac imaging reader. RESULTS: Segmented GR provides more uniform k-space sampling that is independent of heart-rate variation than conventional GR. Cardiac cine images using segmented GR have significantly higher and more reliable image quality than conventional GR. CONCLUSION: Segmented GR successfully addresses the nonuniform sampling that occurs with combining conventional GR with ECG gating. This technique can potentially be applied to any ECG-gated cardiac imaging application to allow for retrospective selection of a reconstruction window. Magn Reson Med 76:94-103, 2016.
Authors: Martin Uecker; Peng Lai; Mark J Murphy; Patrick Virtue; Michael Elad; John M Pauly; Shreyas S Vasanawala; Michael Lustig Journal: Magn Reson Med Date: 2014-03 Impact factor: 4.668
Authors: Daming Shen; Robert R Edelman; Joshua D Robinson; Hassan Haji-Valizadeh; Marci Messina; Shivraman Giri; Ioannis Koktzoglou; Cynthia K Rigsby; Daniel Kim Journal: J Comput Assist Tomogr Date: 2018 Sep/Oct Impact factor: 1.826
Authors: Keigo Kawaji; Mita B Patel; Charles G Cantrell; Akiko Tanaka; Marco Marino; Satoshi Tamura; Hui Wang; Yi Wang; Timothy J Carroll; Takeyoshi Ota; Amit R Patel Journal: Med Phys Date: 2017-05-23 Impact factor: 4.071
Authors: Alexander Fyrdahl; Joao G Ramos; Maria J Eriksson; Kenneth Caidahl; Martin Ugander; Andreas Sigfridsson Journal: Magn Reson Med Date: 2019-10-21 Impact factor: 4.668
Authors: Francisco Contijoch; Yuchi Han; Srikant Kamesh Iyer; Peter Kellman; Gene Gualtieri; Mark A Elliott; Sebastian Berisha; Joseph H Gorman; Robert C Gorman; James J Pilla; Walter R T Witschey Journal: PLoS One Date: 2020-12-29 Impact factor: 3.752