Characterization of diffractive optical elements for improving the performance of an endoscopic TOFPET detector head Student: G. A. Fornaro 4/10/2015 Supervisor: G. Battistoni G.A. Fornaro Outline PET principles EndoTOFPET-US: the project Time of light (TOF) principle Optical optimization by means of micro optical element (MOE) 4/10/2015 G.A. Fornaro PET Principles γ n p n pne+ n nep+ p np p tracer Injection (18F-FDG) Ring of scintillators γ (511 KeV) LOR x z f f s Parallel projections 4/10/2015 e- e+ 2π coincidences Neutron-deficient isotope Projection f (511 KeV) s Reconstructionz PET data (sinograms) G.A. Fornaro PET images PET: origins of noise Coincidence time window (Δt): time in which two detected photons are considered to be originated in the same event • True coincidences Rt S • Scattered coincidences 2 • Random coincidences Rr t S Rt Rs In a PET detection system: Single count rate 1 t S t N phe Duration of scintillation Number of phe in the detector In order to reduce the noise it is important to improve the time resolution of the detecting system and thus to maximize the number of photon extracted from the crystal 4/10/2015 G.A. Fornaro EndoTOFPET-US project • First clinical target: pancreatic cancers; • Develop new biomarkers; • Develop a dual modality PET-US endoscopic probe with... – – – – 4/10/2015 Spatial resolution: 1mm Timing resolution: 200ps FWHM coincidence High sensitivity to detect 1mm tumors in a few minutes Energy resolution: sufficient to discriminate against Compton events G.A. Fornaro EndoTOFPET-US project Aim: 4/10/2015 build a prototype of a PET-US endoscopic probe for detection of early stage pancreatic tumors G.A. Fornaro EndoTOFPET-US project Aim: build a prototype of a PET-US endoscopic probe for detection of early stage pancreatic tumors Ultrasound trasducer Scintillating crystal matrix Micro optical element 4/10/2015 d-SiPM G.A. Fornaro Biopsy niddle EndoTOFPET-US project US: detects regions in which the density of the tissue changes (possible cancer) 4/10/2015 G.A. Fornaro EndoTOFPET-US project External PET Plate PET detector 4/10/2015 G.A. Fornaro External PET Plate EndoTOFPET project 4/10/2015 G.A. Fornaro Time of Flight info reduce the statistical noise variance D SNR TOF d with SNR CONV d c t 2 tB Detector B d Patient D 3 cm d1 e+ e- tA Detector A t tB t A 4/10/2015 d d 1 d d 1 c G.A. Fornaro t 200 ps Time of Flight info reduce the statistical noise variance d-SiPM with t D single SPAD readout for d c with SNR TOFsingle optical SNRphoton counting CONV 2 d tB d Detector B Patient Individual SPAD d1 e+ D 3 cm e- tA Detector A t tB t A 4/10/2015 d d 1 d d 1 c G.A. Fornaro t 200 ps MOE: Aim and concept Problem: 50% light of the crystal is lost in the dead zones of the d-SiPM Crystal 4/10/2015 MOE G.A. Fornaro d-SiPM MOE: Aim and concept Problem: 50% light of the crystal is lost in the dead zones of the d-SiPM Crystal MOE d-SiPM Solution: optical collimator btw crystal and photodetector 4/10/2015 G.A. Fornaro Optical collimator/ Lenticular Lens 500µm MOE: Aim and concept Problem: 50% light of the crystal is lost in the dead zones of the d-SiPM Crystal MOE d-SiPM Solution: optical collimator btw crystal and photodetector 1) Match pitches of d-SiPM (25µm active area); 25 µm 25 µm 800 µm 4/10/2015 G.A. Fornaro MOE: Aim and concept Problem: 50% light of the crystal is lost in the dead zones of the d-SiPM Crystal MOE d-SiPM Solution: optical collimator btw crystal and photodetector 1) Match pitches of d-SiPM (50µm); 2) Concentrate the maximum of light into parallel rays 3) Create ‘differential’ light pattern on the SPAD surface only; 4/10/2015 G.A. Fornaro d-SiPM MOE: Aim and concept