Towards the application of patterned RPCs to very high resolution PET for small animals P. Fonte In the framework of the RD51 collaboration.

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Towards the application of patterned RPCs to very high resolution PET for small animals P. Fonte In the framework of the RD51 collaboration

Past collaborators The RPC-PET team C.M.B.A. Correia2, L. Fazendeiro1, M.F. Ferreira Marques4,5, C. Gil4, M. P. Macedo2,5 1 LIP, Laboratório de Instrumentação e Física Experimental de Partículas, 3004-516 Coimbra, Portugal. 2 CEI, Centro de Electrónica e Instrumentação, Univ. Coimbra, 3004-516 Coimbra, Portugal. 4 ICEMS, Departamento de Física, Universidade de Coimbra, 3004-516 Coimbra, Portugal. 5 ISEC, Instituto Superior de Engenharia de Coimbra, 3031-199 Coimbra, Portugal

The converter-plate principle The basic idea for RPC-based TOF-PET The converter-plate principle Use the electrode plates as a g converter, taking advantage of the natural layered construction of the RPCs. [Blanco 2002] e - .......... S tacked RPCs Time resolution for 511 keV photons: (our routine lab-test tool) 90 ps s for 1 photon 300 ps FWHM for the photon pair e- e+ Glass Gas A previous work on PET with gaseous detectors (21 lead plates + 20 MWPCs = 7% efficiency) “The Rutherford Appleton Laboratory´s Mark I Multiwire Proportional Counter Positron Camera” J.E. Bateman et al. NIM 225 (1984) 209-231

The converter-plate principle Intrinsic sources of instrumental position error The converter-plate principle Electronic noise Angle of ejection of the electron will shift the baricenter of the avalanche.  Minimized by very thin gas gap e - .......... S tacked RPCs e- e+ Glass Gas Different gaps fired along an inclined trajectory cause parallax error (depth of interaction – DOI error)  Identification of the fired gap by analysis of the induced charge pattern

Detection Probability Comparison with GEANT - efficiency Optimum efficiency is balanced by beam absorption (thicker plates) and extraction probability (thinner plates) Optimum thickness depends on the number of plates and on the material. Plate Thickness (m) Detection Probability (511 keV Photons) Glass Lead-Glass N Plates Lead Bateman et al. Optimum Thickness (µm) N Plates For few gaps ~0.2%/gap @ 511 keV [Blanco 2005]

Strong ENERGY SENSITIVY scattered photons statistically rejected GEANT - energy dependence Photon Detection Probability Incident Photon Energy (keV) Lead N Plates @ optimum thickness Lead-Glass Glass Material max Glass Lead-Glass Lead N Plates 101 17% 29% 31% 201 47% 50% Strong ENERGY SENSITIVY scattered photons statistically rejected

Possible specialized PET applications Comparison with the standard PET technology Disadvantages Certainly a much smaller efficiency: 20 to 50% as compared to 70 to 80%. No energy resolution, but there is an equivalent energy sensitivity... more later. Detector scatter (vs. “misidentified fraction” in crystal blocks) Advantages Increasing system sensitivity Inexpensive  large areas possible  large solid angle coverage Excelent timing  TOF-PET possible+optimum randoms rejection Increasing position accuracy Gaseous detectors routinely deliver 0.1 mm resolution Full 3D localization possible  no gross parallax error The very small gap minimizes intrinsic errors Other Simultaneous full body imaging (continuous uptake signal) Compatible with magnetic field  PET-MRI can be considered Possible specialized PET applications Whole-body Human PET [Couceiro 2013] 1 mm Small Animal PET Simulation: 0.51mm FWHM

Small animal PET - a first prototype Charge-sensitive electronics allowing interstrip position interpolation Aimed at verifying the concept and show the viability of a sub-millimetric spatial resolution. 32 strips 16 plates ....... ....... 16 stacked RPCs Depth of interaction Z 2D measurement of the photon interaction point X Transaxial

System

Intrinsic spatial resolution . Custom-made 22Na source 0.22 Ø x 0.5 mm LORs Red lines correspond to real data acquired with the 22Na source LOR = Line of Response. Connects the interaction points of the photons. D = Distance between each LOR and the center of the system

Image spatial resolution (gaussian fitting) Maximum likelihood-expectation maximization with resolution modeling (ML-EM) ~ 305 m FWHM Filtered Back Projection FBP ~ 465 m FWHM 0.46 0.31 0.47 0.48 [Blanco, IEEE MIC 2004] 0.45 0.30 0.32 0.29 Proceeding IEEE MIC (2004) M2-177 Homogeneous spatial resolution over the entire field of view

