Automated patient‐specific optimization of three‐dimensional double‐inversion recovery magnetic resonance imaging

To automatically optimize three‐dimensional double‐inversion recovery (3D‐DIR) MRI of the brain on a patient‐by‐patient basis.

[1]  R. Steen,et al.  Precise and accurate measurement of proton T1 in human brain in vivo: Validation and preliminary clinical application , 1994, Journal of magnetic resonance imaging : JMRI.

[2]  Heinrich Lanfermann,et al.  Detection of lesions in multiple sclerosis by 2D FLAIR and single-slab 3D FLAIR sequences at 3.0 T: initial results , 2006, European Radiology.

[3]  A M Dale,et al.  Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Richard Kijowski,et al.  Effects of refocusing flip angle modulation and view ordering in 3D fast spin echo , 2008, Magnetic resonance in medicine.

[5]  Santiago Aja-Fernández,et al.  Noise estimation in single- and multiple-coil magnetic resonance data based on statistical models. , 2009, Magnetic resonance imaging.

[6]  M. Griswold,et al.  Inversion recovery TrueFISP: Quantification of T1, T2, and spin density , 2004, Magnetic resonance in medicine.

[7]  Chiara Romualdi,et al.  Detection of cortical inflammatory lesions by double inversion recovery magnetic resonance imaging in patients with multiple sclerosis. , 2007, Archives of neurology.

[8]  G. Barker,et al.  Evolution of the longitudinal magnetization for pulse sequences using a fast spin‐echo readout: Application to fluid‐attenuated inversion‐recovery and double inversion‐recovery sequences , 2005, Magnetic Resonance in Medicine.

[9]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[10]  P. Narayana,et al.  Improved Identification of Intracortical Lesions in Multiple Sclerosis with Phase-Sensitive Inversion Recovery in Combination with Fast Double Inversion Recovery MR Imaging , 2007, American Journal of Neuroradiology.

[11]  M. Ron,et al.  MS Cortical Lesions on DIR: Not Quite What They Seem? , 2013, PloS one.

[12]  John P Mugler,et al.  Optimized three‐dimensional fast‐spin‐echo MRI , 2014, Journal of magnetic resonance imaging : JMRI.

[13]  Kenneth Levenberg A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[14]  P. E. Morris,et al.  Water proton T1 measurements in brain tissue at 7, 3, and 1.5T using IR-EPI, IR-TSE, and MPRAGE: results and optimization , 2008, Magnetic Resonance Materials in Physics, Biology and Medicine.

[15]  J. Hennig Multiecho imaging sequences with low refocusing flip angles , 1988 .

[16]  O. Ciccarelli,et al.  Consensus recommendations for MS cortical lesion scoring using double inversion recovery MRI , 2011, Neurology.

[17]  Ponnada A Narayana,et al.  Automated brain extraction from T2‐weighted magnetic resonance images , 2011, Journal of magnetic resonance imaging : JMRI.

[18]  K. Scheffler A pictorial description of steady-states in rapid magnetic resonance imaging , 1999 .

[19]  P A Narayana,et al.  Implementation and evaluation of a new pulse sequence for rapid acquisition of double inversion recovery images for simultaneous suppression of white matter and CSF , 1998, Journal of magnetic resonance imaging : JMRI.

[20]  Khaled Z. Abd-Elmoniem,et al.  The Feasibility of 350 &mgr;m Spatial Resolution Coronary Magnetic Resonance Angiography at 3 T in Humans , 2012, Investigative radiology.

[21]  P. Boesiger,et al.  SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.

[22]  Emilio Esparza-Coss,et al.  Improved three‐dimensional Look–Locker acquisition scheme and angle map filtering procedure for T1 estimation , 2013, NMR in biomedicine.

[23]  T W Redpath,et al.  Technical note: use of a double inversion recovery pulse sequence to image selectively grey or white brain matter. , 1994, The British journal of radiology.

[24]  Guy Marchal,et al.  Automated multi-modality image registration based on information theory , 1995 .

[25]  Frederik Barkhof,et al.  Intracortical lesions in multiple sclerosis: improved detection with 3D double inversion-recovery MR imaging. , 2005, Radiology.

[26]  F Träber,et al.  Double inversion recovery brain imaging at 3T: diagnostic value in the detection of multiple sclerosis lesions. , 2007, AJNR. American journal of neuroradiology.

[27]  O. Ciccarelli,et al.  MS cortical lesions on double inversion recovery MRI , 2012, Neurology.

[28]  M. Bernstein,et al.  Measurements of T 1 Relaxation times at 3 . 0 T : Implications for clinical MRA , 2001 .

[29]  D. Look,et al.  Time Saving in Measurement of NMR and EPR Relaxation Times , 1970 .

[30]  Xavier Golay,et al.  Improved detection of cortical MS lesions with phase-sensitive inversion recovery MRI , 2012, Journal of Neurology, Neurosurgery & Psychiatry.

[31]  F. Barkhof,et al.  Improved in vivo detection of cortical lesions in multiple sclerosis using double inversion recovery MR imaging at 3 Tesla , 2010, European Radiology.

[32]  Refaat E. Gabr,et al.  Online brain tissue classification in multiple sclerosis using a scanner-integrated image analysis pipeline , 2015, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

[33]  R. Busse,et al.  Fast spin echo sequences with very long echo trains: Design of variable refocusing flip angle schedules and generation of clinical T2 contrast , 2006, Magnetic resonance in medicine.

[34]  B K Rutt,et al.  A fast 3D look-locker method for volumetric T1 mapping. , 1999, Magnetic resonance imaging.

[35]  K. Scheffler,et al.  Multiecho sequences with variable refocusing flip angles: Optimization of signal behavior using smooth transitions between pseudo steady states (TRAPS) , 2003, Magnetic resonance in medicine.

[36]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[37]  Brian B. Avants,et al.  An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data , 2011, Neuroinformatics.

[38]  F. Barkhof,et al.  Postmortem verification of MS cortical lesion detection with 3D DIR , 2012, Neurology.