Problem: 50% light of the crystal is lost in the dead zones of the d-SiPM simulations forecast a transmission d-SiPM gain of 1.3 Crystal MOE Solution: optical collimator between crystal and photodetector 1) Match pitches of d-SiPM (50µm); 2) Concentrate the maximum of light into parallel rays 3) Create ‘differential’ light pattern on the SPAD surface only; 4/10/2015 G.A. Fornaro Benches for MOE characterization We have built and tested different benches for the optical characterization of the MOE: Crystal + MOE in direct contact with the sensitive area of a CCD used as photodetector X- Rays source Matrix MOE CCD Characterization of light distribution at the output of the crystal (input of MOE) γ-Source Characterization of MOE in direct contact with CCD (near field): by changing the angle of incidence of light on the MOE we detected the transmitted light at its output UV Lamp USB connection PMT crystal pinhole Rotating disk CCD+MOE filter Complete characterization of MOE with the camera (far field): by changing the angle of incidence of light on the MOE we detected the light distribution at its output 4/10/2015 G.A. Fornaro Digital θ Camera filter UV Lamp γ MOE The works are in progress… Reach a convergence btw experimental parameter and the ones of simulations in order to make the comparison of the results more and more realistic Final aim: understand well the input parameters of the MOE in order to be able to forecast its output’s intensity profile … 4/10/2015 G.A. Fornaro Direct contact with CCD X-Rays direction X- Rays source CCD Average of each vertical array of pixels Matrix USB connection Horizontal array of averages intensities Proteus/AGILE 4x4 crystal matrix : • all crystals fully wrapped (Vikuiti) • X-Rays (40 keV) could only penetrate and excite the first vertical row of crystal Intensity (a.u.) air interface crystal-CCD Bare Matrix Horizontal position (pixels) 4/10/2015 G.A. Fornaro Direct contact with CCD X- Rays source X-Rays direction Matrix MOE CCD Average of each vertical array of pixels USB connecti on Proteus/AGILE 4x4 crystal matrix : • all crystals fully wrapped (Vikuiti) • X-Rays (40 keV) could only penetrate and excite the first vertical row of crystal Intensity (a.u.) air interface crystal-MOE and MOE-CCD Horizontal array of averages intensities Bare Matrix Matrix + MOE (air) Horizontal position (pixels) 4/10/2015 G.A. Fornaro Direct contact with CCD: matrix in dry contact with MOE Gain on single peaks For evaluating the gain we would have in the active regions of a SPAD that will be put in front of the MOE we calculated: 1. 2. the integral of the intensity of light coming out from the crystal+MOE in a region of 25μm (≈5 pixels) around each peak; the integral of the intensity of light coming out from the bare crystal in the same regions of 25 μm peak 1 2 3 4 5 6 7 8 9 10 11 12 13 14 A.R. 1.21 1.25 1.30 1.29 1.26 1.26 1.26 1.23 1.24 1.25 1.25 1.28 1.28 1.30 A.R. = gain in the active regions of a SPAD Average gain on the peaks = 1.26 Gain forecasted by simulations =1.7 Intensity (a.u.) 25μm 3 4 5 6 7 8 9 10 12 13 14 11 Bare Matrix Matrix + MOE (air) Horizontal position (pixels) 4/10/2015 G.A. Fornaro WP1: UnivMed Project Coordination WP2: CERN Crystals and optics Scintillating fibers and diffrative coupling optics 4 years project WP3: Delft TU Photodetectors Novel digital photodetectors WP5: DESY Detector Integration Miniaturized probe Tracking&Image fusion WP4: LIP FE and DAQ electronics Highly integrated TOF electronics WP6: TUM Clinical requirements & preclinical and pilot clinical studies Feasibility tests on pigs, Pilot clinical tests, Impact on biomarker studies 4/10/2015 G.A. Fornaro