Radiation dose reduction in computed tomography (CT) using a new implementation of wavelet denoising in low tube current acquisitions

Tao, Yinghua; Brunner, Stephen; Tang, Jie; Speidel, Michael A.; Rowley, Howard A.; VanLysel, Michael S.; Chen, Guang-Hong

doi:10.1117/12.878362

Cited by 4 publications

(4 citation statements)

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“…In our proposed method, when the learning procedure is accomplished in an off-line training, the resulting algorithm can benefit from both low computational cost of noniterative data processing and improved performance due to the learning. More importantly, this adaptive deconvolution method can be supplemented with all existing preprocessing approaches on CT data [4][5][6][7] and improved deconvolution algorithms to compute perfusion parameters [10]. …”

Section: Resultsmentioning

confidence: 99%

“…Most state-of-the-art noise reduction approaches for low-dose CTP are based on preprocessing of CT data before applying algorithms to determine perfusion parametric maps. Numerous works have been proposed and have successfully improved the quality of CBF maps, including bilateral filtering, non-local mean, nonlinear diffusion filter, and wavelet-based methods [4][5][6][7]. However, these works do not take the convolution flow model of perfusion CT into consideration.…”

Section: Introductionmentioning

confidence: 98%

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Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients

Fang

Chen

Sanelli

2012

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)

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Functional imaging serves as an important supplement to anatomical imaging modalities such as MR and CT in modern health care. In perfusion CT (CTP), hemodynamic parameters are derived from the tracking of the first-pass of the contrast bolus entering a tissue region of interest. In practice, however, the post-processed parametric maps tend to be noisy, especially in low-dose CTP, in part due to the noisy contrast enhancement profile and oscillatory nature of results generated by current computational methods. In this paper, we propose a sparsity-based perfusion parameter deconvolution approach that consists of a non-linear processing based on sparsity prior in terms of residue function dictionaries. Our simulated results from numerical data and experiments in aneurysmal subarachnoid hemorrhage patients with clinical vasospasm show that the algorithm improves the quality and reduces the noise of the perfusion parametric maps in low-dose CTP, compared to state-of-the-art methods.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients

Fang

Chen

Sanelli

2012

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)

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“…Ever since the application of computed tomography (CT) in clinical practice, there has been a growing concern on the consequence of radiation exposure on patients (1,2). Initial efforts to decrease radiation have mainly focused on lowering the tube current and reducing scan time and range (3,4). Increasing evidence demonstrates the benefits of applying low tube voltage, while not affecting CT image quality and contrast enhancement, and/or reducing the amount of CM administered (5)(6)(7).…”

Section: Introductionmentioning

confidence: 99%

An open label, prospective, multicenter, non-interventional study of iodixanol 270 mg I/mL for use in individuals undergoing computed tomography angiography in real-world clinical practice

Lü²,

et al. 2018

Acta Radiol

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Background Concern about radiation exposure is leading to an increasing interest in low-concentration contrast medium administration. Purpose To evaluate the image quality and safety profile after administration of iodixanol 270 mg I/mL at 100-kVp tube voltage with iterative reconstruction in subjects undergoing computed tomography angiography (CTA). Material and Methods Patients who completed CTA examination using iodixanol 270 mg I/mL and 100-kVp tube voltage along with iterative reconstruction for coronary, aortic, head and neck, renal, or pulmonary arteries were included. Image quality was qualitatively and quantitatively evaluated. Incidence of adverse events (AEs) and adverse drug reactions (ADRs) within seven days and radiation dose were also analyzed. Results A total of 4513 individuals in 42 centers in China were enrolled, among which 4367 were included in efficacy analysis. The mean image quality score was 4.8 ± 0.45 across all arteries (all above 4.6) and 99.7% of the individuals' images were classified as evaluable. The CT attenuation, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) in the regions of interest (ROIs) were 431.79 ± 99.018, 18.29 ± 11.947, and 28.21 ± 19.535 HU, respectively. Of all the participants, 68 (1.5%) and 65 (1.4%) experienced AEs and ADRs, respectively. No serious AEs or AEs leading to discontinuation occurred. The average effective radiation dose was 3.13 ± 2.550 mSv. Conclusion Iodixanol 270 mg I/mL in combination with 100-kVp tube voltage and iterative reconstruction could be safely applied in CTA and yield high-quality and evaluable images with reduced radiation dose.

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“…A variety of methods have been proposed in recent years. Image processing methods such as bilateral filtering, 25,26 wavelet filtering, [27][28][29][30][31] and anisotropic diffusion, [32][33][34] are designed to reduce image noise while preserving edge information. These are straightforward to implement, however they do not correct existing image artifacts arising from low dose scanning, in particular noise streaks caused by photon starvation.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2014

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Radiation dose reduction in computed tomography (CT) using a new implementation of wavelet denoising in low tube current acquisitions

Cited by 4 publications

References 0 publications

Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients

Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients

An open label, prospective, multicenter, non-interventional study of iodixanol 270 mg I/mL for use in individuals undergoing computed tomography angiography in real-world clinical practice

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

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