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Imaging molecolare ad alta risoluzione spaziale ed alta efficienza

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Presentation on theme: "Imaging molecolare ad alta risoluzione spaziale ed alta efficienza"— Presentation transcript:

1 Imaging molecolare ad alta risoluzione spaziale ed alta efficienza
F. Garibaldi CV INFN - perche’ - come cosa occorre richiesta

2 Functional Molecular Imaging Large collaboration is needed
What is needed Submillimetric spatial resolution -High efficiency collimation is a key parameter standard parallel hole collimator pinhole multipinhole Small animal imaging, important area of bio-medical research - studying new radiopharmaceuticals - animal such mice serve as models for many studies (neural function, coronary diseases, cancer, stem cells etc.) Some example Challenging detectors Models of bone dismetabolism(osteoporosys)(h) Drug metabolism (m) Brain tumors ( for example, neuroblastoma in children) (h) Studying specific vs aspecific uptake of radiopharmaceuticals (m) Studying Annexin V peptide (it is taken up in apopotosys) (m) Brain activity measurements (m) Stem cells (d,w) Techniques - PET intrinsic limitations - expensive - Single Photon Emission simpler technique tradeoff spatial resolution vs sensitivity and FOV complementarity Large collaboration is needed (physicist and M.D.)

3 changing L,d Collimator better res. small FOV lower eff. Pinhole
PET Thin Line Collimator Thin Cone Pinhole Coded Aperture Thin Cones Compton Cone Surface better res. small FOV lower eff. w - results similar to pinhole higher efficiency > L < d changing L,d efficiency vs sp.res. 0 – 20 mm 1 – %

4 parallel hole pin hole spatial resolution efficiency g = de2/16xb2
a = pin hole - detector distance b = pin hole - object distance d = hole aperture a = pin hole angle efficiency g = de2/16xb2

5 R3292 (5 inch) or H8500 (Flat panel)
FOV=20 mm FOV=10 mm R3292 (5 inch) or H8500 (Flat panel)

6 Scintillator arrays

7 starting point simple desktop detector Understanding limitations
- spatial resolution - sensitivity what can be improved ? intrinsic detector performances FOV sensitivity .pinhole collimator .array od pixellated scintillator (NaI(Tl))(1.25x1.25x5 mm3) and (1.8 x1.8 x6 mm3) . PSPMT (R2486 (3”) (Hamamatsu) Not independent

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9 H8500 H9500 3 mm 6 mm

10 Comparison pin-hole parallel hole collimator
NaI(Tl), 1.8 x 1.8 mm pixel size 57Co source 1 mm diameter at 5 mm distance 140 keV high resolution parallel hole collimator FWHM= 2.8 mm pin hole collimator I = 3 FWHM = 1.7 mm efficiency - Parallel hole : ~ 15.9 counts/mCixs - Pinhole : ~ 3 counts/mCixs (1mm aperture) “only” a factor ~ 5

11 Resolution doesn’t improve, pixels identification not so good
NaI(Tl), 1.8 x 1.8x 5 mm3 Pinhole aperture : 1mm Source diameter: ~ 1.0 mm Pinhole aperture: 0.67 mm d= 17 mm (I=3) FWHM = 1.1 mm FWHM = 1.7 mm d = 7 mm (I=~7) FWHM = 1.3 mm NaI(Tl), 1.25x1.25x 5 mm3 I = 7 FWHM = 1.3 mm Resolution doesn’t improve, pixels identification not so good --> photodetector limitation

12 Let’s improve the pixel identification
(better sampling at anode level (M16 (4 x 4 mm2 and M64 (2x2 mm2)) Source diameter: ~ 1.0 mm, I ~ 7 NaI(Tl), 1.8 mm pixel size, M64 NaI(Tl), 1.8 mm pixel size, M16 1.0 mm FWHM 1.1 mm FWHM NaI(Tl), 1.25 mm pixel size, M64 NaI(Tl), 1.25 mm pixel size, M16 1.1 mm FWHM 1.0 mm FWHM

