OBJECTIVES: To evaluate an automated attenuation-based kV-selection in computed tomography of the chest in respect to radiation dose and image quality, compared to a standard 120 kV protocol. MATERIALS AND METHODS: 104 patients were examined using a 128-slice scanner. Fifty examinations (58 ± 15 years, study group) were performed using the automated adaption of tube potential (100-140 kV), based on the attenuation profile of the scout scan, 54 examinations (62 ± 14 years, control group) with fixed 120 kV. Estimated CT dose index (CTDI) of the software-proposed setting was compared with a 120 kV protocol. After the scan CTDI volume (CTDIvol) and dose length product (DLP) were recorded. Image quality was assessed by region of interest (ROI) measurements, subjective image quality by two observers with a 4-point scale (3--excellent, 0--not diagnostic). RESULTS: The algorithm selected 100 kV in 78% and 120 kV in 22%. Overall CTDIvol reduction was 26.6% (34% in 100 kV) overall DLP reduction was 22.8% (32.1% in 100 kV) (all p<0.001). Subjective image quality was excellent in both groups. CONCLUSION: The attenuation based kV-selection algorithm enables relevant dose reduction (~27%) in chest-CT while keeping image quality parameters at high levels.
OBJECTIVES: To evaluate an automated attenuation-based kV-selection in computed tomography of the chest in respect to radiation dose and image quality, compared to a standard 120 kV protocol. MATERIALS AND METHODS: 104 patients were examined using a 128-slice scanner. Fifty examinations (58 ± 15 years, study group) were performed using the automated adaption of tube potential (100-140 kV), based on the attenuation profile of the scout scan, 54 examinations (62 ± 14 years, control group) with fixed 120 kV. Estimated CT dose index (CTDI) of the software-proposed setting was compared with a 120 kV protocol. After the scan CTDI volume (CTDIvol) and dose length product (DLP) were recorded. Image quality was assessed by region of interest (ROI) measurements, subjective image quality by two observers with a 4-point scale (3--excellent, 0--not diagnostic). RESULTS: The algorithm selected 100 kV in 78% and 120 kV in 22%. Overall CTDIvol reduction was 26.6% (34% in 100 kV) overall DLP reduction was 22.8% (32.1% in 100 kV) (all p<0.001). Subjective image quality was excellent in both groups. CONCLUSION: The attenuation based kV-selection algorithm enables relevant dose reduction (~27%) in chest-CT while keeping image quality parameters at high levels.
Authors: A Eller; M Wiesmüller; W Wüst; R Heiss; M Kopp; M Saake; M Brand; M Uder; M M May Journal: AJNR Am J Neuroradiol Date: 2019-07-11 Impact factor: 3.825
Authors: Matthias S May; Manuel R Kramer; Achim Eller; Wolfgang Wuest; Michael Scharf; Michael Brand; Marc Saake; Bernhard Schmidt; Michael Uder; Michael M Lell Journal: Neuroradiology Date: 2014-06-25 Impact factor: 2.804
Authors: Rahul D Renapurkar; Andrew Primak; Joseph Azok; Jason Lempel; Yasmeen Tandon; Jennifer Bullen; Frank Dong; Wadih Karim; Ruffin Graham Journal: Eur Radiol Date: 2017-01-13 Impact factor: 5.315
Authors: Aleksander W Krazinski; Felix G Meinel; U Joseph Schoepf; Justin R Silverman; Christian Canstein; Carlo N De Cecco; Lucas L Geyer Journal: Eur Radiol Date: 2014-07-24 Impact factor: 5.315