Incorporation of a two metre long PET scanner in STIR
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1 School LICAMMof Medicine FACULTY Leeds Institute OF MEDICINE of Cardiovascular AND HEALTH & Metabolic Medicine Incorporation of a two metre long PET scanner in STIR C Tsoumpas, 1 C Brain, 2 T Dyke 2 1 Division of Biomedical Imaging 2 School of Physics and Astronomy C.Tsoumpas@leeds.ac.uk 5 th November 2015, San Diego, CA, USA
2 OVERVIEW Introduction to UltraPET Aim: UltraPET reconstruction & scatter simulation Methods & Materials: Phantoms, Software & HPC Results: Computational times & Scatter Profiles Future Directions: Speedup & List-mode reconstruction 2
3 PET Blood detector system (well counter) PET scanner tubing Radial artery Heart Lungs Jugular vein Radiotracer injection Brain Carotid artery Antecubital vein CO 2 -rich blood O 2 -rich blood PET assays the fate of natural molecules labelled with positron emitters (e.g. 18 F, 11 C, 15 O) by measuring the annihilation photons with a ring of detectors. 3
4 Ultra Sensitive PET Scanner (UltraPET) 4
5 AIM Integrate UltraPET in a common open access library (Software for Tomographic Image Reconstruction - STIR) Perform a crash test e.g. memory & computational requirements for reconstruction Assess the extent of validity of using the current scatter simulation algorithm, which assumes that scatter between oblique rings is similar to scatter within the same ring 5
6 MATERIALS & METHODS Phantom: XCAT 2.0 total-body anthropomorphic phantom, voxels with sizes mm 3 Scanner: 70x196 cm 2 field of view (575 rings) max ring diff: 336 Simulation: Projectors emission & attenuation (span 11 & mash 2) Software: STIR library (release 3.0) Algorithms: FBP-3DRP & OSEM & MPI OSEM (15 subsets & cores) Scatter simulation: Fully 3D for compressed scanner (23 block rings) Computational Resources: 3040-core high performance computer ARC2: 8-core Intel E GHz, 32 GB memory Tsoumpas et al (2015) J Phys Conf Ser 6
7 Part of the Scanner Information Configuration: case UltraPET: set_params(ultrapet, string_list("ultrapet","upet"), 575, 244, /* (15*36) +35 */ 229,15*48, 400.F, 8.F, 3.42F, 3.42F, ); 7
8 School of Medicine counts FBP-3DRP counts OSEM FBP-3DRP OSEM Requirements: Time FBP-3DRP: 4hrs OSEM: 9hrs MPI OSEM: 2hrs/it. Memory FBP-3DRP: 500MB OSEM: 5GM MPI OSEM: 15GB!!! 8
9 Part of the Scatter Template Interfile Information: Segments: 27; Views: 36; Axial coordinate range: From 10 to 23; Tangential coordinate: 61; Min & Max ring difference per segment: From -13, to 13; Number of rings: 23; Number of detectors per ring: 72; Inner ring diameter: 80; Distance between rings (cm): 8.55; Default bin size (cm): 1.368; Maximum number of non-arc-corrected bins: 61; Default number of arc-corrected bins: 57; effective central bin size (cm):
10 SINGLE SCATTER SIMULATION (SSS) B.. S.. - Sub-sample scanner (A, B) - Sub-sample attenuation map - Select scatter points (S) - Calculate Single Scatter giving as input the emission and the attenuation map - Up-sample sinogram to find scatter distribution for all detector bins A 10
11 Scatter simulation: Direct sinogram Oblique sinogram 11
12 Scatter simulation: Direct sinogram Oblique sinogram! 12
13 Line profiles for scatter between oblique sinograms Distance from scanner centre 13
14 Line profiles for scatter between oblique sinograms Distance from scanner centre 14
15 CONCLUSIONS Reconstruction: (not in high resolution) FBP-3DRP: 4 hours MPI 3D OSEM: 2 hours per iteration Future work: Scatter simulation & interpolation for oblique rings List-mode reconstruction Time of flight Depth of interaction Point spread function 15
16 ACKNOWLEDGMENTS Martin Callaghan et al Advanced Research Computing lab Jinyi Qi Ramsey Badawi Simon Cherry Xuezhu Zhang 16
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