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

Levi, Jacob; Wu, Hao; Eck, Brendan L.; Fahmi, Rachid; Vembar, Mani; Dhanantwar, Amar; Fares, Anas; Bezerra, Hiram G.; Wilson, David L.

doi:10.1002/mp.14599

Cited by 4 publications

(5 citation statements)

References 43 publications

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“…Several types of artifacts can influence the evaluation, including beam hardening and motion artifacts 36 . Automated beam-hardening correction algorithms could be beneficial in reducing the influence of such artifacts on CTP analysis 37 . Finally, the evaluation of iodine distribution maps is not standardized and therefore makes the assessment user dependent.…”

Section: Functional Vessel-specific Ct Imaging At the Myocardial Leve...mentioning

confidence: 99%

Comprehensive Computed Tomography Imaging of Vessel-specific and Lesion-specific Myocardial Ischemia

Patel

Emrich

Schoepf³

et al. 2021

Journal of Thoracic Imaging

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Coronary computed tomographic angiography (CCTA) has emerged as a fast and robust tool with high sensitivity and excellent negative predictive value for the evaluation of coronary artery disease, but is unable to estimate the hemodynamic significance of a lesion. Advances in computed tomography (CT)-based diagnostic techniques, for example, CT-derived fractional flow reserve and CT perfusion, have helped transform CCTA primarily from an anatomic assessment tool to a technique that is able to provide both anatomic and functional information for a stenosis. With the results of the ISCHEMIA trial published in 2019, these advanced techniques can elevate CCTA into the role of a better gatekeeper for decision-making and can help guide referral for invasive management. In this article, we review the principles, limitations, diagnostic performance, and clinical utility of these 2 functional CT-based techniques in the evaluation of vessel-specific and lesion-specific ischemia.

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Section: Functional Vessel-specific Ct Imaging At the Myocardial Leve...mentioning

confidence: 99%

Comprehensive Computed Tomography Imaging of Vessel-specific and Lesion-specific Myocardial Ischemia

Patel

Emrich

Schoepf³

et al. 2021

Journal of Thoracic Imaging

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“…Forward‐projecting the bone‐emphasized and bin images yields the basis sinograms, which are multiplied element‐wise to produce several artificial sinograms. These approximate higher order terms, which are the reason for beam‐hardening artifacts 35–37 . The artificial and basis sinograms are back‐projected and linearly combined such that artifacts are minimized.…”

Section: Methodsmentioning

confidence: 99%

“…These approximate higher order terms, which are the reason for beam-hardening artifacts. [35][36][37] The artificial and basis sinograms are back-projected and linearly combined such that artifacts are minimized. To find the linear coefficients, a Nelder-Mead algorithm minimizes a threshold-based cost function.…”

Section: A Ideamentioning

confidence: 99%

“…35,36 This correction can also be performed with more than two basis images. 37 In this work, we propose a metal artifact reduction algorithm that combines EBHC, pseudomonochromatic images, and FSNMAR.…”

Section: Introduction 1a Metal Artifact Reductionmentioning

confidence: 99%

“…Another method of approximating beam hardening artifacts is the empirical beam hardening correction (EBHC), where the original and a bone image are combined in the projection domain 35,36 . This correction can also be performed with more 95 than two basis images 37 . In this work, we propose a metal artifact reduction algorithm that combines EBHC, pseudo-monochromatic images and FSNMAR.…”

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Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT

