Literature DB >> 26943749

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

Rachid Fahmi1, Brendan L Eck, Jacob Levi, Anas Fares, Amar Dhanantwari, Mani Vembar, Hiram G Bezerra, David L Wilson.   

Abstract

We optimized and evaluated dynamic myocardial CT perfusion (CTP) imaging on a prototype spectral detector CT (SDCT) scanner. Simultaneous acquisition of energy sensitive projections on the SDCT system enabled projection-based material decomposition, which typically performs better than image-based decomposition required by some other system designs. In addition to virtual monoenergetic, or keV images, the SDCT provided conventional (kVp) images, allowing us to compare and contrast results. Physical phantom measurements demonstrated linearity of keV images, a requirement for quantitative perfusion. Comparisons of kVp to keV images demonstrated very significant reductions in tell-tale beam hardening (BH) artifacts in both phantom and pig images. In phantom images, consideration of iodine contrast to noise ratio and small residual BH artifacts suggested optimum processing at 70 keV. The processing pipeline for dynamic CTP measurements included 4D image registration, spatio-temporal noise filtering, and model-independent singular value decomposition deconvolution, automatically regularized using the L-curve criterion. In normal pig CTP, 70 keV perfusion estimates were homogeneous throughout the myocardium. At 120 kVp, flow was reduced by more than 20% on the BH-hypo-enhanced myocardium, a range that might falsely indicate actionable ischemia, considering the 0.8 threshold for actionable FFR. With partial occlusion of the left anterior descending (LAD) artery (FFR < 0.8), perfusion defects at 70 keV were correctly identified in the LAD territory. At 120 kVp, BH affected the size and flow in the ischemic area; e.g. with FFR ≈ 0.65, the anterior-to-lateral flow ratio was 0.29 ± 0.01, over-estimating stenosis severity as compared to 0.42 ± 0.01 (p < 0.05) at 70 keV. On the non-ischemic inferior wall (not a LAD territory), the flow ratio was 0.50 ± 0.04 falsely indicating an actionable ischemic condition in a healthy territory. This ratio was 1.00 ± 0.08 at 70 keV. Results suggest that projection-based keV imaging with the SDCT system and proper processing could enable useful myocardial CTP, much improved over conventional CT.

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Year:  2016        PMID: 26943749     DOI: 10.1088/0031-9155/61/6/2407

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  13 in total

1.  Spectral detector CT for cardiovascular applications.

Authors:  Prabhakar Rajiah; Suhny Abbara; Sandra Simon Halliburton
Journal:  Diagn Interv Radiol       Date:  2017 May-Jun       Impact factor: 2.630

2.  The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT.

Authors:  Brendan L Eck; Raymond F Muzic; Jacob Levi; Hao Wu; Rachid Fahmi; Yuemeng Li; Anas Fares; Mani Vembar; Amar Dhanantwari; Hiram G Bezerra; David L Wilson
Journal:  Phys Med Biol       Date:  2018-09-13       Impact factor: 3.609

3.  [Redundancy information-induced image reconstruction for low-dose myocardial perfusion computed tomography].

Authors:  Jiahui Lin; Zhaoying Bian; Jianhua Ma; Jing Huang; Xi Tao; Dong Zeng; Hong Guo
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-01-30

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.  Calibration Free Beam Hardening Correction for Cardiac CT Perfusion Imaging.

Authors:  Jacob Levi; Rachid Fahmi; Brendan L Eck; Anas Fares; Hao Wu; Mani Vembar; Amar Dhanantwari; Hiram G Bezerra; David L Wilson
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-21

6.  SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification.

Authors:  Hao Wu; Brendan L Eck; Jacob Levi; Anas Fares; Yuemeng Li; Di Wen; Hiram G Bezerra; David L Wilson
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03-12

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

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

8.  SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging.

Authors:  Hao Wu; Brendan L Eck; Jacob Levi; Anas Fares; Yuemeng Li; Di Wen; Hiram G Bezerra; Raymond F Muzic; David L Wilson
Journal:  J Med Imaging (Bellingham)       Date:  2019-11-06

9.  Left Atrium Wall-mapping Application for Wall Thickness Visualisation.

Authors:  Jing-Yi Sun; Chun-Ho Yun; Greta S P Mok; Yi-Hwa Liu; Chung-Lieh Hung; Tung-Hsin Wu; Mohamad Amer Alaiti; Brendan L Eck; Anas Fares; Hiram G Bezerra
Journal:  Sci Rep       Date:  2018-03-08       Impact factor: 4.379

10.  Comparison of automated beam hardening correction (ABHC) algorithms for myocardial perfusion imaging using computed tomography.

Authors:  Jacob Levi; Hao Wu; Brendan L Eck; Rachid Fahmi; Mani Vembar; Amar Dhanantwar; Anas Fares; Hiram G Bezerra; David L Wilson
Journal:  Med Phys       Date:  2020-12-07       Impact factor: 4.506

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