The Experts below are selected from a list of 69471 Experts worldwide ranked by ideXlab platform

M Lell - One of the best experts on this subject based on the ideXlab platform.

  • attenuation based automatic kilovolt kv selection in computed tomography of the chest effects on radiation exposure and Image quality
    European Journal of Radiology, 2013
    Co-Authors: Achim Eller, Wolfgang Wuest, Michael Scharf, Michael Brand, Stephan Achenbach, Michael Uder, M Lell
    Abstract:

    Abstract 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 120kV 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 (100–140kV), based on the attenuation profile of the scout scan, 54 examinations (62±14 years, control group) with fixed 120kV. Estimated CT dose index (CTDI) of the software-proposed setting was compared with a 120kV 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 100kV in 78% and 120kV in 22%. Overall CTDIvol reduction was 26.6% (34% in 100kV) overall DLP reduction was 22.8% (32.1% in 100kV) (all p Conclusion The attenuation based kV-selection algorithm enables relevant dose reduction (∼27%) in chest-CT while keeping Image quality parameters at high levels.

  • attenuation based automatic kilovolt kv selection in computed tomography of the chest effects on radiation exposure and Image quality
    European Journal of Radiology, 2013
    Co-Authors: Achim Eller, Wolfgang Wuest, Michael Scharf, Michael Brand, Stephan Achenbach, Michael Uder, M Lell
    Abstract:

    Abstract 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 120kV 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 (100–140kV), based on the attenuation profile of the scout scan, 54 examinations (62±14 years, control group) with fixed 120kV. Estimated CT dose index (CTDI) of the software-proposed setting was compared with a 120kV 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 100kV in 78% and 120kV in 22%. Overall CTDIvol reduction was 26.6% (34% in 100kV) overall DLP reduction was 22.8% (32.1% in 100kV) (all p Conclusion The attenuation based kV-selection algorithm enables relevant dose reduction (∼27%) in chest-CT while keeping Image quality parameters at high levels.

Samta Thacker - One of the best experts on this subject based on the ideXlab platform.

  • a computer simulation study comparing lesion detection accuracy with digital mammography breast tomosynthesis and cone beam ct breast imaging
    Medical Physics, 2006
    Co-Authors: Xing Gong, Stephen J Glick, Bob Liu, Aruna A Vedula, Samta Thacker
    Abstract:

    Although conventional mammography is currently the best modality to detect early breast cancer, it is limited in that the Recorded Image represents the superposition of a three-dimensional (3D) object onto a 2D plane. Recently, two promising approaches for 3D volumetric breast imaging have been proposed, breast tomosynthesis (BT) and CT breast imaging (CTBI). To investigate possible improvements in lesion detection accuracy with either breast tomosynthesis or CT breast imaging as compared to digital mammography (DM), a computer simulation study was conducted using simulated lesions embedded into a structured 3D breast model. The computer simulation realistically modeled x-ray transport through a breast model, as well as the signal and noise propagation through a CsI based flat-panel Imager. Polyenergetic x-ray spectra of Mo/Mo 28 kVp for digital mammography, Mo/Rh 28 kVp for BT, and W/Ce 50 kVp for CTBI were modeled. For the CTBI simulation, the intensity of the x-ray spectra for each projection view was determined so as to provide a total average glandular dose of 4 mGy, which is approximately equivalent to that given in conventional two-view screening mammography. The same total dose was modeled for both the DM and BT simulations. Irregular lesions were simulated by using a stochastic growth algorithm providing lesions with an effective diameter of 5 mm. Breast tissue was simulated by generating an ensemble of backgrounds with a power law spectrum, with the composition of 50% fibroglandular and 50% adipose tissue. To evaluate lesion detection accuracy, a receiver operating characteristic (ROC) study was performed with five observers reading an ensemble of Images for each case. The average area under the ROC curves (Az) was 0.76 for DM, 0.93 for BT, and 0.94 for CTBI. Results indicated that for the same dose, a 5 mm lesion embedded in a structured breast phantom was detected by the two volumetric breast imaging systems, BT and CTBI, with statistically significant higher confidence than with planar digital mammography, while the difference in lesion detection between BT and CTBI was not statistically significant.

