Low dose dynamic CT myocardial perfusion imaging using a statistical iterative reconstruction method

Tao, Yinghua; Chen, Guang-Hong; Hacker, Timothy A.; Raval, Amish N.; Lysel, Michael S. Van; Speidel, Michael A.

doi:10.1118/1.4884023

Cited by 26 publications

(25 citation statements)

References 48 publications

(56 reference statements)

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“…One typical family is TV/TTV regularization term (Tao et al 2014, Fang et al 2015). Although the TV/TTV regularization based algorithms can achieve noticeable gains in PCT imaging, they have the drawbacks of over-smoothing homogenous regions and producing staircase artifacts.…”

Section: Methodsmentioning

confidence: 99%

“…Up to now, various advanced image processing and reconstruction algorithms with different capability for noise suppression in the case of low-mAs data acquisition have been reported (Speidel et al 2013, Ramirez-Giraldo et al 2012, Sawall et al 2012, Lauzier et al 2012, Modgil et al 2014, Lin and Ehsan et al 2014, Tao et al 2014, Bian et al 2015). For instance, Speidel et al (2013) proposed a highly constrained backprojection (HYPR) image processing method to directly reduce the noise in the MPCT image domain.…”

Section: Introductionmentioning

confidence: 99%

“…Modgil et al (2014) developed a dynamic MPCT sinogram data restoration method for successful MPCT image reconstruction using the FBP algorithm. Recently, Tao et al (2014) introduced a penalized weighted least-squares (PWLS) approach by modeling the statistics of the measurement for noise-induced artifacts reduction. Bian et al (2015) also proposed a statistical iterative reconstruction scheme by incorporating a motion adaptive sparsity prior model for acceptable dynamic MPCT image reconstruction.…”

Section: Introductionmentioning

confidence: 99%

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Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study

et al. 2016

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Dynamic myocardial perfusion computed tomography (MPCT) is a promising technique for quick diagnosis and risk stratification of coronary artery disease. However, one major drawback of dynamic MPCT imaging is the heavy radiation dose to patients due to its dynamic images acquisition protocol. In this work, to address this issue, we present a robust dynamic MPCT deconvolution algorithm via adaptive-weighted tensor total variation (AwTTV) regularization for accurate residue function estimation with low-mAs data acquisitions. For simplicity, the presented method is termed as “MPD-AwTTV”. More specifically, the gains of the AwTTV regularization are from the anisotropic edge property of the sequential MPCT images over the original tensor total variation regularization. To minimize the associative objective function we propose an efficient iterative optimization strategy with fast convergence rate under the framework of iterative shrinkage/thresholding algorithm. We validate and evaluate the presented algorithm using both digital XCAT phantom and preclinical porcine data. The preliminary experimental results have demonstrated that the presented MPD-AwTTV deconvolution algorithm can achieve remarkable gains in noise-induced artifacts suppression, edge details preservation and accurate flow-scaled residue function and MPHM estimation as compared with the other existing deconvolution algorithms in the digital phantom studies, and the similar gains can be obtained in the porcine data experiment.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study

et al. 2016

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“…Additionally, a tube current modulation technique and half-scan acquisition methods could substantially reduce radiation doses while maintaining diagnostic image quality (25). Furthermore, a statistical iterative reconstruction method implemented for dynamic CTP offers further potential for effective dose reduction (87).…”

Section: Considerations On Radiation Dosementioning

confidence: 99%

Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography

Cademartiri

Seitun

Clemente

et al. 2017

Cardiovasc. Diagn. Ther.

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During the last decade coronary computed tomography angiography (CTA) has become the preeminent noninvasive imaging modality to detect coronary artery disease (CAD) with high accuracy.However, CTA has a limited value in assessing the hemodynamic significance of a given stenosis due to a modest specificity and positive predictive value. In recent years, different CT techniques for detecting myocardial ischemia have emerged, such as CT-derived fractional flow reserve (FFR-CT), transluminal attenuation gradient (TAG), and myocardial CT perfusion (CTP) imaging. Myocardial CTP imaging can be performed with a single static scan during first pass of the contrast agent, with monoenergetic or dualenergy acquisition, or as a dynamic, time-resolved scan during stress by using coronary vasodilator agents (adenosine, dipyridamole, or regadenoson). A number of CTP techniques are available, which can assess myocardial perfusion in both a qualitative, semi-quantitative or quantitative manner. Once used primarily as research tools, these modalities are increasingly being used in routine clinical practice. All these techniques offer the substantial advantage of combining anatomical and functional evaluation of flow-limiting coronary stenosis in the same examination that would be beneficial for clinical decision-making. This review focuses on the state-of the-art and future trends of these evolving imaging modalities in the field of cardiology for the physiologic assessments of CAD.

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“…Investigations have been performed to reduce the radiation dose in DM‐PCT, including optimized DM‐PCT protocols and advanced image processing techniques . Among them, without consideration of natural heart motion between consecutive cardiac phases during DM‐PCT imaging, the highly constrained backprojection (HYPR) image processing method was studied to reduce image noise in low‐dose DM‐PCT scans .…”

Section: Introductionmentioning

confidence: 99%

Low‐dose dynamic myocardial perfusion CT imaging using a motion adaptive sparsity prior

et al. 2017

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Purpose: Dynamic myocardial perfusion computed tomography (DM-PCT) imaging offers benefits over quantitative assessment of myocardial blood flow (MBF) for diagnosis and risk stratification of coronary artery disease. However, one major drawback of DM-PCT imaging is that a high radiation level is imparted by repeated scanning. To address this issue, in this work, we developed a statistical iterative reconstruction algorithm based on the penalized weighted least-squares (PWLS) scheme by incorporating a motion adaptive sparsity prior (MASP) model to achieve high-quality DM-PCT imaging with low tube current dynamic data acquisition. For simplicity, we refer to the proposed algorithm as "PWLS-MASP''. Methods: The MASP models both the spatial and temporal structured sparsity of DM-PCT sequence images with the assumption that the differences between adjacent frames after motion correction are sparse in the gradient image domain. To validate and evaluate the effectiveness of the present PWLS-MASP algorithm thoroughly, a modified XCAT phantom and preclinical porcine DM-PCT dataset were used in the study.Results: The present PWLS-MASP algorithm can obtain high-quality DM-PCT images in both phantom and porcine cases, and outperforms the existing filtered back-projection algorithm and PWLS-based algorithms with total variation regularization (PWLS-TV) and robust principal component analysis regularization (PWLS-RPCA) in terms of noise reduction, streak artifacts mitigation, and time density curve estimation. Moreover, the PWLS-MASP algorithm can yield more accurate diagnostic hemodynamic parametric maps than the PWLS-TV and PWLS-RPCA algorithms. Conclusions: The study indicates that there is a substantial advantage in using the present PWLS-MASP algorithm for low-dose DM-PCT, and potentially in other dynamic tomography areas.

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Low dose dynamic CT myocardial perfusion imaging using a statistical iterative reconstruction method

Abstract: SIR reconstruction can reduce image noise and mitigate streaking artifacts caused by photon starvation in dynamic CT myocardial perfusion data sets acquired at low dose (low tube current), and improve perfusion map quality in comparison to FBP reconstruction at the same dose.

Cited by 26 publications

References 48 publications

Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study

Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study

Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography

Low‐dose dynamic myocardial perfusion CT imaging using a motion adaptive sparsity prior

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