Qualitative and quantitative analysis of reduced bed position acquisition time on FDG PET image quality

Michael Ting1, Garry McDermott2, Amir Zarei1

  • 1Department of Nuclear Medicine, .

PubMed

Insights

Reducing PET-CT scan time by decreasing bed position acquisition time minimally impacts image quality, especially when using Q.Clear reconstruction. This optimization allows for increased scanning capacity without clinical detriment.

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Radiology

Background:

  • Optimizing Positron Emission Tomography-Computed Tomography (PET-CT) acquisition protocols is crucial for improving patient throughput and resource utilization.
  • Evaluating the impact of reduced scan times on image quality is essential for maintaining diagnostic accuracy.

Purpose of the Study:

  • To assess if reducing bed position acquisition time in PET-CT scans affects image quality.
  • To compare the effects of Time of Flight (TOF) and Q.Clear reconstruction algorithms on image quality with reduced acquisition times.
  • To investigate the influence of patient Body Mass Index (BMI) on image quality.

Main Methods:

  • Retrospective analysis of 30 PET-CT scans performed on a new institutional scanner.
  • Four reconstruction types were evaluated: 1 min 45 sec TOF, 2 min TOF, 1 min 45 sec Q.Clear, and 2 min Q.Clear.
  • Qualitative assessment using a 5-point visual score on Maximum Intensity Projection (MIP) images and quantitative analysis of liver Signal-to-Noise Ratio (SNR).

Main Results:

  • A statistically significant reduction in visual image quality scores was observed when decreasing bed position time from 2 min to 1 min 45 sec for both TOF (P=0.0002) and Q.Clear (P=0.02) reconstructions.
  • Liver SNR also showed a statistically significant difference with reduced acquisition time.
  • Image quality deterioration was minimized with reduced acquisition time when utilizing Q.Clear reconstruction.

Conclusions:

  • Reducing PET-CT bed position acquisition time can be achieved with minimal clinical detriment to image quality, particularly when employing Q.Clear reconstruction.
  • This protocol optimization holds potential for increasing scanning capacity without compromising diagnostic performance.
  • Further investigation into the role of patient BMI in relation to these findings may be warranted.