Literature DB >> 32210495

Effect of Beam Hardening on Transmural Myocardial Perfusion Quantification in Myocardial CT Imaging.

Rachid Fahmi1, Brendan L Eck1, Jacob Levi2, Anas Fares3, Hao Wu1, Mani Vembar4, Amar Dhanantwari4, Hiram G Bezerra3, David L Wilson1,5.   

Abstract

The detection of subendocardial ischemia exhibiting an abnormal transmural perfusion gradient (TPG) may help identify ischemic conditions due to micro-vascular dysfunction. We evaluated the effect of beam hardening (BH) artifacts on TPG quantification using myocardial CT perfusion (CTP). We used a prototype spectral detector CT scanner (Philips Healthcare) to acquire dynamic myocardial CTP scans in a porcine ischemia model with partial occlusion of the left anterior descending (LAD) coronary artery guided by pressure wire-derived fractional flow reserve (FFR) measurements. Conventional 120 kVp and 70 keV projection-based mono-energetic images were reconstructed from the same projection data and used to compute myocardial blood flow (MBF) using the Johnson-Wilson model. Under moderate LAD occlusion (FFR~0.7), we used three 5 mm short axis slices and divided the myocardium into three LAD segments and three remote segments. For each slice and each segment, we characterized TPG as the mean "endo-to-epi" transmural flow ratio (TFR). BH-induced hypoenhancement on the ischemic anterior wall at 120 kVp resulted in significantly lower mean TFR value as compared to the 70 keV TFR value (0.29±0.01 vs. 0.55±0.01; p<1e-05). No significant difference was measured between 120 kVp and 70 keV mean TFR values on segments moderately affected or unaffected by BH. In the entire ischemic LAD territory, 120 kVp mean endocardial flow was significantly reduced as compared to mean epicardial flow (15.80±10.98 vs. 40.85±23.44 ml/min/100g; p<1e-04). At 70 keV, BH was effectively minimized resulting in mean endocardial MBF of 40.85±15.3407 ml/min/100g vs. 74.09±5.07 ml/min/100g (p=0.0054) in the epicardium. We also found that BH artifact in the conventional 120 kVp images resulted in falsely reduced MBF measurements even under non-ischemic conditions.

Entities:  

Keywords:  Myocardial CT perfusion; beam hardening; dual energy CT; myocardial blood flow; spectral detector CT; transmural perfusion gradient

Year:  2016        PMID: 32210495      PMCID: PMC7093060          DOI: 10.1117/12.2217447

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  11 in total

1.  Quantitative myocardial perfusion imaging using rapid kVp switch dual-energy CT: preliminary experience.

Authors:  Aaron So; Ting-Yim Lee; Yasuhiro Imai; Suresh Narayanan; Jiang Hsieh; John Kramer; Karen Procknow; Jonathon Leipsic; Troy Labounty; James Min
Journal:  J Cardiovasc Comput Tomogr       Date:  2011-10-25

2.  Prospectively ECG-triggered rapid kV-switching dual-energy CT for quantitative imaging of myocardial perfusion.

Authors:  Aaron So; Jiang Hsieh; Yasuhiro Imai; Suresh Narayanan; John Kramer; Karen Procknow; Sandeep Dutta; Jonathon Leipsic; James K Min; Troy Labounty; Ting-Yim Lee
Journal:  JACC Cardiovasc Imaging       Date:  2012-08

3.  Why is the subendocardium more vulnerable to ischemia? A new paradigm.

Authors:  Dotan Algranati; Ghassan S Kassab; Yoram Lanir
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-12-17       Impact factor: 4.733

4.  Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images.

Authors:  Brendan L Eck; Rachid Fahmi; Jacob Levi; Anas Fares; Hao Wu; Yuemeng Li; Mani Vembar; Amar Dhanantwari; Hiram G Bezerra; David L Wilson
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-29

5.  Assessment of coronary artery stenosis severity and location: quantitative analysis of transmural perfusion gradients by high-resolution MRI versus FFR.

Authors:  Amedeo Chiribiri; Gilion L T F Hautvast; Timothy Lockie; Andreas Schuster; Boris Bigalke; Luca Olivotti; Simon R Redwood; Marcel Breeuwer; Sven Plein; Eike Nagel
Journal:  JACC Cardiovasc Imaging       Date:  2013-04-10

6.  Regional heterogeneity of myocardial perfusion in healthy human myocardium: assessment with magnetic resonance perfusion imaging.

Authors:  Olaf M Muehling; Michael Jerosch-Herold; Prasad Panse; Andrey Zenovich; Betsy V Wilson; Robert F Wilson; Norbert Wilke
Journal:  J Cardiovasc Magn Reson       Date:  2004       Impact factor: 5.364

7.  Abnormal subendocardial perfusion in cardiac syndrome X detected by cardiovascular magnetic resonance imaging.

Authors:  Jonathan R Panting; Peter D Gatehouse; Guang-Zhong Yang; Frank Grothues; David N Firmin; Peter Collins; Dudley J Pennell
Journal:  N Engl J Med       Date:  2002-06-20       Impact factor: 91.245

8.  Beam hardening correction in CT myocardial perfusion measurement.

Authors:  Aaron So; Jiang Hsieh; Jian-Ying Li; Ting-Yim Lee
Journal:  Phys Med Biol       Date:  2009-04-27       Impact factor: 3.609

9.  Quantitative myocardial perfusion imaging in a porcine ischemia model using a prototype spectral detector CT system.

Authors:  Rachid Fahmi; Brendan L Eck; Jacob Levi; Anas Fares; Amar Dhanantwari; Mani Vembar; Hiram G Bezerra; David L Wilson
Journal:  Phys Med Biol       Date:  2016-03-04       Impact factor: 3.609

10.  Adenosine stress 64- and 256-row detector computed tomography angiography and perfusion imaging: a pilot study evaluating the transmural extent of perfusion abnormalities to predict atherosclerosis causing myocardial ischemia.

Authors:  Richard T George; Armin Arbab-Zadeh; Julie M Miller; Kakuya Kitagawa; Hyuk-Jae Chang; David A Bluemke; Lewis Becker; Omair Yousuf; John Texter; Albert C Lardo; João A C Lima
Journal:  Circ Cardiovasc Imaging       Date:  2009-03-31       Impact factor: 7.792

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