Optimization of PET/CT image quality using the GE 'Sharp IR' point-spread function reconstruction algorithm
| Autor: | Sarah Heard, Nicholas J. Vennart, Ewa Nowosinska, Nicholas J. Bird, Heok Cheow, John R. Buscombe |
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| Rok vydání: | 2017 |
| Předmět: |
Point spread function
Male Quality Control Scanner medicine.medical_specialty Image quality Image processing Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Positron Emission Tomography Computed Tomography medicine Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Physics PET-CT Phantoms Imaging Reconstruction algorithm General Medicine Filter (signal processing) Middle Aged 030220 oncology & carcinogenesis Female Radiology Algorithm Algorithms |
| Zdroj: | Nuclear medicine communications. 38(6) |
| ISSN: | 1473-5628 |
| Popis: | Objective The objective of this study was to quantify any improvement with the GE 'Sharp IR' point-spread function (PSF) reconstruction algorithm in addition to ordered subsets expectation maximum (OSEM) and time-of-flight (TOF) reconstruction algorithms and establish the optimum parameters to be used in clinical studies. Materials and methods We conducted a range of experiments using the National Electrical Manufacturers Association image quality phantom filled with a 4 : 1 signal-to-background ratio. We scanned the phantom using the GE Discovery 690 PET/CT scanner. We varied iteration number and Gaussian filtration. Results were compared for OSEM, OSEM+TOF and OSEM+TOF+PSF reconstructions. A sample of 15 whole-body fluorine-18-fluorodeoxyglucose were reconstructed with OSEM+TOF and OSEM+TOF+PSF using a selection of optimum reconstruction parameters determined in phantom studies. Clinicians qualitatively ranked their preferred images to choose optimum parameters. Results The addition of PSF improved signal-to-noise ratios (SNRs), contrast, hot contrast recovery coefficients and noise over OSEM and OSEM+TOF reconstruction algorithms. SNRs were the highest at two iterations and with 0 or 2 mm filters with OSEM+TOF+PSF reconstruction in all phantom studies. Clinicians generally favoured OSEM+TOF+PSF reconstruction with three iterations and a 2 mm filter. Conclusion PSF reconstruction significantly improved image quality for both clinical and phantom studies. We recommended the optimum reconstruction parameters using three iterations, 24 subsets and a 2 mm filter, which improved SNRs by up to 28.8% for small lesions (P |
| Databáze: | OpenAIRE |
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