13 CsI(Tl) arrays Hamamatsu PSPMT’s C8,M16,M64 (different anode)
4.2x4.2 mm2 2.5x2.5 mm2 1.5x1.5 mm2

14 Improving sampling -> better pixel identification
(more pixel in the image) M16, 1.8 mm pixel R2486, 1.8 mm pixel M64, 1.8 mm pixel M16, 1.2 mm pixel M64, 1.25 mm pixel R2486, 1.2 mm pixel

15 small anode pixel ->better sampling ->better performances
- pin hole aperture dominates the spatial resolution - apertures = 0.5 mm (or 0.3 mm) would improve spatial resolution but lowering counting rates small anode pixel ->better sampling ->better performances M16 and M64 have small area (~20 x 20 mm2) arrays possible solution but dead area --> not the best H8500 (50 x 50 mm2, 64 channels (anode sampling 6 x 6 mm2) - H9500 (50 x 50 mm2, 256 channels (anode sampling 3x3 mm2) available

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17 catene resistive vs multiwire

18 To be done - fixing FOV according to the particular research
- fixing the area (50 x 50 mm2 to 100 x 100 mm2) seems to best solution ---> FOV = ~ 15 x 15 mm2 to 50 x 50 mm2 (according to the detector area and magnification) - maximizing the number of pixel - trying to improve sensitivity - reading out all the channels

19 How Pin hole (tungsten) collimator (0.3,0.5,0.7,1) mm better photodetector NaI 1.8 x 1.8 mm2 *(and 1.25 x 1.25 mm2)-H channels(6x6 mm2 anode pixel) Improving detector peformances (more pixel, better indentification, improved spatial resolution) NaI x 1.25 mm H channels (3x3 mm2 anode pixel) Improving the efficiency - bigger detector area - better collimation (coded aperture) Next step: smaller scintillator pixel size? CsI (Tl) (or Na? ) or NaI(Tl)

20 (Pin hole 0.7 mm tungsten, H8500 64 ch) Flood Field irradiation
New Detector (Pin hole 0.7 mm tungsten, H ch) (1.8 x 1.8 mm2) (1.25 x 1.25 mm2) Good pixel identification For 1.8 x 1.8 not so good for 1.25 x 1. 25 -> better anode sampling is needed --> H channels Flood Field irradiation Eg = 122 keV

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22 Read-out electronics

23 High resolution preserving high SNR ? coded apertures
Ideal pinhole +perfect resolution -zero transmitted power Real pinhole +some signal through -degraded resolution Coded Aperture +signal of finite pinhole +resolution of ideal pinhole

24 Coded apertures I (Image) = O (object) x A (aperture) A  G = d then
Figure adapted from:Fenimore and Cannon, Optical Engineering, 19, 3, , 1980. Example of apertures with known decoding pattern I (Image) = O (object) x A (aperture) There are decoding patterns G allowing: A  G = d then A  G = Ô, in fact Ô = R  G = ( O × A )  G = O * (A  G) = O * PSF

25 coded aperture collimators
simulation for our desktop detector 10Ci in 10 s 4444 pixels 1.25 x 1.25 mm2 FoV 22 cm2. Mask NTHT MURA 2222, =2, 1% transparent, thickness 1.5 mm W. Pitch 0.68 mm. Line source 10Ci in 10 s 2D source 10Ci in 10 s sensitivity improved by a factor 30! coded aperture collimators

26 Submillimeter spatial resolution
Reconstruction of a 122 keV point-like source using the coded apertures Submillimeter spatial resolution High sensitivity (factor ~ 30) FWHM=0.93 mm Sensitivity=145 cps /MBq 5 cps/MBq with pinhole

27 Image of a mouse head Top view of a mouse injected with 3 mCi of 99Tc-MDP (image time 25 min; FOV = 16 x16 mm2)

28 Conclusioni Rilevanza Perche’ Come Cosa occorre
Imaging funzionale, mediante radionuclidi ad alta risoluzione ed efficienza, signle photon (planare e tomografico) Come Scintillatore(i) pixellato, fototubo(i), DAQ “veloce” per ~ 1000 ch, collimatori pinhole e/o aperture codificate Cosa occorre


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