Phantom study demonstrates improved lung nodule analysis with higher CT image matrix resolution, suggesting better early cancer detection.
BACKGROUND/AIM: This phantom-based study evaluates the impact of increased computed tomography (CT) image matrix resolution on lung nodule segmentation and volumetry. MATERIALS AND METHODS: Using a SOMATOM x.ceed scanner, standardized phantom nodules of varying sizes (3-12 mm) and densities were assessed across matrix sizes (256-1,024) with both soft and sharp kernels. RESULTS: <0.001). Very low-density nodules (-800 HU) were not segmentable. CONCLUSION: Enhanced matrix resolution and optimized reconstruction and interaction methods improve the precision of CT-based lung nodule analysis, with possible implications for early lung cancer detection in CT.
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Guldimann et al. (2026) studied this question.
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