Fast generation of T2⁎ maps in the entire range of clinical interest: Application to thalassemia major patients

T2* maps obtained by the processing of multiecho MR sequences can be useful in several clinical applications. T2* map generation procedures should join a processing time compatible with on-line image analysis with a good precision in the entire T2* range of clinical interest. Fast generation of T2* maps can be achieved by the estimation of the T2* values by the weighted linear fitting of the logarithm of the signal (WLSL) method. This approach fails if the signal decay diverges from a pure exponential decay, as happens at low T2* values where the rapid decay in the signal intensity leads to a plateau in the later echo times (TE). The proposed method implements the automatic truncation of the signal decay curves to be fitted in order to compensate for the signal collapse at low T2* values, allowing the extension of the WLSL method through the entire clinical range of T2* values. Validation was performed on synthetic images and on 60 thalassemia major patients with different levels of myocardial iron overload. Phantom experiments showed that a 5% fitting error threshold represented the best compromise between T2* value measurement precision and processing time. A good agreement was found between T2* map pixel-wise measurements and ROI-based measurements performed by expert readers (CoV=1.84% in global heart T2*, CoV=5.8% in segmental analysis). In conclusion, the developed procedure was effective in generating correct T2* maps for the entire T2* clinical range.

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

[2]  Luigi Landini,et al.  Evaluation of a web-based network for reproducible T2* MRI assessment of iron overload in thalassemia , 2009, Int. J. Medical Informatics.

[3]  T. Schaeffter,et al.  Limits of detection of SPIO at 3.0 T using T2* relaxometry , 2005, Magnetic resonance in medicine.

[4]  E. McVeigh,et al.  Signal‐to‐noise measurements in magnitude images from NMR phased arrays , 1997 .

[5]  O. Simonetti,et al.  T2 quantification for improved detection of myocardial edema , 2009, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[6]  Massimo Lombardi,et al.  Regional and global pancreatic T*2 MRI for iron overload assessment in a large cohort of healthy subjects: Normal values and correlation with age and gender , 2011, Magnetic resonance in medicine.

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

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

[9]  Randolph K Otto,et al.  Liver and heart MR relaxometry in iron loading: Reproducibility of three methods , 2013, Journal of magnetic resonance imaging : JMRI.

[10]  Sean B. Fain,et al.  Blood oxygen level-dependent and perfusion magnetic resonance imaging: detecting differences in oxygen bioavailability and blood flow in transplanted kidneys. , 2010, Magnetic resonance imaging.

[11]  Massimo Midiri,et al.  Improved T2* assessment in liver iron overload by magnetic resonance imaging. , 2009, Magnetic resonance imaging.

[12]  M. Cerqueira,et al.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association , 2002, The international journal of cardiovascular imaging.

[13]  Massimo Midiri,et al.  Standardized T2* map of normal human heart in vivo to correct T2* segmental artefacts , 2007, NMR in biomedicine.

[14]  Winnie C W Chu,et al.  MRI of cardiac iron overload , 2012, Journal of magnetic resonance imaging : JMRI.

[15]  T. Coates,et al.  Improved R2* measurements in myocardial iron overload , 2006, Journal of magnetic resonance imaging : JMRI.

[16]  Thomas D. Coates,et al.  2 and R 2 * mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients , 2005 .

[17]  Orpheus Kolokythas,et al.  A simulation-based comparison of two methods for determining relaxation rates from relaxometry images. , 2011, Magnetic resonance imaging.

[18]  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.

[19]  Massimo Lombardi,et al.  Cardiac R2* values are independent of the image analysis approach employed , 2014, Magnetic resonance in medicine.

[20]  Massimo Lombardi,et al.  Fast approximation to pixelwise relaxivity maps: validation in iron overloaded subjects. , 2013, Magnetic resonance imaging.

[21]  Jeanette Schulz-Menger,et al.  An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging , 2010, BMC Medical Imaging.

[22]  Massimo Lombardi,et al.  Single region of interest versus multislice T2* MRI approach for the quantification of hepatic iron overload , 2011, 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.

[24]  Yanqiu Feng,et al.  Automated truncation method for myocardial T2* measurement in thalassemia , 2013, Journal of magnetic resonance imaging : JMRI.

[25]  X Golay,et al.  MR imaging of the human brain at 1.5 T: regional variations in transverse relaxation rates in the cerebral cortex. , 2001, AJNR. American journal of neuroradiology.

[26]  Jan Sijbers,et al.  Optimal estimation of T2 maps from magnitude MR images , 1998, Medical Imaging.

[27]  Massimo Midiri,et al.  Multicenter validation of the magnetic resonance t2* technique for segmental and global quantification of myocardial iron , 2009, Journal of magnetic resonance imaging : JMRI.

[28]  M. Cerqueira,et al.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. , 2002, Circulation.

[29]  Thomas D. Coates,et al.  Cardiac Iron Determines Cardiac T2*, T2, and T1 in the Gerbil Model of Iron Cardiomyopathy , 2005, Circulation.

[30]  Alessandro Pingitore,et al.  Quantitative analysis of late gadolinium enhancement in hypertrophic cardiomyopathy , 2010, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[31]  Mark Fogel,et al.  International reproducibility of single breathhold T2* MR for cardiac and liver iron assessment among five thalassemia centers , 2010, Journal of magnetic resonance imaging : JMRI.

[32]  Einar Heiberg,et al.  Improved quantification of T2* relaxation in magnetic resonance imaging , 2011, Journal of Cardiovascular Magnetic Resonance.

[33]  A. Macovski Noise in MRI , 1996, Magnetic resonance in medicine.

[34]  Massimo Midiri,et al.  Multislice multiecho T2* cardiac magnetic resonance for the detection of heterogeneous myocardial iron distribution in thalassaemia patients , 2009, NMR in biomedicine.

[35]  John C Wood,et al.  Magnetic Resonance Imaging Assessment of Excess Iron in Thalassemia, Sickle Cell Disease and Other Iron Overload Diseases , 2008, Hemoglobin.

[36]  S. Schoenberg,et al.  Influence of multichannel combination, parallel imaging and other reconstruction techniques on MRI noise characteristics. , 2008, Magnetic resonance imaging.