CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis

Fuchs, Tobias A.; Fiechter, Michael; Gebhard, Cathérine; Stehli, Julia; Ghadri, Jelena R.; Kazakauskaitė, Eglė; Herzog, Bernhard A.; Husmann, Lars; Gaemperli, Oliver; Kaufmann, Philipp A.

doi:10.1007/s10554-012-0134-1

Cited by 47 publications

(16 citation statements)

References 23 publications

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“…[24][25][26] Furthermore, 2 studies evaluated the effect of low-dose CCTA reconstructed with HIR on quantitative coronary plaque composition. 27,28 Both studies did not find any differences between FBP and HIR; however, MIR was not evaluated and quantification results were not correlated to Agatston scores. Furthermore, to our knowledge none of the previously published studies used iterative reconstruction algorithms to evaluate whether this novel technique improves CAC quantification on CCTA.…”

Section: Discussionmentioning

confidence: 93%

Assessment of Coronary Artery Calcium on Low-Dose Coronary Computed Tomography Angiography With Iterative Reconstruction

Braber

Willemink

Bohté³

et al. 2016

Journal of Computer Assisted Tomography

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Section: Discussionmentioning

confidence: 93%

Assessment of Coronary Artery Calcium on Low-Dose Coronary Computed Tomography Angiography With Iterative Reconstruction

Braber

Willemink

Bohté³

et al. 2016

Journal of Computer Assisted Tomography

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“…The main role of IR at cardiac imaging is to improve subjective image quality compared with FBP by decreasing image noise and reducing effective radiation dose while maintaining objective image quality (67,(76)(77)(78)(79)(80)(81)(82). Both ASIR and AIDR have proved capable of improving subjective and objective image quality with simulated half-dose acquisition and actual dose reduction.…”

Section: Parameters That Indirectly Influence Ct Radiation Dosementioning

confidence: 99%

“…Because IR has been shown to decrease noise as well as Agatston and volumetric calcium scores compared with FBP, caution is required when applying IR in sequences devoted to calcium score assessment and risk stratification (85). On the other hand, no effect on analysis of plaque composition and plaque burden quantification has been shown (78,86).…”

Section: Parameters That Indirectly Influence Ct Radiation Dosementioning

confidence: 99%

Dose Reduction in Cardiothoracic CT: Review of Currently Available Methods

Litmanovich¹,

Tack²,

Shahrzad³

et al. 2014

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Radiation exposure from computed tomography (CT) has received much attention lately in the medical literature and the media, given the relatively high radiation dose that characterizes a CT examination. Although there are a variety of possible strategies for reducing radiation exposure from CT in an individual patient, optimal CT image acquisition requires that the radiologist understand new scanner technology and how to implement the most effective means of dose reduction while maintaining image quality. The authors describe a practical approach to dose reduction in cardiothoracic radiology, discussing CT radiation dose metrics (eg, CT dose index, dose-length product, effective diameter, and size-specific dose estimate) as well as CT scanner parameters that directly or indirectly influence radiation dose (eg, scan length, x-ray tube output, tube current modulation, pitch, image reconstruction techniques [including iterative reconstruction], and noise reduction). These variables are discussed in terms of their relative importance to image quality and the implications of parametric changes for image quality and diagnostic content, and practical recommendations are made for their immediate implementation in the clinical setting. Taken together, the principles of physics and key parameters involved in reducing radiation dose while maintaining image quality can serve as a "survival guide" for a diagnostic radiology practice.

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“…20, 40, 60, 80 and 100 %. The iterative reconstruction algorithm ASIR has been described in detail previously [15][16][17]. In brief, ASIR reconstructs pictures by comparing measured projection with a synthesized projection using both statistical fluctuation calculations and system optics.…”

Section: Ccta Acquisition and Reconstructionmentioning

confidence: 99%

First in vivo head-to-head comparison of high-definition versus standard-definition stent imaging with 64-slice computed tomography

Fuchs

Stehli

Fiechter

et al. 2013

Int J Cardiovasc Imaging

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The aim of this study was to compare image quality characteristics from 64-slice high definition (HDCT) versus 64-slice standard definition CT (SDCT) for coronary stent imaging. In twenty-five stents of 14 patients, undergoing contrast-enhanced CCTA both on 64-slice SDCT (LightSpeedVCT, GE Healthcare) and HDCT (Discovery HD750, GE Healthcare), radiation dose, contrast, noise and stent characteristics were assessed. Two blinded observers graded stent image quality (score 1 = no, 2 = mild, 3 = moderate, and 4 = severe artefacts). All scans were reconstructed with increasing contributions of adaptive statistical iterative reconstruction (ASIR) blending (0,20, 40, 60, 80 and 100 %). Image quality was significantly superior in HDCT versus SDCT (score 1.7 ± 0.5 vs. 2.7 ± 0.7; p < 0.05). Image noise was significantly higher in HDCT compared to SDCT irrespective of ASIR contributions (p < 0.05). Addition of 40 % ASIR or more reduced image noise significantly in both HDCT and SDCT. In HDCT in-stent luminal attenuation was significantly lower and mean measured in-stent luminal diameter was significantly larger (1.2 ± 0.4 mm vs. 0.8 ± 0.4 mm; p < 0.05) compared to SDCT. Radiation dose from HDCT was comparable to SDCT (1.8 ± 0.7 mSv vs. 1.7 ± 0.7 mSv; p = ns). Use of HDCT for coronary stent imaging reduces partial volume artefacts from stents yielding improved image quality versus SDCT at a comparable radiation dose. Abstract The aim of this study was to compare image quality characteristics from 64-slice high definition (HDCT) versus 64-slice standard definition CT (SDCT) for coronary stent imaging. In twenty-five stents of 14 patients, undergoing contrast-enhanced CCTA both on 64-slice SDCT (LightSpeedVCT, GE Healthcare) and HDCT (Discovery HD750, GE Healthcare), radiation dose, contrast, noise and stent characteristics were assessed. Two blinded observers graded stent image quality (score 1 = no, 2 = mild, 3 = moderate, and 4 = severe artefacts). All scans were reconstructed with increasing contributions of adaptive statistical iterative reconstruction (ASIR) blending (0,20, 40, 60, 80 and 100 %). Image quality was significantly superior in HDCT versus SDCT (score 1.7 ± 0.5 vs. 2.7 ± 0.7; p \ 0.05). Image noise was significantly higher in HDCT compared to SDCT irrespective of ASIR contributions (p \ 0.05). Addition of 40 % ASIR or more reduced image noise significantly in both HDCT and SDCT. In HDCT in-stent luminal attenuation was significantly lower and mean measured in-stent luminal diameter was significantly larger (1.2 ± 0.4 mm vs. 0.8 ± 0.4 mm; p \ 0.05) compared to SDCT. Radiation dose from HDCT was comparable to SDCT (1.8 ± 0.7 mSv vs. 1.7 ± 0.7 mSv; p = ns). Use of HDCT for coronary stent imaging reduces partial volume artefacts from stents yielding improved image quality versus SDCT at a comparable radiation dose.

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CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis

Cited by 47 publications

References 23 publications

Assessment of Coronary Artery Calcium on Low-Dose Coronary Computed Tomography Angiography With Iterative Reconstruction

Assessment of Coronary Artery Calcium on Low-Dose Coronary Computed Tomography Angiography With Iterative Reconstruction

Dose Reduction in Cardiothoracic CT: Review of Currently Available Methods

First in vivo head-to-head comparison of high-definition versus standard-definition stent imaging with 64-slice computed tomography

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