Fast quantitative parameter maps without fitting: Integration yields accurate mono‐exponential signal decay rates

To develop a computationally fast and accurate algorithm for mono‐exponential signal modelling and validate the new technique in the context of R2* mapping for iron overload assessment.

[1]  Ruitian Song,et al.  Improved transverse relaxation rate measurement techniques for the assessment of hepatic and myocardial iron content , 2007, Journal of magnetic resonance imaging : JMRI.

[2]  Paul S Babyn,et al.  Accurate liver T  *2 measurement of iron overload: A simulations investigation and in vivo study , 2009, Journal of magnetic resonance imaging : JMRI.

[3]  Aaron J. Miller,et al.  The use of power images to perform quantitative analysis on low SNR MR images. , 1993, Magnetic resonance imaging.

[4]  T. Coates,et al.  MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients. , 2005, Blood.

[5]  C. Hillenbrand,et al.  Comparison of whole liver and small region-of-interest measurements of MRI liver R2* in children with iron overload , 2010, Pediatric Radiology.

[6]  H. Gudbjartsson,et al.  The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.

[7]  T. Coates,et al.  Spleen R2 and R2* in iron‐overloaded patients with sickle cell disease and thalassemia major , 2009, Journal of magnetic resonance imaging : JMRI.

[8]  R. Henkelman.  Measurement of signal intensities in the presence of noise in MR images. , 1985, Medical physics.

[9]  M. Robson,et al.  Quantitative ultrashort echo time imaging for assessment of massive iron overload at 1.5 and 3 Tesla , 2017, Magnetic resonance in medicine.

[10]  D. Pennell,et al.  Improved MRI R2* relaxometry of iron‐loaded liver with noise correction , 2013, Magnetic resonance in medicine.

[11]  R A Knight,et al.  MR imaging of human brain at 3.0 T: preliminary report on transverse relaxation rates and relation to estimated iron content. , 1999, Radiology.

[12]  C. Hillenbrand,et al.  R2* magnetic resonance imaging of the liver in patients with iron overload. , 2009, Blood.

[13]  J. Boire,et al.  T2 maximum likelihood estimation from multiple spin‐echo magnitude images , 1996, Magnetic resonance in medicine.

[14]  Fang Dong,et al.  Algorithm for fast monoexponential fitting based on Auto‐Regression on Linear Operations (ARLO) of data , 2015, Magnetic resonance in medicine.

[15]  D N Firmin,et al.  Cardiovascular T2-star (T2*) magnetic resonance for the early diagnosis of myocardial iron overload. , 2001, European heart journal.

[16]  Tallal C. Mamisch,et al.  Axial T2* mapping in intervertebral discs: a new technique for assessment of intervertebral disc degeneration , 2012, European Radiology.

[17]  William H. Press,et al.  Numerical recipes , 1990 .

[18]  S. Rauch,et al.  R2* Relaxometry for the Quantification of Hepatic Iron Overload: Biopsy-Based Calibration and Comparison with the Literature , 2015, Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

[19]  Ruitian Song,et al.  Simultaneous field and R  2* mapping to quantify liver iron content using autoregressive moving average modeling , 2012, Journal of magnetic resonance imaging : JMRI.

[20]  S. Reeder,et al.  Quantification of liver iron with MRI: State of the art and remaining challenges , 2014, Journal of magnetic resonance imaging : JMRI.

[21]  Measurement of magnetic resonance T2 for physiological experiments. , 1997, Journal of applied physiology.

[22]  C. Hillenbrand,et al.  Automated T2* measurements using supplementary field mapping to assess cardiac iron content , 2013, Journal of magnetic resonance imaging : JMRI.

[23]  D. Pennell,et al.  Myocardial T  2* measurements in iron‐overloaded thalassemia: An in vivo study to investigate optimal methods of quantification , 2008, Magnetic resonance in medicine.