SCALE-PWI: A Pulse Sequence for Absolute Quantitative Cerebral Perfusion Imaging

The Bookend technique is a magnetic resonance imaging (MRI) dynamic susceptibility contrast method that provides reliable quantitative measurement of cerebral blood flow (CBF) and cerebral blood volume (CBV). The quantification is patient specific, is derived from a steady-state measurement of CBV, and is obtained from T1 changes in the white matter and the blood pool after contrast agent injection. In the current implementation, the Bookend technique consists of three scanning steps requiring a cumulative scan time of 3minutes 47seconds, a well-trained technologist, and extra time for offline image reconstruction. We present an automation and acceleration of the multiscan Bookend protocol through a self-calibrating pulse sequence, namely Self-Calibrated Epi Perfusion-Weighted Imaging (SCALE-PWI). The SCALE-PWI is a single-shot echo-planar imaging pulse sequence with three modules and a total scan time of under 2minutes. It provides the possibility of performing online, quantitative perfusion image reconstruction, which reduces the latency to obtain quantitative maps. A validation study in healthy volunteers (N = 19) showed excellent agreement between SCALE-PWI and the conventional Bookend protocol (P > 0.05 with Student's t-test, r = 0.95/slope = 0.98 for quantitative CBF, and r = 0.91/slope = 0.94 for quantitative CBV). A single MRI pulse sequence for absolute quantification of cerebral perfusion has been developed.

[1]  B R Rosen,et al.  Improving MR quantification of regional blood volume with intravascular T1 contrast agents: Accuracy, precision, and water exchange , 1996, Magnetic resonance in medicine.

[2]  Peter Kellman,et al.  Image reconstruction in SNR units: A general method for SNR measurement † , 2005, Magnetic resonance in medicine.

[3]  W. Lin,et al.  Quantitative measurements of cerebral blood flow in patients with unilateral carotid artery occlusion: A PET and MR study , 2001, Journal of magnetic resonance imaging : JMRI.

[4]  V. Kiselev Transverse relaxation effect of MRI contrast agents: A crucial issue for quantitative measurements of cerebral perfusion , 2005, Journal of magnetic resonance imaging : JMRI.

[5]  Wanyong Shin,et al.  Quantification of cerebral perfusion using the "bookend technique": an evaluation in CNS tumors. , 2008, Magnetic resonance imaging.

[6]  M. Viergever,et al.  Correcting partial volume artifacts of the arterial input function in quantitative cerebral perfusion MRI , 2001, Magnetic resonance in medicine.

[7]  Weili Lin,et al.  Temporal Relationship Between Apparent Diffusion Coefficient and Absolute Measurements of Cerebral Blood Flow in Acute Stroke Patients , 2003, Stroke.

[8]  A. Demchuk,et al.  Acute Intravenous–Intra-Arterial Revascularization Therapy for Severe Ischemic Stroke , 2002, Stroke.

[9]  Leif Østergaard,et al.  How Reliable Is Perfusion MR in Acute Stroke?: Validation and Determination of the Penumbra Threshold Against Quantitative PET , 2008, Stroke.

[10]  William J Powers,et al.  Variability of cerebral blood volume and oxygen extraction: stages of cerebral haemodynamic impairment revisited. , 2002, Brain : a journal of neurology.

[11]  W. Yuh,et al.  Guidelines and recommendations for perfusion imaging in cerebral ischemia: A scientific statement for healthcare professionals by the writing group on perfusion imaging, from the Council on Cardiovascular Radiology of the American Heart Association. , 2003, Stroke.

[12]  H Yonas,et al.  Ischemic core and penumbra in human stroke. , 1999, Stroke.

[13]  Pratik Mukherjee,et al.  Measurement of cerebral blood flow in chronic carotid occlusive disease: comparison of dynamic susceptibility contrast perfusion MR imaging with positron emission tomography. , 2003, AJNR. American journal of neuroradiology.

[14]  Egill Rostrup,et al.  Partial volume effect (PVE) on the arterial input function (AIF) in T1‐weighted perfusion imaging and limitations of the multiplicative rescaling approach , 2009, Magnetic resonance in medicine.

