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Purpose <p>The purpose of this study is to investigate whether 50% radiation dose with AI-based spectral reconstruction has equivalent or non-inferior image quality to routine dose with iterative reconstruction.</p> Methods <p>Fifteen patients were scanned at two radiation dose levels during a standard renal ablation procedure. Ablation planning images were obtained at routine dose (CTDI<sub>vol</sub> = 18.9 ± 4.7&#xa0;mGy), and probe placement images were obtained at low dose (CTDI<sub>vol</sub> = 9.9 ± 2.5&#xa0;mGy). Quantitative assessment included noise measurements and line profiles of iterative reconstruction (iDose, Philips) and AI-based spectral reconstruction (Spectral Precise Image, Philips) with respect to filtered-back-projection. Qualitative assessment included a radiologist reader study comparing routine dose images with iterative reconstruction (RD + IR) and low dose images with AI-based spectral reconstruction (LD + AI). Two radiologists rated overall image quality on a five-point Likert scale ranging from very poor (1) to excellent (5). A Wilcoxon signed-rank test was used to test for a significant difference between the reconstruction conditions.</p> Results <p>For conventional results, LD + AI was rated significantly higher than RD + IR (<i>p</i> = 0.0051). For 50&#xa0;keV MonoE and electron density results, there was not a significant difference between the LD and RD protocols. Of the results tested, the image quality of 50&#xa0;keV was rated higher than conventional and electron density results.</p> Conclusion <p>This study suggests the feasibility of reducing radiation dose with AI-based spectral reconstruction without compromising overall image quality requirements for CT-guided renal ablations. For the conventional result, readers indicated superior image quality in LD + AI relative to RD + IR result.</p>

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Feasibility of radiation dose reduction with AI-based spectral reconstruction for computed tomography

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月5日

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  • Ahmad Parvinian,
  • Rebecca Hibbert,
  • Nathan R. Huber,
  • Brian T. Welch,
  • Christopher P. Favazza

摘要

Purpose

The purpose of this study is to investigate whether 50% radiation dose with AI-based spectral reconstruction has equivalent or non-inferior image quality to routine dose with iterative reconstruction.

Methods

Fifteen patients were scanned at two radiation dose levels during a standard renal ablation procedure. Ablation planning images were obtained at routine dose (CTDIvol = 18.9 ± 4.7 mGy), and probe placement images were obtained at low dose (CTDIvol = 9.9 ± 2.5 mGy). Quantitative assessment included noise measurements and line profiles of iterative reconstruction (iDose, Philips) and AI-based spectral reconstruction (Spectral Precise Image, Philips) with respect to filtered-back-projection. Qualitative assessment included a radiologist reader study comparing routine dose images with iterative reconstruction (RD + IR) and low dose images with AI-based spectral reconstruction (LD + AI). Two radiologists rated overall image quality on a five-point Likert scale ranging from very poor (1) to excellent (5). A Wilcoxon signed-rank test was used to test for a significant difference between the reconstruction conditions.

Results

For conventional results, LD + AI was rated significantly higher than RD + IR (p = 0.0051). For 50 keV MonoE and electron density results, there was not a significant difference between the LD and RD protocols. Of the results tested, the image quality of 50 keV was rated higher than conventional and electron density results.

Conclusion

This study suggests the feasibility of reducing radiation dose with AI-based spectral reconstruction without compromising overall image quality requirements for CT-guided renal ablations. For the conventional result, readers indicated superior image quality in LD + AI relative to RD + IR result.