A Biological Phantom for Contrast-Media-Based Perfusion Studies With CT

Objectives:Perfusion computed tomography (PCT) is increasingly getting popular with the advent of computed tomography (CT) systems with adequate temporal resolution and spatial coverage. We sought to develop a biological phantom for perfusion measurements in CT to design, improve, and validate scan protocols and postprocessing algorithms in vitro. Materials and Methods:A special technique was applied to prepare and preserve a fresh porcine kidney. The kidney was connected to an open circuit driven by a peristaltic pump with the option to inject contrast material. We evaluated repeated dynamic contrast-enhanced CT acquisitions with different input flow rates and the relation to calculated parenchymal flow results of the phantom. Flow was calculated with 2 different algorithms. Identical scans were performed with a time interval of 1 year to check long-term stability of the phantom. Different bolus geometries were designed and bolus dispersion was measured for the setup using a tubing array. Results:We found a linear relationship between the input flow rate of the circuit and the calculated phantom tissue flow with a correlation coefficient rr2 = 0.99 for both algorithms. Both algorithms resulted in very similar absolute values, the mean difference was 3.1 mL/100 mL/min. Perfusion measurements with contrast material injection and storage did not alter the phantom. The enhancement properties did not change over the time of 1 year. With our setup, it was possible to design typical bolus geometries as they occur in clinical practice. Bolus dispersion was small: peak enhancement and bolus width changed by about only 5% over 2-m tube length. Conclusions:A phantom for parenchymal flow measurements suitable for repeated measurements over a long period of time was developed. The setup allows the design of diverse bolus geometries with negligible dispersion.

[1]  Klaus Sartor,et al.  Comparison of Perfusion Computed Tomography and Computed Tomography Angiography Source Images With Perfusion-Weighted Imaging and Diffusion-Weighted Imaging in Patients With Acute Stroke of Less Than 6 Hours’ Duration , 2004, Stroke.

[2]  S Rees,et al.  Measurement of tissue perfusion by dynamic computed tomography. , 1992, The British journal of radiology.

[3]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[4]  N. Holalkere,et al.  Advanced hepatocellular carcinoma: CT perfusion of liver and tumor tissue--initial experience. , 2007, Radiology.

[5]  Ernst Klotz,et al.  Lung cancer perfusion at multi-detector row CT: reproducibility of whole tumor quantitative measurements. , 2006, Radiology.

[6]  M. Meissler,et al.  Absolute Quantification of Regional Renal Blood Flow in Swine by Dynamic Contrast-Enhanced Magnetic Resonance Imaging Using a Blood Pool Contrast Agent , 2009, Investigative radiology.

[7]  K. Yamashita,et al.  Quantitative perfusion imaging with pulsed arterial spin labeling: a phantom study. , 2007, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[8]  L Axel,et al.  Tissue mean transit time from dynamic computed tomography by a simple deconvolution technique. , 1983, Investigative radiology.

[9]  Behzad Ebrahimi,et al.  A perfusion phantom for quantitative medical imaging , 2008, SPIE Medical Imaging.

[10]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[11]  Vicky Goh,et al.  Acute tumor vascular effects following fractionated radiotherapy in human lung cancer: In vivo whole tumor assessment using volumetric perfusion computed tomography. , 2007, International journal of radiation oncology, biology, physics.

[12]  Martin Mory,et al.  [An experimental organ model for magnetic resonance imaging]. , 2007, Zeitschrift fur medizinische Physik.

[13]  E. Ritman,et al.  Assessment of renal hemodynamics and function in pigs with 64-section multidetector CT: comparison with electron-beam CT. , 2007, Radiology.

[14]  M. Goyal,et al.  State-of-the-art imaging of acute stroke. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[15]  E. Wellnhofer,et al.  Continuous measurements of renal perfusion in pigs by means of intravascular Doppler. , 2001, Kidney international.

[16]  E Klotz,et al.  Perfusion measurements of the brain: using dynamic CT for the quantitative assessment of cerebral ischemia in acute stroke. , 1999, European journal of radiology.

[17]  K. Miles,et al.  Measurement of tissue perfusion by dynamic computed tomography. , 1991, The British journal of radiology.

[18]  R A Robb,et al.  X-ray computed tomographic (CT) phantom designed for the development of techniques for measurement of myocardial perfusion. , 1991, Physics in medicine and biology.

[19]  E. Klotz,et al.  Comprehensive imaging of ischemic stroke with multisection CT. , 2003, Radiographics : a review publication of the Radiological Society of North America, Inc.

[20]  A J Hindle,et al.  A perfusion phantom for the evaluation of ultrasound contrast agents. , 1994, Ultrasound in medicine & biology.

[21]  T. Roberts,et al.  Computed Tomography Perfusion Using First Pass Methods for Lung Nodule Characterization , 2008, Investigative radiology.

[22]  Y. Yamashita,et al.  Contrast Injection Protocols for Coronary Computed Tomography Angiography Using a 64-Detector Scanner: Comparison Between Patient Weight-Adjusted- and Fixed Iodine-Dose Protocols , 2008, Investigative radiology.

[23]  Massimo Bellomi,et al.  CT perfusion for the monitoring of neoadjuvant chemotherapy and radiation therapy in rectal carcinoma: initial experience. , 2007, Radiology.

[24]  D R Pickens,et al.  Magnetic resonance perfusion/diffusion imaging of the excised dog kidney. , 1992, Investigative radiology.

[25]  P. Sheedy,et al.  Noninvasive evaluation of a novel swine model of renal artery stenosis. , 1999, Journal of the American Society of Nephrology : JASN.

[26]  E Klotz,et al.  Perfusion CT of the brain: diagnostic approach for early detection of ischemic stroke. , 1998, Radiology.

[27]  T. Hess,et al.  Ein experimentelles Organmodell für die MR-Bildgebung , 2007 .

[28]  Ernst Klotz,et al.  Perfusion CT: noninvasive surrogate marker for stratification of pancreatic cancer response to concurrent chemo- and radiation therapy. , 2009, Radiology.

[29]  Jürgen Biederer,et al.  Artificial thorax for MR imaging studies in porcine heart-lung preparations. , 2003, Radiology.

[30]  T. Vogl,et al.  Differentiation of benign and malignant parotid tumors using deconvolution-based perfusion CT imaging: feasibility of the method and initial results. , 2007, European journal of radiology.

[31]  V. Goh,et al.  Differentiation between diverticulitis and colorectal cancer: quantitative CT perfusion measurements versus morphologic criteria--initial experience. , 2007, Radiology.