Purpose <p>To identify suitable regularization factor <i>β</i> and attenuation correction (AC) method for Q.Clear reconstruction in brain [<sup>18</sup>F]FDG PET/MR imaging of patients with epilepsy.</p> Methods <p>We retrospectively collected 27 PET/MR brain images from patients with temporal lobe epilepsy. PET images were reconstructed using both ordered subset-expectation maximization and Q.Clear reconstruction (<i>β</i> from 50 to 600) with three AC methods: Atlas-based AC (Atlas-AC), Partial Head-based AC (PH-AC), and Zero Echo Time-based AC (ZTE-AC). Image quality was assessed using lesion-to-background (LBR) ratio, normalized standard deviation (NSD) ratio, SUV<sub>max</sub>, and SUV<sub>mean</sub>.</p> Results <p>Q.Clear reconstruction with <i>β</i> values of 50 to 600 significantly increased LBR and decreased NSD compared to OSEM. <i>β</i> value of 300 served as a practical operating point for the three AC methods. ZTE-AC had the largest LBR and lower NSD values, PH-AC method had the lowest NSD and relatively high LBR, while Atlas-AC showed moderate performance. Comparisons of SUV<sub>max</sub> and SUV<sub>mean</sub> between Q.Clear (<i>β</i> = 300) and OSEM across all AC methods suggest that <i>β</i> = 300 improves lesion contrast and reduces image noise without compromising SUV value.</p> Conclusions <p>Q.Clear reconstruction can improve lesion contrast and reduce noise compared to OSEM. ZTE-AC yielded the highest lesion contrast and LBR among three AC methods, PH-AC resulted in the lowest background noise, and Atlas-AC showed balanced but suboptimal performance. These findings offer practical guidance in selecting the suitable <i>β</i> value and AC method for optimized brain PET/MR imaging in patients with epilepsy.</p>

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Evaluation of regularization factor and attenuation correction method of Q.Clear reconstruction for brain PET/MR in epileptic patients

  • Xiaolong Niu,
  • Jieqin Lv,
  • Hao Sun,
  • Zhifeng Chen,
  • Xiang Liang,
  • Zanting Ye,
  • Youliang Wu,
  • Xiaojing Zhang,
  • Lijun Lu,
  • Pengcheng Ran

摘要

Purpose

To identify suitable regularization factor β and attenuation correction (AC) method for Q.Clear reconstruction in brain [18F]FDG PET/MR imaging of patients with epilepsy.

Methods

We retrospectively collected 27 PET/MR brain images from patients with temporal lobe epilepsy. PET images were reconstructed using both ordered subset-expectation maximization and Q.Clear reconstruction (β from 50 to 600) with three AC methods: Atlas-based AC (Atlas-AC), Partial Head-based AC (PH-AC), and Zero Echo Time-based AC (ZTE-AC). Image quality was assessed using lesion-to-background (LBR) ratio, normalized standard deviation (NSD) ratio, SUVmax, and SUVmean.

Results

Q.Clear reconstruction with β values of 50 to 600 significantly increased LBR and decreased NSD compared to OSEM. β value of 300 served as a practical operating point for the three AC methods. ZTE-AC had the largest LBR and lower NSD values, PH-AC method had the lowest NSD and relatively high LBR, while Atlas-AC showed moderate performance. Comparisons of SUVmax and SUVmean between Q.Clear (β = 300) and OSEM across all AC methods suggest that β = 300 improves lesion contrast and reduces image noise without compromising SUV value.

Conclusions

Q.Clear reconstruction can improve lesion contrast and reduce noise compared to OSEM. ZTE-AC yielded the highest lesion contrast and LBR among three AC methods, PH-AC resulted in the lowest background noise, and Atlas-AC showed balanced but suboptimal performance. These findings offer practical guidance in selecting the suitable β value and AC method for optimized brain PET/MR imaging in patients with epilepsy.