Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies. Issue 1 (January 2017)

• Record Type: Journal Article
• Authors: Sah, Bert-Ram; Stolzmann, Paul; Delso, Gaspar; Wollenweber, Scott D.; Hüllner, Martin; Hakami, Yahya A.; Queiroz, Marcelo A.; Barbosa, Felipe de Galiza; von Schulthess, Gustav K.; Pietsch, Carsten; Veit-Haibach, Patrick
• Is Part Of: Nuclear medicine communications. Volume 38:Issue 1(2017:Jan.)
• Publication Date: 2017-01
• Subjects: image reconstruction -- penalized likelihood -- PET -- reconstruction algorithm; Nuclear medicine -- Periodicals; 616.07575
• DOI: 10.1097/MNM.0000000000000604
• Languages: English
• ISSNs: 0143-3636

Abstract

Abstract : Purpose: To investigate the clinical performance of a block sequential regularized expectation maximization (BSREM) penalized likelihood reconstruction algorithm in oncologic PET/computed tomography (CT) studies. Methods: A total of 410 reconstructions of 41 fluorine-18 fluorodeoxyglucose-PET/CT studies of 41 patients with a total of 2010 lesions were analyzed by two experienced nuclear medicine physicians. Images were reconstructed with BSREM (with four different β values) or ordered subset expectation maximization (OSEM) algorithm with/without time-of-flight (TOF/non-TOF) corrections. OSEM reconstruction postfiltering was 4.0 mm full-width at half-maximum; BSREM did not use postfiltering. Evaluation of general image quality was performed with a five-point scale using maximum intensity projections. Artifacts (category 1), image sharpness (category 2), noise (category 3), and lesion detectability (category 4) were analyzed using a four-point scale. Size and maximum standardized uptake value (SUVmax ) of lesions were measured by a third reader not involved in the image evaluation. Results: BSREM-TOF reconstructions showed the best results in all categories, independent of different body compartments. In all categories, BSREM non-TOF reconstructions were significantly better than OSEM non-TOF reconstructions ( P <0.001). In almost all categories, BSREM non-TOF reconstruction was comparable to or better than the OSEM-TOF algorithm ( P <0.001 for general image quality, image sharpness, noise, and P =1.0 for artifact). Only in lesion detectability was OSEM-TOF significantly better than BSREM non-TOF ( P <0.001). Both BSREM-TOF and BSREM non-TOF showed a decreasing SUVmax with increasing β values ( P <0.001) and TOF reconstructions showed a significantly higher SUVmax than non-TOF reconstructions ( P <0.001). Conclusion: The BSREM reconstruction algorithm showed a relevant improvement compared with OSEM reconstruction in PET/CT studies in all evaluated categories. BSREM might be used in clinical routine in conjunction with TOF to achieve better/higher image quality and lesion detectability or in PET/CT-systems without TOF-capability for enhancement of overall image quality as well. Abstract : Supplemental Digital Content is available in the text.