[15]  K Kuppusamy,et al.  In vivo regional cerebral blood volume: quantitative assessment with 3D T1-weighted pre- and postcontrast MR imaging. , 1996, Radiology.

[16]  K. Schmainda,et al.  Water exchange and inflow affect the accuracy of T1‐GRE blood volume measurements: Implications for the evaluation of tumor angiogenesis , 2002, Magnetic resonance in medicine.

[17]  V. Haughton,et al.  Automatic calculation of the arterial input function for cerebral perfusion imaging with MR imaging. , 2003, Radiology.

[18]  B. Rosen,et al.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis , 1996, Magnetic resonance in medicine.

[19]  C F Hazlewood,et al.  Nuclear magnetic resonance transverse relaxation times of water protons in skeletal muscle. , 1974, Biophysical journal.

[20]  J S Lewin,et al.  Hyperacute stroke: ultrafast MR imaging to triage patients prior to therapy. , 1999, Radiology.

[21]  Fernando Calamante,et al.  Bolus dispersion issues related to the quantification of perfusion MRI data , 2005, Journal of magnetic resonance imaging : JMRI.

[22]  Wanyong Shin,et al.  Method for improving the accuracy of quantitative cerebral perfusion imaging , 2005, Journal of magnetic resonance imaging : JMRI.

[23]  W D Heiss,et al.  Tissue at Risk of Infarction Rescued by Early Reperfusion: A Positron Emission Tomography Study in Systemic Recombinant Tissue Plasminogen Activator Thrombolysis of Acute Stroke , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[24]  Leif Østergaard,et al.  Analysis of partial volume effects on arterial input functions using gradient echo: A simulation study , 2009, Magnetic resonance in medicine.

[25]  Soonmee Cha,et al.  Perfusion MR Imaging of Brain Tumors , 2004, Topics in magnetic resonance imaging : TMRI.

[26]  Sandra E Black,et al.  Regional cerebral blood flow correlates of visuospatial tasks in Alzheimer's disease , 2008, Journal of the International Neuropsychological Society.

[27]  Wanyong Shin,et al.  Quantitative cerebral perfusion using dynamic susceptibility contrast MRI: Evaluation of reproducibility and age‐ and gender‐dependence with fully automatic image postprocessing algorithm , 2007, Magnetic resonance in medicine.

[28]  Scott Hamilton,et al.  Magnetic resonance imaging profiles predict clinical response to early reperfusion: The diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study , 2006, Annals of neurology.

[29]  T. Carroll,et al.  Quantitative CBV measurement from static T1 changes in tissue and correction for intravascular water exchange , 2006, Magnetic resonance in medicine.

[30]  R. Frackowiak,et al.  Quantitative Measurement of Regional Cerebral Blood Flow and Oxygen Metabolism in Man Using 15O and Positron Emission Tomography: Theory, Procedure, and Normal Values , 1980, Journal of computer assisted tomography.

[31]  David Norman,et al.  Hypercarbia‐induced changes in cerebral blood volume in the cat: A 1H MRI and intravascular contrast agent study , 1992, Magnetic resonance in medicine.

[32]  M. Raichle,et al.  Cerebral Blood Flow and Cerebral Metabolic Rate of Oxygen Requirements for Cerebral Function and Viability in Humans , 1985, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[33]  Richard S. J. Frackowiak,et al.  Cerebral blood flow, blood volume and oxygen utilization. Normal values and effect of age. , 1990, Brain : a journal of neurology.

[34]  R Deichmann,et al.  Quantification of T1 values by SNAPSHOT-FLASH NMR imaging , 1992 .

[35]  D Comar,et al.  Regional Cerebral Blood Flow and Oxygen Consumption in Human Aging , 1984, Stroke.

[36]  P S Tofts,et al.  Quantitative Analysis of Dynamic Gd‐DTPA Enhancement in Breast Tumors Using a Permeability Model , 1995, Magnetic resonance in medicine.

[37]  B. Rosen,et al.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results , 1996, Magnetic resonance in medicine.

[38]  J L Sunshine,et al.  Benefits of perfusion MR imaging relative to diffusion MR imaging in the diagnosis and treatment of hyperacute stroke. , 2001, AJNR. American journal of neuroradiology.