Literature DB >> 24442479

Quantitative PET and SPECT performance characteristics of the Albira Trimodal pre-clinical tomograph.

T J Spinks, D Karia, M O Leach, G Flux.   

Abstract

The Albira Trimodal pre-clinical scanner comprises PET, SPECT and CT sub-systems and thus provides a range of pre-clinical imaging options. The PET component consists of three rings of single-crystal LYSO detectors with axial/transverse fields-of-view (FOVs) of 148/80 mm. The SPECT component has two opposing CsI detectors (100 × 100 mm2) with single-pinhole (SPH) or multi(9)-pinhole (MPH) collimators; the detectors rotate in 6° increments and their spacing can be adjusted to provide different FOVs (25 to 120 mm). The CT sub-system provides 'low' (200 µA, 35 kVp) or 'high' (400 µA, 45 kVp) power x-rays onto a flat-panel CsI detector. This study examines the performance characteristics and quantitative accuracy of the PET and SPECT components. Using the NEMA NU 4-2008 specifications (22Na point source), the PET spatial resolution is 1.5 + 0.1 mm on axis and sensitivity 6.3% (axial centre) and 4.6% (central 70 mm). The usable activity range is ≤ 10 MBq (18F) over which good linearity (within 5%) is obtained for a uniform cylinder spanning the axial FOV; increasing deviation from linearity with activity is, however, observed for the NEMA (mouse) line source phantom. Image uniformity axially is within 5%. Spatial resolution (SPH/MPH) for the minimum SPECT FOV used for mouse imaging (50 mm) is 1.5/1.7 mm and point source sensitivity 69/750 cps MBq–1. Axial uniformity of SPECT images (%CV of regions-of-interest counts along the axis) is mostly within 8% although there is a range of 30–40% for the largest FOV. The variation is significantly smaller within the central 40 mm. Instances of count rate nonlinearity (PET) and axial non-uniformity (SPECT) were found to be reproducible and thus amenable to empirical correction.

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Year:  2014        PMID: 24442479     DOI: 10.1088/0031-9155/59/3/715

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  5 in total

1.  Performance evaluation of the MOLECUBES β-CUBE-a high spatial resolution and high sensitivity small animal PET scanner utilizing monolithic LYSO scintillation detectors.

Authors:  Srilalan Krishnamoorthy; Eric Blankemeyer; Pieter Mollet; Suleman Surti; Roel Van Holen; Joel S Karp
Journal:  Phys Med Biol       Date:  2018-07-27       Impact factor: 3.609

2.  Pre-clinical quantitative imaging and mouse-specific dosimetry for 111In-labelled radiotracers.

Authors:  Ana M Denis-Bacelar; Sarah E Cronin; Chiara Da Pieve; Rowena L Paul; Sue A Eccles; Terence J Spinks; Carol Box; Adrian Hall; Jane K Sosabowski; Gabriela Kramer-Marek; Glenn D Flux
Journal:  EJNMMI Res       Date:  2016-11-25       Impact factor: 3.138

3.  Cardiac Radionuclide Imaging in Rodents: A Review of Methods, Results, and Factors at Play.

Authors:  Francesco Cicone; David Viertl; Ana Maria Quintela Pousa; Thibaut Denoël; Silvano Gnesin; Francesco Scopinaro; Marie-Catherine Vozenin; John O Prior
Journal:  Front Med (Lausanne)       Date:  2017-03-29

4.  Evaluating Imaging Biomarkers of Acquired Resistance to Targeted EGFR Therapy in Xenograft Models of Human Head and Neck Squamous Cell Carcinoma.

Authors:  Lauren C J Baker; Arti Sikka; Jonathan M Price; Jessica K R Boult; Elise Y Lepicard; Gary Box; Yann Jamin; Terry J Spinks; Gabriela Kramer-Marek; Martin O Leach; Suzanne A Eccles; Carol Box; Simon P Robinson
Journal:  Front Oncol       Date:  2018-07-23       Impact factor: 6.244

5.  Comments on the NEMA NU 4-2008 Standard on Performance Measurement of Small Animal Positron Emission Tomographs.

Authors:  Patrick Hallen; David Schug; Volkmar Schulz
Journal:  EJNMMI Phys       Date:  2020-02-24
  5 in total

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