Dose Reduced CT Protocol Generation for Follow-up Imaging
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Solution Overview
Problem
CT scans expose patients to high levels of ionizing radiation, particularly with repeated exposure, necessitating effective dose reduction methods without compromising image quality or diagnostic accuracy.
Innovation Solution
A computer-implemented method generates preview images for different dose reduction factors using machine learning algorithms, allowing users to select an optimal dose-reduced CT protocol for follow-up studies, balancing radiation dose and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If dose reduction factors are applied to lower radiation dose in follow-up CT scans, then radiation exposure to patients is reduced, but image quality and diagnostic accuracy deteriorate
Solution Approach 1:
The system performs preliminary actions by generating synthetic preview images at different dose levels before the actual follow-up scan. This allows the radiologist to evaluate image quality at reduced doses in advance and select the optimal dose reduction factor, thereby preventing excessive radiation exposure while maintaining diagnostic quality.
Solution Approach 2:
The system creates synthetic copy images that simulate what the follow-up scan would look like at different dose reduction levels. These synthetic images are generated by applying dose reduction factors to the primary scan images, allowing evaluation without actual radiation exposure to the patient.
2Manufacturing precision
If standard CT protocols are used for follow-up scans, then diagnostic image quality is maintained, but radiation dose to patients increases
Solution Approach 1:
The system makes the CT protocol dynamic and adaptive rather than static. Based on the evaluation of synthetic preview images, the system dynamically selects the optimal dose reduction factor and adjusts the follow-up scan protocol accordingly, optimizing the balance between image quality and radiation dose for each individual case.
Solution Approach 2:
The system changes key parameters of the CT protocol, specifically the dose reduction factor, based on synthetic image evaluation. By adjusting this parameter and others like mA and kVp settings, the system optimizes radiation dose while maintaining diagnostic quality for follow-up scans.
3Reliability
If multiple dose reduction factors are evaluated, then optimal dose selection is improved, but system complexity and processing time increase
Solution Approach 1:
The system segments the evaluation process by testing a limited set of discrete dose reduction factors (e.g., 0.5, 0.7, 0.8, 0.9) rather than continuously varying parameters. This segmentation makes the complex optimization problem more manageable while still achieving reliable optimal dose selection.
Solution Approach 2:
The system performs self-service by automatically generating synthetic preview images, evaluating them, and selecting the optimal dose reduction factor without requiring manual intervention. This automation handles the complexity internally while presenting a simple interface to the user.
Data Source
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AI summary
Computer-implemented method for providing a dose reduced CT protocol for a follow-up study of a patient, comprising: - receiving (100) patient information (D) of a primary study, including at least one primary CT protocol and/or at least one primary medical image of an examination area; - receiving (200) a follow-up information (Df) comprising at least one initial follow-up CT protocol; - receiving (300) a plurality of dose reduction factors (di), wherein the dose reduction factors (di) define a dose reduction for a follow-up study with a CT protocol (Pi) compared to a follow-up study with the primary CT protocol; - generating (400) at least one preview image Im(di)based on the patient information (Dp) for each dose reduction factor (di) and/or each CT protocol (Pi), wherein the preview image (Im(di)) is a synthetic medical image simulating a medical image of the examination area based on the CT protocol (Pi) and the dose reduction factor (di); - providing (500) the generated preview images (Im(di)) to a user ; - receiving a user selection of a generated preview image (Im(di) ) ; - providing (600) the dose reduced CT protocol (Pi) for the follow-up study, wherein the dose reduced CT protocol (Pi) is the CT protocol (Pi) related to the selected preview image (Im(di)).