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Improved Liver Lesion Conspicuity With Iterative Reconstruction in Computed Tomography Imaging
Kristin Jensen1, Hilde Kjernlie Andersen2, Anders Tingberg3
1The Intervention Centre, Rikshospitalet, Oslo, Norway; Institute of Physics, University of Oslo, Oslo, Norway.
Current Problems in Diagnostic Radiology
|January 22, 2016
Summary
Iterative reconstruction on CT scanners can reduce radiation dose while maintaining image quality. The effectiveness of dose reduction varies by the specific iterative reconstruction technique and CT scanner model used.
Area of Science:
- Medical Imaging
- Radiology
- Image Reconstruction
Background:
- Iterative reconstruction (IR) techniques in computed tomographic (CT) scanning are known to reduce image noise and alter texture.
- Optimizing CT protocols for radiation dose reduction is a significant concern in diagnostic imaging.
Purpose of the Study:
- To evaluate the potential for radiation dose reduction and enhanced lesion conspicuity in liver imaging using different IR algorithms.
- To compare the performance of IR algorithms against traditional filtered back projection (FBP) at varying dose levels.
Main Methods:
- An anthropomorphic liver phantom was scanned using two GE CT scanner models (CT750 HD, Lightspeed VCT) at 5, 10, and 15mGy.
- Images were reconstructed using Filtered Back Projection (FBP), Adaptive Statistical Iterative Reconstruction (ASIR), and Veo algorithms.
- Five interpreters performed Receiver Operating Characteristic (ROC) analysis, with standard deviation and contrast-to-noise ratio (CNR) measured.
Main Results:
- Veo reconstruction yielded superior Area Under the Curve (AUC) values compared to ASIR and FBP across dose levels.
- For the CT750 HD, IR at 10mGy achieved AUCs comparable or superior to FBP at 15mGy.
- This dose reduction benefit was not consistently observed with the Lightspeed VCT model.
Conclusions:
- Radiation dose reduction using IR techniques is feasible but is dependent on the specific algorithm and CT scanner model.
- The choice of IR algorithm and CT hardware significantly influences the achievable balance between image quality and radiation dose.
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