Literature DB >> 21730872

Automated attenuation-based tube potential selection for thoracoabdominal computed tomography angiography: improved dose effectiveness.

Anna Winklehner1, Robert Goetti, Stephan Baumueller, Christoph Karlo, Bernhard Schmidt, Rainer Raupach, Thomas Flohr, Thomas Frauenfelder, Hatem Alkadhi.   

Abstract

PURPOSE: To introduce a novel algorithm of automated attenuation-based tube potential selection and to assess its impact on image quality and radiation dose of body computed tomography angiography (CTA).
MATERIALS AND METHODS: In all, 40 patients (mean age 71±11.8 years, body mass index (BMI) 25.7±3.8 kg/m², range 18.8-33.8 kg/m²) underwent 64-slice thoracoabdominal CTA (contrast material: 80 mL, 5 mL/s) using an automated tube potential selection algorithm (CAREkV), which optimizes tube-potential (70-140 kV) and tube-current (138.8±18.6 effective mAs, range 106-177 mAs) based on the attenuation profile of the topogram and on the diagnostic task. Image quality was semiquantitatively assessed by 2 blinded and independent readers (scores 1: excellent to 5: nondiagnostic). Attenuation and noise were measured by another 2 blinded and independent readers. Contrast-to-noise ratio was calculated. The CT dose index (CTDIvol) was recorded and compared with the estimated CTDIvol of a standard 120 kV protocol without using the algorithm in each patient. Selected tube potentials were correlated with BMI and attenuation of the topogram.
RESULTS: Diagnostic image quality was obtained in all patients (excellent: 14; good: 21; moderate: 5; interreader agreement: κ=0.78). Mean attenuation, noise, and contrast-to-noise ratio were 260.8±63.5 Hounsfield units, 15.5±3.3 Hounsfield units, and 14±4.2, respectively, with good to excellent agreement between readers (r=0.50-0.99, P<0.01 each). Automated attenuation-based tube potential selection resulted in a kV-reduction from 120 to 100 kV in 23 patients and to 80 kV in 1 patient, whereas tube potential increased to 140 kV in 1 patient. Automatically selected tube potential showed a significant correlation with both BMI (r=0.427, P<0.05) and attenuation of the topogram (r=0.831, P<0.001). CTDIvol (7.95±2.6 mGy) was significantly lower when using the algorithm compared with the standard 120 kV protocol (10.59±1.8 mGy, P<0.001), corresponding to an overall dose reduction of 25.1%.
CONCLUSION: Automated attenuation-based tube potential selection based on the attenuation profile of the topogram is feasible, provides a diagnostic image quality of body CTA, and reduces overall radiation dose by 25% as compared with a standard protocol with 120 kV.

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Year:  2011        PMID: 21730872     DOI: 10.1097/RLI.0b013e3182266448

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  43 in total

1.  Low kilovoltage CT of the neck with 70 kVp: comparison with a standard protocol.

Authors:  R Gnannt; A Winklehner; R Goetti; B Schmidt; S Kollias; H Alkadhi
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-02       Impact factor: 3.825

2.  Low-dose CT of the lung: potential value of iterative reconstructions.

Authors:  Stephan Baumueller; Anna Winklehner; Christoph Karlo; Robert Goetti; Thomas Flohr; Erich W Russi; Thomas Frauenfelder; Hatem Alkadhi
Journal:  Eur Radiol       Date:  2012-06-15       Impact factor: 5.315

3.  Impact of an advanced image-based monoenergetic reconstruction algorithm on coronary stent visualization using third generation dual-source dual-energy CT: a phantom study.

Authors:  Stefanie Mangold; Paola M Cannaó; U Joseph Schoepf; Julian L Wichmann; Christian Canstein; Stephen R Fuller; Giuseppe Muscogiuri; Akos Varga-Szemes; Konstantin Nikolaou; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2015-09-15       Impact factor: 5.315

4.  Image quality and dose optimisation for infant CT using a paediatric phantom.

Authors:  Jack W Lambert; Andrew S Phelps; Jesse L Courtier; Robert G Gould; John D MacKenzie
Journal:  Eur Radiol       Date:  2015-08-26       Impact factor: 5.315

5.  Application of intelligent optimal kV scanning technology (CARE kV) in dual-source computed tomography (DSCT) coronary angiography.

Authors:  Jun Zhang; Shaolei Kang; Dan Han; Xiaojie Xie; Yaming Deng
Journal:  Int J Clin Exp Med       Date:  2015-10-15

6.  Automated tube voltage selection for radiation dose and contrast medium reduction at coronary CT angiography using 3(rd) generation dual-source CT.

Authors:  Stefanie Mangold; Julian L Wichmann; U Joseph Schoepf; Zachary B Poole; Christian Canstein; Akos Varga-Szemes; Damiano Caruso; Fabian Bamberg; Konstantin Nikolaou; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2016-02-04       Impact factor: 5.315

7.  Combining automated attenuation-based tube voltage selection and iterative reconstruction: a liver phantom study.

Authors:  Daniela B Husarik; Sebastian T Schindera; Fabian Morsbach; Natalie Chuck; Burkhardt Seifert; Zsolt Szucs-Farkas; Hatem Alkadhi
Journal:  Eur Radiol       Date:  2013-10-24       Impact factor: 5.315

8.  Optimizing radiation dose by using advanced modelled iterative reconstruction in high-pitch coronary CT angiography.

Authors:  Sonja Gordic; Lotus Desbiolles; Martin Sedlmair; Robert Manka; André Plass; Bernhard Schmidt; Daniela B Husarik; Francesco Maisano; Simon Wildermuth; Hatem Alkadhi; Sebastian Leschka
Journal:  Eur Radiol       Date:  2015-06-03       Impact factor: 5.315

9.  Automated attenuation-based tube voltage selection for body CTA: Performance evaluation of 192-slice dual-source CT.

Authors:  Anna Winklehner; Sonja Gordic; Eliane Lauk; Thomas Frauenfelder; Sebastian Leschka; Hatem Alkadhi; Daniela B Husarik
Journal:  Eur Radiol       Date:  2015-02-19       Impact factor: 5.315

10.  Image quality and radiation dose of low tube voltage 3rd generation dual-source coronary CT angiography in obese patients: a phantom study.

Authors:  Felix G Meinel; Christian Canstein; U Joseph Schoepf; Martin Sedlmaier; Bernhard Schmidt; Brett S Harris; Thomas G Flohr; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2014-05-10       Impact factor: 5.315

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