The Impact of Different Scanning Methods and Reconstruction Algorithms on CT Image Quality

March 12, 2024 updated by: Wei Li

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: ((Wei Li[Author])
  • Phone Number: 13869190655
  • Email: lwqfsh@126.com

Study Contact Backup

Study Locations

  • China
    • Jinan Shandong
      • Shandong, Jinan Shandong, China, 250000
        • Recruiting
        • uCT960+
        • Contact:
          • ((Wei Li[Author]), Dr
          • Phone Number: 13869190655
          • Email: lwqfsh@126.com

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Abdominal CT examination

Description

Inclusion Criteria:

Abdominal CT examination

Exclusion Criteria:

pregnancy and lactation for women unstable breath holding

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
SDCT group
LDCT group
Radiation: CT Radiation Doses
Obtaining Low CT Radiation Doses by Adjusting Dose Levels

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Results of phantom research
Time Frame: up to six months
Compare the changes in spatial resolution (TTF curve) and noise (NPS curve) between different algorithms
up to six months
Results of human clinical study
Time Frame: up to six months

General information of clinical trial personnel Compare the general information of two groups of subjects, such as age, weight（kg）, height（m）, gender, and BMI (kg/m2).

Quantitative image analysis The standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of the hepatic parenchyma and paraspinal muscle were evaluated.

Qualitative image analysis Two radiologists qualitatively assessed the overall image noise and overall image quality depiction.
up to six months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Patient demographics
Time Frame: up to six months
Participant demographics: Age (year)/Gender/Body weight (kg) / Body mass index (kg/m2)
up to six months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Wei Li

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 13, 2024

Primary Completion (Estimated)

February 1, 2025

Study Completion (Estimated)

May 1, 2025

Study Registration Dates

First Submitted

November 7, 2023

First Submitted That Met QC Criteria

November 16, 2023

First Posted (Actual)

November 21, 2023

Study Record Updates

Last Update Posted (Actual)

March 15, 2024

Last Update Submitted That Met QC Criteria

March 12, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • WLi

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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