et al. 2021

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Purpose: Metal artifacts can drastically reduce the diagnostic value of CT images. Even the state-of-the-art algorithms cannot remove them completely. Photon counting CT inherently provides spectral information, similar to dual energy CT. Many applications, such as material decomposition, are not possible when metal artifacts are present. Our aim is to develop a prior-based metal artifact reduction specifically for 20 photon counting CT that can correct each bin image individually or their combinations. Methods: Photon counting CT sorts incoming photons into several energy bins, producing bin and threshold images containing spectral information. We use this spectral information to obtain a better prior image for the state-of-the-art metal artifact reduc-25 tion algorithm FSNMAR. First, we apply a non-linear transformation to the bin images to obtain bone-emphasized images. Subsequently, we forward-project the bin images and bone-emphasized images and multiply the resulting sinograms with each other element-wise to mimic beam hardening effects. These sinograms are reconstructed and linearly combined to produce an artifact-reduced image. The coefficients of this linear 30 combination are automatically determined by minimizing a threshold-based cost function in the image domain. After a thresholding we obtain the prior image for FSNMAR, which is applied to the individual bin images and the lowest threshold image. We test our photon counting normalized metal artifact reduction (PCNMAR) on forensic CT data and compare it to conventional FSNMAR, where the prior is generated via linear 35 sinogram inpainting. For numerical analysis, we compute both the standard deviation in an ROI with metal artifacts and the CNR of soft tissue and fat. Results: PCNMAR can effectively reduce metal artifacts without sacrificing the overall image quality. Compared to FSNMAR, our method produces fewer secondary Accepted ArticleThis article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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Reproducibility of a single-volume dynamic CT myocardial blood flow measurement technique: validation in a swine model

Hadjiabdolhamid,

Zhao,

Hubbard

et al. 2024

Eur Radiol Exp

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Background We prospectively assessed the reproducibility of a novel low-dose single-volume dynamic computed tomography (CT) myocardial blood flow measurement technique. Methods Thirty-four pairs of measurements were made under rest and stress conditions in 13 swine (54.3 ± 12.3 kg). One or two acquisition pairs were acquired in each animal with a 10-min delay between each pair. Contrast (370 mgI/mL; 0.5 mL/kg) and a diluted contrast/saline chaser (0.5 mL/kg; 30:70 contrast/saline) were injected peripherally at 5 mL/s, followed by bolus tracking and acquisition of a single volume scan (100 kVp; 200 mA) with a 320-slice CT scanner. Bolus tracking and single volume scan data were used to derive perfusion in mL/min/g using a first-pass analysis model; the coronary perfusion territories of the left anterior descending (LAD), left circumflex (LCx), and right coronary artery (RCA) were automatically assigned using a previously validated minimum-cost path technique. The reproducibility of CT myocardial perfusion measurement within the LAD, LCx, RCA, and the whole myocardium was assessed via regression analysis. The average CT dose index (CTDI) of perfusion measurement was recorded. Results The repeated first (Pmyo1) and second (Pmyo2) single-volume CT perfusion measurements were related by Pmyo2 = 1.01Pmyo1 − 0.03(ρ = 0.96; RMSE = 0.08 mL/min/g; RMSE = 0.07 mL/min/g) for the whole myocardium, and by Preg2 = 0.86Preg1 + 0.13(ρ = 0.87; RMSE = 0.31 mL/min/g; RMSE = 0.29 mL/min/g) for the LAD, LCx, and RCA perfusion territories. The average CTDI of the single-volume CT perfusion measurement was 10.5 mGy. Conclusion The single-volume CT blood flow measurement technique provides reproducible low-dose myocardial perfusion measurement using only bolus tracking data and a single whole-heart volume scan. Relevance statement The single-volume CT blood flow measurement technique is a noninvasive tool that reproducibly measures myocardial perfusion and provides coronary CT angiograms, allowing for simultaneous anatomic-physiologic assessment of myocardial ischemia. Key Points A low-dose single-volume dynamic CT myocardial blood flow measurement technique is reproducible. Motion misregistration artifacts are eliminated using a single-volume CT perfusion technique. This technique enables combined anatomic-physiologic assessment of coronary artery disease. Graphical Abstract

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

Cited by 4 publications

References 43 publications

Comprehensive Computed Tomography Imaging of Vessel-specific and Lesion-specific Myocardial Ischemia

Comprehensive Computed Tomography Imaging of Vessel-specific and Lesion-specific Myocardial Ischemia

Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT

Reproducibility of a single-volume dynamic CT myocardial blood flow measurement technique: validation in a swine model

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