Ignite Creation Date:
2024-05-06 @ 7:48 PM
Last Modification Date:
2024-10-26 @ 3:14 PM
Study NCT ID:
NCT06142539
Status:
RECRUITING
Last Update Posted:
2024-03-15
First Post:
2023-11-07
Brief Title:
The Impact of Different Scanning Methods and Reconstruction Algorithms on CT Image Quality
Sponsor:
Wei Li
Organization:
Qianfoshan Hospital
Study Overview
Official Title:
The Impact of Different Scanning Methods and Reconstruction Algorithms on CT Image Quality
Status:
RECRUITING
Status Verified Date:
2024-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Purpose To evaluate the image quality of deep learning-based image reconstruction DLIR algorithm in unenhanced abdominal low-dose CT LDCT
Methods CT images of a phantom were reconstructed with Hybrid iterative reconstruction and deep learning image reconstruction DLIR The noise power spectrum NPS and task transfer function TTF were measured Two patient groups were included in this study consecutive patients who underwent unenhanced abdominal standard-dose CT reconstructed with hybrid iterative reconstruction SDCT group and consecutive patients who underwent unenhanced abdominal LDCT reconstructed of HIR and DLIR LDCT group The CT values standard deviation SD signal-to-noise ratio SNR and contrast-to-noise ratio CNR of the hepatic parenchyma and paraspinal muscle and abdominal subcutaneous fat were evaluated Radiologists assessed the subjective image quality and lesion diagnostic confidence using a 5-point Likert scale Quantitative and qualitative parameters were compared between SDCT and LDCT groups
Methods CT images of a phantom were reconstructed with Hybrid iterative reconstruction and deep learning image reconstruction DLIR The noise power spectrum NPS and task transfer function TTF were measured Two patient groups were included in this study consecutive patients who underwent unenhanced abdominal standard-dose CT reconstructed with hybrid iterative reconstruction SDCT group and consecutive patients who underwent unenhanced abdominal LDCT reconstructed of HIR and DLIR LDCT group The CT values standard deviation SD signal-to-noise ratio SNR and contrast-to-noise ratio CNR of the hepatic parenchyma and paraspinal muscle and abdominal subcutaneous fat were evaluated Radiologists assessed the subjective image quality and lesion diagnostic confidence using a 5-point Likert scale Quantitative and qualitative parameters were compared between SDCT and LDCT groups
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
False
Is an FDA AA801 Violation?:
None