Abstract
Purpose
To investigate the minimum number of SiPM detectors required for solid-state digital photon counting (DPC) oncologic whole-body 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomography (PET)/X-ray computed tomography (CT).
Procedures
A DPC PET/CT (Vereos, Philips) with 23,040 1-to-1 crystal-to-detector couplings was utilized. [18F]FDG PET/CT of a uniformity phantom and 10 oncology patients selected by block randomization from a large clinical trial were included (457 ± 38 MBq, 64 ± 22 min p.i, body mass index (BMI) of 14–41). Sparse-ring PET configurations with 50 % detector reduction in tangential and axial directions were analyzed and compared to the current full ring configuration. Resulting images were reviewed blindly and quantitatively over detectable lesions and the liver.
Results
One hundred twelve lesions (d = 10 to 95 mm) were analyzed in the patient population. All lesions remained visible and were demonstrated without compromised image quality under all BMIs in the 50 % sparse detector configurations despite the DPC PET system sensitivity reduction to 1/4th. An excellent consistency of SUVmax measurements of lesions with an average of 5 % SUVmax difference was found between dPET of full and sparse configurations.
Conclusions
The feasibility of either expanding the axial field of view (FOV) by a factor of two or halving the number of detectors was demonstrated for solid-state digital photon counting PET, thus either potentially enabling cost reduction or extended effective axial FOV without increased cost.
References
Schaart DR, van Dam HT, Seifert S, Vinke R, Dendooven P, Löhner H, Beekman FJ (2009) A novel, SiPM-array-based, monolithic scintillator detector for PET. Phys Med Biol 54:3501–3512
Zhang J, Miller M, Binzel K, Tung C, Knopp MV (2016) Evaluation of the stability and system characteristics of digital photon counting PET/CT. J Nucl Med 57(Suppl 2):258
Hsu DFC, Ilan E, Peterson WT, Uribe J, Lubberink M, Levin CS (2017) Studies of a next generation silicon-photomultiplier-based time-of-flight PET/CT system. J Nucl Med 58(9):1511–1518
Zhang X, Wang X, Ren N, Kuang Z, Deng X, Fu X, Wu S, Sang Z, Hu Z, Liang D, Liu X, Zheng H, Yang Y (2017) Performance of a SiPM based semi-monolithic scintillator PET detector. Phys Med Biol 62:7889–7904
Zhang J, Maniawski P, Knopp MV (2017) Effect of next generation SiPM digital photon counting PET technology on effective system spatial resolution. J Nucl Med 58(Suppl 1):1322
Vandenberghe S, Mikhaylova E, D’Hoe E et al (2016) Recent developments in time-of-flight PET. EJNMMI Phys 3:3
Knopp MV, Binzel K, Nagar V et al (2015) Initial clinical experience using a digital PET detector for whole-body oncologic PET/CT. J Nucl Med 56(Suppl 3):1695
Wright CL, Binzel K, Zhang J, Wuthrick EJ, Knopp MV (2017) Clinical feasibility of 90Y digital PET/CT for imaging microsphere biodistribution following radioembolization. Eur J Nucl Med Mol Imaging 44:1194–1197
Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182–1195
Bian J, Siewerdsen JH, Han X et al (2010) Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT. Phys Med Biol 21(55):6575–6599
Kalke M, Siltanen S (2014) Sinogram interpolation method for sparse-angle tomography. Appl Math 5:423–441
Lee E, Werner ME, Karp JS, Surti S (2013) Design optimization of a time-of-flight, breast PET scanner. IEEE Trans Nucl Sci 60:1645–1652
Valiollahzadeh S, Clark JW Jr, Mawlawi O (2015) Using compressive sensing to recover images from PET scanners with partial detector rings. Med Phys 42:121–133
Tashima H, Yoshida E, Inadama N, Nishikido F, Nakajima Y, Wakizaka H, Shinaji T, Nitta M, Kinouchi S, Suga M, Haneishi H, Inaniwa T, Yamaya T (2016) Development of a small single-ring OpenPET prototype with a novel transformable architecture. Phys Med Biol 61:1795–1809
Zhang Z, Ye J, Chen B, Perkins AE, Rose S, Sidky EY, Kao CM, Xia D, Tung CH, Pan X (2016) Investigation of optimization-based reconstruction with an image-total-variation constraint in PET. Phys Med Biol 61:6055–6084
Son JW, Kim KY, Yoon HS, et al (2017) Proof-of-concept prototype time-of-flight PET system based on high-quantum-efficiency multi-anode PMTs. Med Phys. https://doi.org/10.1002/mp.12440
Saha GB (2010) Performance characteristics of PET scanners. In: Basics of PET imaging: physics, chemistry, and regulations. Springer-Verlag, New York, pp 101–102
Budinger TF (1998) PET instrumentation: what are the limits? Semin Nucl Med 28:247–267
Cherry SR, Sorenson JA, Phelps ME (2012) Positron emission tomography. In: Physics in Nuclear Medicine, 4th edn. Elsevier Health Sciences, New York, pp 319–321
Strother SC, Casey ME, Hoffman EJ (1990) Measuring PET scanner sensitivity: relating countrates to image signal-to-noise ratios using noise equivalent counts. IEEE Trans Nucl Sci 37:783–788
Acknowledgements
Dr. Bin Zhang (Philips) provided technical support.
Financial Disclosure
The study is supported by the ODSA grant TECH 13-060. Philips provided the pre-commercial release system.
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All procedures performed in the study involving human participants were in accordance with the ethical standards of the institutional research committee and the institutional review board approval. Informed consent was obtained from all participants.
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The authors declare that they have no conflict of interest.
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Zhang, J., Knopp, M.I. & Knopp, M.V. Sparse Detector Configuration in SiPM Digital Photon Counting PET: a Feasibility Study. Mol Imaging Biol 21, 447–453 (2019). https://doi.org/10.1007/s11307-018-1250-7
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DOI: https://doi.org/10.1007/s11307-018-1250-7