Does software optimization influence the radiologists' perception in low dose paediatric pelvic examinations?

H. Precht*, D. Waaler, C. B. Outzen, J. B. Brock Thorsen, T. Steen, Michel Bach Hellfritzsch, H. Aagesen, A. K. Holst, P. Le, S. Lindequist, L. Rasmussen, A. Tingberg

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Purpose: To investigate whether software optimisation can improve an observers’ perception of image quality in low dose paediatric pelvic examinations. Methods: Twenty-five consecutive patients (3–7 years old) were referred for a pelvic digital radiography (DR) examination. They were prospectively enrolled in the study over a 3-month period. Images were taken at 80 kV and 2–4 mAs depending on pelvic thickness (9–15 cm). A small focal spot, 130 cm SID: 10 cm air gap and 1 mm Al and 0.2 mm Cu additional filtration were also utilised. Images were acquired on a Canon DR detector and optimised using five different combinations of the multi-frequency processing software (Canon DR system version NE, Version 7.1 with SPECTRA) to comply with the ALARA principle. Image quality was blindly evaluated using the subjective Visual Grading Analysis (VGA) by five experienced musculoskeletal radiologists, including the evaluation of six anatomical image quality criteria (scored from 1 to 5). Results: Consistently, the VGA results indicated that by using software optimised parameters, image quality was suitable for diagnosis in 48–71% of all images. Based on a VGC analysis all software optimised images did have significant better image quality then the one with just the clinical settings. Noise reduction was the software setting which influenced the image quality the most, area under the curve (AUC) of 0.8172 95%CI 0.7953–0.8375. Conclusion: Software optimisation improve the radiologists' perception of image quality and should thus be thoroughly considered within clinical practise. Noise reduction is the software parameter which has the greatest influence.

OriginalsprogEngelsk
TidsskriftRadiography
Vol/bind25
Udgave nummer2
Sider (fra-til)143-147
ISSN1078-8174
DOI
StatusUdgivet - 1. maj 2019

Fingeraftryk

Pediatrics
Radiographic Image Enhancement
Noise
Radiologists
Area Under Curve

Citer dette

Precht, H., Waaler, D., Outzen, C. B., Brock Thorsen, J. B., Steen, T., Hellfritzsch, M. B., ... Tingberg, A. (2019). Does software optimization influence the radiologists' perception in low dose paediatric pelvic examinations? Radiography, 25(2), 143-147. https://doi.org/10.1016/j.radi.2018.12.013
Precht, H. ; Waaler, D. ; Outzen, C. B. ; Brock Thorsen, J. B. ; Steen, T. ; Hellfritzsch, Michel Bach ; Aagesen, H. ; Holst, A. K. ; Le, P. ; Lindequist, S. ; Rasmussen, L. ; Tingberg, A. / Does software optimization influence the radiologists' perception in low dose paediatric pelvic examinations?. I: Radiography. 2019 ; Bind 25, Nr. 2. s. 143-147.
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title = "Does software optimization influence the radiologists' perception in low dose paediatric pelvic examinations?",
abstract = "Purpose: To investigate whether software optimisation can improve an observers’ perception of image quality in low dose paediatric pelvic examinations. Methods: Twenty-five consecutive patients (3–7 years old) were referred for a pelvic digital radiography (DR) examination. They were prospectively enrolled in the study over a 3-month period. Images were taken at 80 kV and 2–4 mAs depending on pelvic thickness (9–15 cm). A small focal spot, 130 cm SID: 10 cm air gap and 1 mm Al and 0.2 mm Cu additional filtration were also utilised. Images were acquired on a Canon DR detector and optimised using five different combinations of the multi-frequency processing software (Canon DR system version NE, Version 7.1 with SPECTRA) to comply with the ALARA principle. Image quality was blindly evaluated using the subjective Visual Grading Analysis (VGA) by five experienced musculoskeletal radiologists, including the evaluation of six anatomical image quality criteria (scored from 1 to 5). Results: Consistently, the VGA results indicated that by using software optimised parameters, image quality was suitable for diagnosis in 48–71{\%} of all images. Based on a VGC analysis all software optimised images did have significant better image quality then the one with just the clinical settings. Noise reduction was the software setting which influenced the image quality the most, area under the curve (AUC) of 0.8172 95{\%}CI 0.7953–0.8375. Conclusion: Software optimisation improve the radiologists' perception of image quality and should thus be thoroughly considered within clinical practise. Noise reduction is the software parameter which has the greatest influence.",
keywords = "Image quality, Paediatric femur, Software optimisation, Visual Grading Analysis",
author = "H. Precht and D. Waaler and Outzen, {C. B.} and {Brock Thorsen}, {J. B.} and T. Steen and Hellfritzsch, {Michel Bach} and H. Aagesen and Holst, {A. K.} and P. Le and S. Lindequist and L. Rasmussen and A. Tingberg",
year = "2019",
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doi = "10.1016/j.radi.2018.12.013",
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Precht, H, Waaler, D, Outzen, CB, Brock Thorsen, JB, Steen, T, Hellfritzsch, MB, Aagesen, H, Holst, AK, Le, P, Lindequist, S, Rasmussen, L & Tingberg, A 2019, 'Does software optimization influence the radiologists' perception in low dose paediatric pelvic examinations?', Radiography, bind 25, nr. 2, s. 143-147. https://doi.org/10.1016/j.radi.2018.12.013