  • a computer simulation study comparing lesion detection accuracy with digital mammography breast tomosynthesis and cone beam ct breast imaging
    Medical Physics, 2006
    Co-Authors: Xing Gong, Stephen J Glick, Bob Liu, Aruna A Vedula, Samta Thacker
    Abstract:

    Although conventional mammography is currently the best modality to detect early breast cancer, it is limited in that the Recorded Image represents the superposition of a three-dimensional (3D) object onto a 2D plane. Recently, two promising approaches for 3D volumetric breast imaging have been proposed, breast tomosynthesis (BT) and CT breast imaging (CTBI). To investigate possible improvements in lesion detection accuracy with either breast tomosynthesis or CT breast imaging as compared to digital mammography (DM), a computer simulation study was conducted using simulated lesions embedded into a structured 3D breast model. The computer simulation realistically modeled x-ray transport through a breast model, as well as the signal and noise propagation through a CsI based flat-panel Imager. Polyenergetic x-ray spectra of Mo/Mo 28 kVp for digital mammography, Mo/Rh 28 kVp for BT, and W/Ce 50 kVp for CTBI were modeled. For the CTBI simulation, the intensity of the x-ray spectra for each projection view was determined so as to provide a total average glandular dose of 4 mGy, which is approximately equivalent to that given in conventional two-view screening mammography. The same total dose was modeled for both the DM and BT simulations. Irregular lesions were simulated by using a stochasticmore » growth algorithm providing lesions with an effective diameter of 5 mm. Breast tissue was simulated by generating an ensemble of backgrounds with a power law spectrum, with the composition of 50% fibroglandular and 50% adipose tissue. To evaluate lesion detection accuracy, a receiver operating characteristic (ROC) study was performed with five observers reading an ensemble of Images for each case. The average area under the ROC curves (A{sub z}) was 0.76 for DM, 0.93 for BT, and 0.94 for CTBI. Results indicated that for the same dose, a 5 mm lesion embedded in a structured breast phantom was detected by the two volumetric breast imaging systems, BT and CTBI, with statistically significant higher confidence than with planar digital mammography, while the difference in lesion detection between BT and CTBI was not statistically significant.« less

Achim Eller - One of the best experts on this subject based on the ideXlab platform.

  • attenuation based automatic kilovolt kv selection in computed tomography of the chest effects on radiation exposure and Image quality
    European Journal of Radiology, 2013
    Co-Authors: Achim Eller, Wolfgang Wuest, Michael Scharf, Michael Brand, Stephan Achenbach, Michael Uder, M Lell
    Abstract:

    Abstract 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 120kV 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 (100–140kV), based on the attenuation profile of the scout scan, 54 examinations (62±14 years, control group) with fixed 120kV. Estimated CT dose index (CTDI) of the software-proposed setting was compared with a 120kV 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 100kV in 78% and 120kV in 22%. Overall CTDIvol reduction was 26.6% (34% in 100kV) overall DLP reduction was 22.8% (32.1% in 100kV) (all p Conclusion The attenuation based kV-selection algorithm enables relevant dose reduction (∼27%) in chest-CT while keeping Image quality parameters at high levels.

  • attenuation based automatic kilovolt kv selection in computed tomography of the chest effects on radiation exposure and Image quality
    European Journal of Radiology, 2013
    Co-Authors: Achim Eller, Wolfgang Wuest, Michael Scharf, Michael Brand, Stephan Achenbach, Michael Uder, M Lell
    Abstract:

    Abstract 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 120kV 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 (100–140kV), based on the attenuation profile of the scout scan, 54 examinations (62±14 years, control group) with fixed 120kV. Estimated CT dose index (CTDI) of the software-proposed setting was compared with a 120kV 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 100kV in 78% and 120kV in 22%. Overall CTDIvol reduction was 26.6% (34% in 100kV) overall DLP reduction was 22.8% (32.1% in 100kV) (all p Conclusion The attenuation based kV-selection algorithm enables relevant dose reduction (∼27%) in chest-CT while keeping Image quality parameters at high levels.

Xing Gong - One of the best experts on this subject based on the ideXlab platform.

  • a computer simulation study comparing lesion detection accuracy with digital mammography breast tomosynthesis and cone beam ct breast imaging
    Medical Physics, 2006
    Co-Authors: Xing Gong, Stephen J Glick, Bob Liu, Aruna A Vedula, Samta Thacker
    Abstract:

    Although conventional mammography is currently the best modality to detect early breast cancer, it is limited in that the Recorded Image represents the superposition of a three-dimensional (3D) object onto a 2D plane. Recently, two promising approaches for 3D volumetric breast imaging have been proposed, breast tomosynthesis (BT) and CT breast imaging (CTBI). To investigate possible improvements in lesion detection accuracy with either breast tomosynthesis or CT breast imaging as compared to digital mammography (DM), a computer simulation study was conducted using simulated lesions embedded into a structured 3D breast model. The computer simulation realistically modeled x-ray transport through a breast model, as well as the signal and noise propagation through a CsI based flat-panel Imager. Polyenergetic x-ray spectra of Mo/Mo 28 kVp for digital mammography, Mo/Rh 28 kVp for BT, and W/Ce 50 kVp for CTBI were modeled. For the CTBI simulation, the intensity of the x-ray spectra for each projection view was determined so as to provide a total average glandular dose of 4 mGy, which is approximately equivalent to that given in conventional two-view screening mammography. The same total dose was modeled for both the DM and BT simulations. Irregular lesions were simulated by using a stochastic growth algorithm providing lesions with an effective diameter of 5 mm. Breast tissue was simulated by generating an ensemble of backgrounds with a power law spectrum, with the composition of 50% fibroglandular and 50% adipose tissue. To evaluate lesion detection accuracy, a receiver operating characteristic (ROC) study was performed with five observers reading an ensemble of Images for each case. The average area under the ROC curves (Az) was 0.76 for DM, 0.93 for BT, and 0.94 for CTBI. Results indicated that for the same dose, a 5 mm lesion embedded in a structured breast phantom was detected by the two volumetric breast imaging systems, BT and CTBI, with statistically significant higher confidence than with planar digital mammography, while the difference in lesion detection between BT and CTBI was not statistically significant.

