A Method for Evaluating the Quality of CT Scans in a Screening Environment

Principal Investigator

Name
Daniel Truhn

Degrees
Priv.-Doz. Dr. med. Dipl.-Phys.

Institution
University Hospital Aachen

Position Title
Research Group Leader

Email
dtruhn@ukaachen.de

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-1242

Initial CDAS Request Approval
Apr 29, 2024

Title
A Method for Evaluating the Quality of CT Scans in a Screening Environment

Summary
Our project will focus on the fully automated measurement and evaluation of quality in CT screening scans.
To achieve this, we look at two parts that reflect the quality:
First, we want to measure the amount of overscanning. To do this, we segment the lung in 3D and measure how much of the scan contains lung and how much doesn't.
Second, we segment the lumen of the aorta. Since the blood inside should be homogeneous, we assume that the observed deviation reflects the noise in the image.
Based on this approach, we want to measure the differences and further refine and improve our approach.

Aims

-Measuring and evaluating overscanning and noise in a lung cancer screening setting
Improving our approach by focusing on low-dose CT scans

Collaborators

Daniel Truhn, Department of Diagnostic and Interventional Radiology of the University Hospital Aachen (Germany)
Patrick Wienholt, Department of Diagnostic and Interventional Radiology of the University Hospital Aachen (Germany)