Evaluation of the count rate performance Prompts, Randoms, and NECR Simulated count rate performance Evaluation of the count rate performance Prompts, Randoms, and NECR Mouse size phantom: 25 Ø x 70 mm (34 cm3) Annihilations and photons on the detector surface from the simulation. GEANT4 Characteristic of the simulated system: 90% Solid angle coverage => defining a FOV of 60 Ø x 100 mm axial. Narrow coincidence window 1 ns. (Timing resolution 300 ps FWHM) Dead time ~ 100 ns. 10% - 15% detection efficiency. [Blanco, IEEE MIC 2004]

Performance – small animal PET Comparison between different small animal PET parameters and the expected parameters of the RPC-PET. [Blanco, IEEE MIC 2004] Yuan-Chuan Tai et al., “MicroPET II: design, development and initial performance of an improved MicroPET scanner for small-animal imaging”, Phys. Med. Biol. 48 (2003) 1519-1537. Yongfeng Yang, et al., “Optimization and performance evaluation of the microPET II scanner for in vivo small-animal imaging”, Phys. Med. Biol. 49 (2004) 2527-2545. A. del Guerra, G. Di Domenico, M. Scandola, G. Zavattini, “YAP-PET: first results of a small animal Positron Emission Tomograph based on YAP:Ce finger crystals”, IEEE Trans. Nucl. Sci., vol 45, No. 6 December 1998, 3105-3108. G. Di Domenico et al., “Characterization of the Ferrera animal PET scanner”, Nucl. Instr. And Meth. A, 477 (2002) 505-508. A.P. Jeavons, R.A. Chandler, C.A.R. Dettmar, “A 3D HIDAC-PET Camera with Sub-millimetre Resolution for Imaging Small Animals”, IEEE Trans. Nucl. Sci., vol. 46, No. 3, June 1999, 468-473. Richard Laforest et al. “Performance Evaluation of the microPET – Focus F120”, presented at IEEE NSS/MIC Rome 2005.

Expected quantum efficiency and resolution Full scanner for mice Expected quantum efficiency and resolution

Full scanner for mice (almost finished)

(signal-transparent) Detector & readout HV distribution layer (signal-transparent) kapton insulation 5 gaps 0.35 mm 6 x 0.38mm glass ~5 mm thick Full head

Readout 22 strips/coordinate X-electrode Y-electrode 4 mm pitch 22 charge channels

Readout ±HV Auxiliary coarse Z determination All electrodes readout in parallel 24 charge channels/coordinate/head Time readout (for trigger)

Readout (meant for accuracy) DAQ Provided by the HADES DAQ group GSI, IKF (Germany) and JU (Poland). 192 charge amplifiers optimized for large Cin 192 channels 12 bit streaming ADC Digital Pulse Processing by software Few channels of 100ps TDC also used Not so much hardware  low cost

Readout (meant for accuracy) Typical charge spectra with gammas RMS pedestal/strip Pedestals (sum of 7 strips with larger signal) “TOFtracker” (RPC2012) 36 µm resolution tracking cosmic rays Mean Q ~320 ADC units RMS pedestal ~7 ADC units RMS pedestal/strip ~2 ADC units SNR ~ 45

Detector a Step Motor Detector b Resolution tests in simplified geometry Two detectors with XY localization Detector a Step Motor Acceptance ±56º Detector b Needle source, 0.2 mm  int. Planar (disk) source

Full area, all angles (up to 56º), Resolution tests (needle source) Full area, all angles (up to 56º), all gaps (DOI) MLEM reconstruction Joint reconstruction of the source in 2 positions separated by 1mm. ~130k LORs in 3.5M 25m voxels. Color maps: planar profiles including peak density point. Isosufaces: 50% rel. activity Reconstructed activity profile across the black line shown in the upper left panel. Resolution ~0.4mm FWHM +background (Note: source is 0.2mm diam.)

Resolution tests (planar source) 22Na planar source edge-on all angles, all gaps 1mm “mathematical” separation MLEM reconstruction Profiles across image (0.5 mm FWHM) Isosufaces: 50% rel. activity

Resolution in final geometry (2 heads only, needle source) X’ PRELIMINARY Calibration not done in full.

Absolute efficiency in final geometry (2 heads only, needle source) EVEN MORE PRELIMINARY 1.8%/gap to be compared to 2%/gap from GEANT

Conclusion An excellent space resolution of 0.4 mm FWHM was demonstrated in very realistic conditions without software enhancements (commercial tomographs > 1mm) A full scanner for mice is in an advanced completion stage, yielding a preliminary resolution of 0.52 mm FWHM It seems that the absolute efficiency may approach the simulated one. A competitive sensitivity (peakNEC) of 318Kcps has been suggested by simulations A very competitive PET scanner for small animals based on RPCs may be at hand, featuring excellent resolution (very much in demand today), reasonable efficiency and low cost.