  • a computer simulation study comparing lesion detection accuracy with digital mammography breast tomosynthesis and cone beam ct breast imaging
    Medical Physics, 2006
    Co-Authors: Xing Gong, Stephen J Glick, Bob Liu, Aruna A Vedula, Samta Thacker
    Abstract:

    Although conventional mammography is currently the best modality to detect early breast cancer, it is limited in that the Recorded Image represents the superposition of a three-dimensional (3D) object onto a 2D plane. Recently, two promising approaches for 3D volumetric breast imaging have been proposed, breast tomosynthesis (BT) and CT breast imaging (CTBI). To investigate possible improvements in lesion detection accuracy with either breast tomosynthesis or CT breast imaging as compared to digital mammography (DM), a computer simulation study was conducted using simulated lesions embedded into a structured 3D breast model. The computer simulation realistically modeled x-ray transport through a breast model, as well as the signal and noise propagation through a CsI based flat-panel Imager. Polyenergetic x-ray spectra of Mo/Mo 28 kVp for digital mammography, Mo/Rh 28 kVp for BT, and W/Ce 50 kVp for CTBI were modeled. For the CTBI simulation, the intensity of the x-ray spectra for each projection view was determined so as to provide a total average glandular dose of 4 mGy, which is approximately equivalent to that given in conventional two-view screening mammography. The same total dose was modeled for both the DM and BT simulations. Irregular lesions were simulated by using a stochasticmore » growth algorithm providing lesions with an effective diameter of 5 mm. Breast tissue was simulated by generating an ensemble of backgrounds with a power law spectrum, with the composition of 50% fibroglandular and 50% adipose tissue. To evaluate lesion detection accuracy, a receiver operating characteristic (ROC) study was performed with five observers reading an ensemble of Images for each case. The average area under the ROC curves (A{sub z}) was 0.76 for DM, 0.93 for BT, and 0.94 for CTBI. Results indicated that for the same dose, a 5 mm lesion embedded in a structured breast phantom was detected by the two volumetric breast imaging systems, BT and CTBI, with statistically significant higher confidence than with planar digital mammography, while the difference in lesion detection between BT and CTBI was not statistically significant.« less

Michael Scharf - One of the best experts on this subject based on the ideXlab platform.

  • attenuation based automatic kilovolt kv selection in computed tomography of the chest effects on radiation exposure and Image quality
    European Journal of Radiology, 2013
    Co-Authors: Achim Eller, Wolfgang Wuest, Michael Scharf, Michael Brand, Stephan Achenbach, Michael Uder, M Lell
    Abstract:

    Abstract 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 120kV 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 (100–140kV), based on the attenuation profile of the scout scan, 54 examinations (62±14 years, control group) with fixed 120kV. Estimated CT dose index (CTDI) of the software-proposed setting was compared with a 120kV 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 100kV in 78% and 120kV in 22%. Overall CTDIvol reduction was 26.6% (34% in 100kV) overall DLP reduction was 22.8% (32.1% in 100kV) (all p Conclusion The attenuation based kV-selection algorithm enables relevant dose reduction (∼27%) in chest-CT while keeping Image quality parameters at high levels.

  • attenuation based automatic kilovolt kv selection in computed tomography of the chest effects on radiation exposure and Image quality
    European Journal of Radiology, 2013
    Co-Authors: Achim Eller, Wolfgang Wuest, Michael Scharf, Michael Brand, Stephan Achenbach, Michael Uder, M Lell
    Abstract:

    Abstract 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 120kV 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 (100–140kV), based on the attenuation profile of the scout scan, 54 examinations (62±14 years, control group) with fixed 120kV. Estimated CT dose index (CTDI) of the software-proposed setting was compared with a 120kV 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 100kV in 78% and 120kV in 22%. Overall CTDIvol reduction was 26.6% (34% in 100kV) overall DLP reduction was 22.8% (32.1% in 100kV) (all p Conclusion The attenuation based kV-selection algorithm enables relevant dose reduction (∼27%) in chest-CT while keeping Image quality parameters at high levels.