Prospective Randomized Trial on Radiation Dose Estimates of CT Angiography Applying Iterative Image Reconstruction

Deseive, Simon; Chen, Marcus Y; Korosoglou, Grigorios; Leipsic, Jonathon; Martuscelli, Eugenio; Carrascosa, Patrícia; Mirsadraee, Saeed; White, Charles S.; Hadamitzky, Martin; Martinoff, Stefan; Menges, Anna-Leonie; Bischoff, Bernhard; Maßberg, Steffen; Hausleiter, Jörg

doi:10.1016/j.jcmg.2015.02.024

Cited by 55 publications

(23 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FIRST showed 28% dose reduction compared to AIDR-3D (23). The PROTECTION V study, a large, prospective, multi-center, multi-vendor, randomized-control trial of 400 patients found that image quality of coronary CTA performed at 30% reduced tube current and reconstructed with multiple IR algorithms (ASIR, SAFIRE, iDose 4 , AIDR-3D) matched standard tube current coronary CTA reconstructed with FBP (24). Improved image quality for low-dose (submillisievert) coronary CTA was observed with a modelbased algorithm, IMR, compared to standard FBP (25).…”

Section: Decreased Radiation Dosementioning

confidence: 99%

The role of advanced reconstruction algorithms in cardiac CT

Halliburton

Tanabe

Partovi

et al. 2017

Cardiovasc. Diagn. Ther.

View full text Add to dashboard Cite

Advanced non-linear iterative reconstruction (IR) algorithms have been introduced by all vendors as an alternative to traditional, linear filtered back projection (FBP) reconstruction ( Table 1). FBP is a simple reconstruction technique that requires relatively little computational processing, but is associated with higher noise and poor contrast resolution. Noise can be reduced in FBP only by increasing the radiation dose. IR algorithms operate by initially generating an expected dataset based on modeling, which is then compared to the actual, acquired dataset. Noise is detected and removed by using the difference between the anticipated and actual datasets using a process of iterative steps. All commercial IR algorithms employ statistics-model based de-noising in the image domain, raw (projection) data domain, or both. Statistics model-based algorithms operate by assigning a lower value to data with higher statistical uncertainty (noise). Some IR algorithms, described as partial model-based, additionally employ models of scanner geometry to estimate the acquired data. Full model-based IR algorithms, employ complete system models that include simulation of X-ray interaction with the imaged object. Statistics-model based algorithms can be utilized to either improve image quality at the same radiation dose or maintain image quality at a lower radiation dose compared to FBP. However, combining dose management with image quality improvements simultaneously is limited. Model-based IR can provide image quality improvements at lower doses. Model-based algorithms are also more likely to reduce other artifacts in addition to noise as well as improve spatial resolution.Although IR algorithms have been utilized in nuclear medicine for several decades, widespread use in CT is recent and facilitated by advances in computational processing. Cardiovascular CT imagers were early adopters of IR algorithms because most cardiovascular clinical targets are robust to changes in noise. Rigorous validation has come from both retrospective and prospective studies demonstrating non-inferiority of coronary CT data acquired at lower doses and reconstructed with IR techniques compared to standard dose data reconstructed with FBP. Other clinical studies have validated the diagnostic utility of low-dose coronary CT angiograms (CTA) reconstructed with IR algorithms using invasive coronary angiography (ICA) as a standard of reference (1-3).

show abstract

Section: Decreased Radiation Dosementioning

confidence: 99%

The role of advanced reconstruction algorithms in cardiac CT

Halliburton

Tanabe

Partovi

et al. 2017

Cardiovasc. Diagn. Ther.

View full text Add to dashboard Cite

show abstract

“…This image reconstruction algorithm allows a significant improvement in image quality, thus enabling the achievement of similar image quality at reduced radiation doses. In this way a stress-rest or rest-stress myocardial CTP can be done with less than 9 mSv, achieving similar radiation doses than a SPECT scan (58,59).…”

Section: Iterative Reconstruction (Ir)mentioning

confidence: 99%

Myocardial CT perfusion imaging for ischemia detection

Carrascosa

Capuñay

2017

Cardiovasc. Diagn. Ther.

Self Cite

View full text Add to dashboard Cite

“…56,57 Recent technical developments including new detector material and integrated circuit detector, low kV (70-80 KV) protocol, new iterative reconstruction and motioncorrection algorithms represent yet another milestone for substantial dose reduction, while the CT image quality may be further improved. [56][57][58][59] Diagnostic performance and prognostic value of cardiac CT Cardiac CT has emerged as the mainstay diagnostic tool for non-invasive anatomical assessment of coronary atherosclerosis.…”

Section: Cardiac Ctmentioning

confidence: 99%

Chest pain: coronary CT in the ER

Maffei¹,

Seitun²,

Guaricci³

et al. 2016

BJR

View full text Add to dashboard Cite

Cardiac CT has developed into a robust clinical tool during the past 15 years. Of the fields in which the potential of cardiac CT has raised more interest is chest pain in acute settings. In fact, the possibility to exclude with high reliability obstructive coronary artery disease (CAD) in patients at low-to-intermediate risk is of great interest both from the clinical standpoint and from the management standpoint. Several other modalities, with or without imaging, have been used during the past decades in the settings of new onset chest pain or in acute chest pain for both diagnostic and prognostic assessment of CAD. Each one has advantages and disadvantages. Most imaging modalities also focus on inducible ischaemia to guide referral to invasive coronary angiography. The advent of cardiac CT has introduced a new practice diagnostic paradigm, being the most accurate non-invasive method for identification and exclusion of CAD. Furthermore, the detection of subclinical CAD and plaque imaging offer the opportunity to improve risk stratification. Moreover, recent advances of the latest generation CT scanners allow combining both anatomical and functional imaging by stress myocardial perfusion. The role of cardiac CT in acute settings is already important and will become progressively more important in the coming years.

show abstract

Prospective Randomized Trial on Radiation Dose Estimates of CT Angiography Applying Iterative Image Reconstruction

Cited by 55 publications

References 25 publications

The role of advanced reconstruction algorithms in cardiac CT

The role of advanced reconstruction algorithms in cardiac CT

Myocardial CT perfusion imaging for ischemia detection

Chest pain: coronary CT in the ER

Contact Info

Product

Resources

About