Does software optimization influence the radiologists' perception in low dose paediatric pelvic examinations? / Precht, H.; Waaler, D.; Outzen, C. B.; Brock Thorsen, J. B.; Steen, T.; Hellfritzsch, Michel Bach; Aagesen, H.; Holst, A. K.; Le, P.; Lindequist, S.; Rasmussen, L.; Tingberg, A.

I: Radiography, Bind 25, Nr. 2, 01.05.2019, s. 143-147.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Does software optimization influence the radiologists' perception in low dose paediatric pelvic examinations?

AU - Precht, H.

AU - Waaler, D.

AU - Outzen, C. B.

AU - Brock Thorsen, J. B.

AU - Steen, T.

AU - Hellfritzsch, Michel Bach

AU - Aagesen, H.

AU - Holst, A. K.

AU - Le, P.

AU - Lindequist, S.

AU - Rasmussen, L.

AU - Tingberg, A.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - Purpose: To investigate whether software optimisation can improve an observers’ perception of image quality in low dose paediatric pelvic examinations. Methods: Twenty-five consecutive patients (3–7 years old) were referred for a pelvic digital radiography (DR) examination. They were prospectively enrolled in the study over a 3-month period. Images were taken at 80 kV and 2–4 mAs depending on pelvic thickness (9–15 cm). A small focal spot, 130 cm SID: 10 cm air gap and 1 mm Al and 0.2 mm Cu additional filtration were also utilised. Images were acquired on a Canon DR detector and optimised using five different combinations of the multi-frequency processing software (Canon DR system version NE, Version 7.1 with SPECTRA) to comply with the ALARA principle. Image quality was blindly evaluated using the subjective Visual Grading Analysis (VGA) by five experienced musculoskeletal radiologists, including the evaluation of six anatomical image quality criteria (scored from 1 to 5). Results: Consistently, the VGA results indicated that by using software optimised parameters, image quality was suitable for diagnosis in 48–71% of all images. Based on a VGC analysis all software optimised images did have significant better image quality then the one with just the clinical settings. Noise reduction was the software setting which influenced the image quality the most, area under the curve (AUC) of 0.8172 95%CI 0.7953–0.8375. Conclusion: Software optimisation improve the radiologists' perception of image quality and should thus be thoroughly considered within clinical practise. Noise reduction is the software parameter which has the greatest influence.

AB - Purpose: To investigate whether software optimisation can improve an observers’ perception of image quality in low dose paediatric pelvic examinations. Methods: Twenty-five consecutive patients (3–7 years old) were referred for a pelvic digital radiography (DR) examination. They were prospectively enrolled in the study over a 3-month period. Images were taken at 80 kV and 2–4 mAs depending on pelvic thickness (9–15 cm). A small focal spot, 130 cm SID: 10 cm air gap and 1 mm Al and 0.2 mm Cu additional filtration were also utilised. Images were acquired on a Canon DR detector and optimised using five different combinations of the multi-frequency processing software (Canon DR system version NE, Version 7.1 with SPECTRA) to comply with the ALARA principle. Image quality was blindly evaluated using the subjective Visual Grading Analysis (VGA) by five experienced musculoskeletal radiologists, including the evaluation of six anatomical image quality criteria (scored from 1 to 5). Results: Consistently, the VGA results indicated that by using software optimised parameters, image quality was suitable for diagnosis in 48–71% of all images. Based on a VGC analysis all software optimised images did have significant better image quality then the one with just the clinical settings. Noise reduction was the software setting which influenced the image quality the most, area under the curve (AUC) of 0.8172 95%CI 0.7953–0.8375. Conclusion: Software optimisation improve the radiologists' perception of image quality and should thus be thoroughly considered within clinical practise. Noise reduction is the software parameter which has the greatest influence.

KW - Image quality

KW - Paediatric femur

KW - Software optimisation

KW - Visual Grading Analysis

U2 - 10.1016/j.radi.2018.12.013

DO - 10.1016/j.radi.2018.12.013

M3 - Journal article

VL - 25

SP - 143

EP - 147

JO - Radiography

JF - Radiography

SN - 1078-8174

IS - 2

ER -