Journal article
Comparison of image quality and radiation dose between split-filter dual-energy images and single-energy images in single-source abdominal CT.
- Euler A Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
- Obmann MM Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
- Szucs-Farkas Z Institute of Radiology, Hospital Centre of Biel, Biel, Switzerland.
- Mileto A Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
- Zaehringer C Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
- Falkowski AL Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
- Winkel DJ Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
- Marin D Department of Radiology, Duke University Medical Center, Durham, NC, USA.
- Stieltjes B Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
- Krauss B Siemens Medical Solutions, Erlangen, Germany.
- Schindera ST Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, CH-4031, Basel, Switzerland. sschindera@aol.com.
- 2018-02-21
Published in:
- European radiology. - 2018
Automatic tube voltage selection
Single-source dual-energy CT
Spectral shaping
Split-filter dual-energy CT
Virtual monoenergetic imaging
Adult
Aged
Aged, 80 and over
Female
Humans
Image Processing, Computer-Assisted
Male
Middle Aged
Radiation Dosage
Radiography, Abdominal
Radiography, Dual-Energy Scanned Projection
Retrospective Studies
Signal-To-Noise Ratio
Tomography, X-Ray Computed
Young Adult
English
OBJECTIVES
To compare image quality and radiation dose of abdominal split-filter dual-energy CT (SF-DECT) combined with monoenergetic imaging to single-energy CT (SECT) with automatic tube voltage selection (ATVS).
METHODS
Two-hundred single-source abdominal CT scans were performed as SECT with ATVS (n = 100) and SF-DECT (n = 100). SF-DECT scans were reconstructed and subdivided into composed images (SF-CI) and monoenergetic images at 55 keV (SF-MI). Objective and subjective image quality were compared among single-energy images (SEI), SF-CI and SF-MI. CNR and FOM were separately calculated for the liver (e.g. CNRliv) and the portal vein (CNRpv). Radiation dose was compared using size-specific dose estimate (SSDE). Results of the three groups were compared using non-parametric tests.
RESULTS
Image noise of SF-CI was 18% lower compared to SEI and 48% lower compared to SF-MI (p < 0.001). Composed images yielded higher CNRliv over single-energy images (23.4 vs. 20.9; p < 0.001), whereas CNRpv was significantly lower (3.5 vs. 5.2; p < 0.001). Monoenergetic images overcame this inferiority in CNRpv and achieved similar results compared to single-energy images (5.1 vs. 5.2; p > 0.628). Subjective sharpness was equal between single-energy and monoenergetic images and diagnostic confidence was equal between single-energy and composed images. FOMliv was highest for SF-CI. FOMpv was equal for SEI and SF-MI (p = 0.78). SSDE was significant lower for SF-DECT compared to SECT (p < 0.022).
CONCLUSIONS
The combined use of split-filter dual-energy CT images provides comparable objective and subjective image quality at lower radiation dose compared to single-energy CT with ATVS.
KEY POINTS
• Split-filter dual-energy results in 18% lower noise compared to single-energy with ATVS. • Split-filter dual-energy results in 11% lower SSDE compared to single-energy with ATVS. • Spectral shaping of split-filter dual-energy leads to an increased dose-efficiency.
To compare image quality and radiation dose of abdominal split-filter dual-energy CT (SF-DECT) combined with monoenergetic imaging to single-energy CT (SECT) with automatic tube voltage selection (ATVS).
METHODS
Two-hundred single-source abdominal CT scans were performed as SECT with ATVS (n = 100) and SF-DECT (n = 100). SF-DECT scans were reconstructed and subdivided into composed images (SF-CI) and monoenergetic images at 55 keV (SF-MI). Objective and subjective image quality were compared among single-energy images (SEI), SF-CI and SF-MI. CNR and FOM were separately calculated for the liver (e.g. CNRliv) and the portal vein (CNRpv). Radiation dose was compared using size-specific dose estimate (SSDE). Results of the three groups were compared using non-parametric tests.
RESULTS
Image noise of SF-CI was 18% lower compared to SEI and 48% lower compared to SF-MI (p < 0.001). Composed images yielded higher CNRliv over single-energy images (23.4 vs. 20.9; p < 0.001), whereas CNRpv was significantly lower (3.5 vs. 5.2; p < 0.001). Monoenergetic images overcame this inferiority in CNRpv and achieved similar results compared to single-energy images (5.1 vs. 5.2; p > 0.628). Subjective sharpness was equal between single-energy and monoenergetic images and diagnostic confidence was equal between single-energy and composed images. FOMliv was highest for SF-CI. FOMpv was equal for SEI and SF-MI (p = 0.78). SSDE was significant lower for SF-DECT compared to SECT (p < 0.022).
CONCLUSIONS
The combined use of split-filter dual-energy CT images provides comparable objective and subjective image quality at lower radiation dose compared to single-energy CT with ATVS.
KEY POINTS
• Split-filter dual-energy results in 18% lower noise compared to single-energy with ATVS. • Split-filter dual-energy results in 11% lower SSDE compared to single-energy with ATVS. • Spectral shaping of split-filter dual-energy leads to an increased dose-efficiency.
- Language
-
- English
- Open access status
- closed
- Identifiers
-
- DOI 10.1007/s00330-018-5338-x
- PMID 29460070
- Persistent URL
- https://sonar.ch/global/documents/124684
Statistics
Document views: 16
File downloads: