PURPOSE: Subendocardial dark-rim artifacts (DRAs) remain a major concern in first-pass perfusion (FPP) myocardial MRI and may lower the diagnostic accuracy for detection of ischemia. A major source of DRAs is the "Gibbs ringing" effect. We propose an optimized radial acquisition strategy aimed at eliminating ringing-induced DRAs in FPP. THEORY AND METHODS: By studying the underlying point spread function (PSF), we show that optimized radial sampling with a simple reconstruction method can eliminate the oscillations in the PSF that cause ringing artifacts. We conducted realistic MRI phantom experiments and in vivo studies (n = 12 healthy humans) to evaluate the artifact behavior of the proposed imaging scheme in comparison to a conventional Cartesian imaging protocol. RESULTS: Simulations and phantom experiments verified our theoretical expectations. The in vivo studies showed that optimized radial imaging is capable of significantly reducing DRAs in the early myocardial enhancement phase (during which the ringing effect is most prominent and may obscure perfusion defects) while providing similar resolution and image quality compared with conventional Cartesian imaging. CONCLUSION: The developed technical framework and results demonstrate that, in comparison to conventional Cartesian techniques, optimized radial imaging with the proposed optimizations significantly reduces the prevalence and spatial extent of DRAs in FPP imaging.
PURPOSE: Subendocardial dark-rim artifacts (DRAs) remain a major concern in first-pass perfusion (FPP) myocardial MRI and may lower the diagnostic accuracy for detection of ischemia. A major source of DRAs is the "Gibbs ringing" effect. We propose an optimized radial acquisition strategy aimed at eliminating ringing-induced DRAs in FPP. THEORY AND METHODS: By studying the underlying point spread function (PSF), we show that optimized radial sampling with a simple reconstruction method can eliminate the oscillations in the PSF that cause ringing artifacts. We conducted realistic MRI phantom experiments and in vivo studies (n = 12 healthy humans) to evaluate the artifact behavior of the proposed imaging scheme in comparison to a conventional Cartesian imaging protocol. RESULTS: Simulations and phantom experiments verified our theoretical expectations. The in vivo studies showed that optimized radial imaging is capable of significantly reducing DRAs in the early myocardial enhancement phase (during which the ringing effect is most prominent and may obscure perfusion defects) while providing similar resolution and image quality compared with conventional Cartesian imaging. CONCLUSION: The developed technical framework and results demonstrate that, in comparison to conventional Cartesian techniques, optimized radial imaging with the proposed optimizations significantly reduces the prevalence and spatial extent of DRAs in FPP imaging.
Authors: Carsten Meyer; Katharina Strach; Daniel Thomas; Harold Litt; Claas P Nähle; Klaus Tiemann; Ulrich Schwenger; Hans H Schild; Torsten Sommer Journal: Eur Radiol Date: 2007-09-13 Impact factor: 5.315
Authors: Manish Motwani; Neil Maredia; Timothy A Fairbairn; Sebastian Kozerke; Aleksandra Radjenovic; John P Greenwood; Sven Plein Journal: Circ Cardiovasc Imaging Date: 2012-04-12 Impact factor: 7.792
Authors: S D Wolff; J Schwitter; R Coulden; M G Friedrich; D A Bluemke; R W Biederman; E T Martin; A J Lansky; F Kashanian; T K F Foo; P E Licato; C R Comeau Journal: Circulation Date: 2004-08-02 Impact factor: 29.690
Authors: Neil Maredia; Aleksandra Radjenovic; Sebastian Kozerke; Abdulghani Larghat; John P Greenwood; Sven Plein Journal: Magn Reson Med Date: 2010-09-27 Impact factor: 4.668
Authors: David Chen; Behzad Sharif; Rohan Dharmakumar; Louise E J Thomson; C Noel Bairey Merz; Daniel S Berman; Debiao Li Journal: Magn Reson Med Date: 2013-10-01 Impact factor: 4.668
Authors: Behzad Sharif; Rohan Dharmakumar; Reza Arsanjani; Louise Thomson; C Noel Bairey Merz; Daniel S Berman; Debiao Li Journal: Magn Reson Med Date: 2014-01-17 Impact factor: 4.668
Authors: Peter Bannas; Mark L Schiebler; Utaroh Motosugi; Christopher J François; Scott B Reeder; Scott K Nagle Journal: Eur Radiol Date: 2014-05-28 Impact factor: 5.315
Authors: Nivedita K Naresh; Hassan Haji-Valizadeh; Pascale J Aouad; Matthew J Barrett; Kelvin Chow; Ann B Ragin; Jeremy D Collins; James C Carr; Daniel C Lee; Daniel Kim Journal: Magn Reson Med Date: 2018-11-12 Impact factor: 4.668
Authors: Yang Yang; Craig H Meyer; Frederick H Epstein; Christopher M Kramer; Michael Salerno Journal: Magn Reson Med Date: 2018-10-12 Impact factor: 4.668
Authors: Erik T Bieging; I Haider; G Adluru; L Chang; P Suksaranjit; D Likhite; A Shaaban; L Jensen; B D Wilson; C J McGann; E DiBella Journal: Int J Cardiovasc Imaging Date: 2017-05-20 Impact factor: 2.357