PhenoPET — results from the plant scanner

Streun, M.; Borggrewe, K.; Chlubek, Antonia; Dautzenberg, M.; Degenhardt, C.; Dorscheid, R.; Durini, Daniel; Erven, A.; Jokhovets, L.; Meessen, Louis; Metzner, Ralf; Mulhens, Oliver; Nöldgen, H.; Pflugfelder, Daniel; Reinartz, Sebastian; Scheins, Juergen; Zwaans, B.; Jahnke, Siegfried; Schurr, Ulrich; Waasen, Stefan van

doi:10.1109/nssmic.2016.8069506

Cited by 5 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The coincidence window is 2.5 ns with an energy window of 348-652 keV. The coincidence timing resolution for a centered rod source is 0.631 ns after the correction of skews (timing differences between detectors (Streun et al 2016b(Streun et al , 2017). The time of flight (TOF) leads to the coincidence window to safely get all coincidences inside the FOV (compare (Hinz 2021)).…”

Section: Setupmentioning

confidence: 99%

Setup and characterisation according to NEMA NU 4 of the phenoPET scanner, a PET system dedicated for plant sciences

Hinz,

Jahnke,

Metzner

et al. 2024

Phys. Med. Biol.

View full text Add to dashboard Cite

The phenoPET system is a plant dedicated Positron Emission Tomography (PET) scanner consisting of fully digital photo multipliers with lutetium-yttrium oxyorthosilicate crystals and located inside a custom climate chamber. Here, we present the setup of phenoPET, its data processing and image reconstruction together with the performance according to the NEMA standard for small animal PET systems. The spatial resolution for a 22Na point source at a radial distance of 5mm to the center of the Field-of-View (FOV) is 1.45mm, 0.82mm and 1.88mm with Filtered Back Projection in radial, tangential and axial direction, respectively. A hot rod phantom with 18F gives a spatial resolution of up to 1.6mm. The peak noise-equivalent count rates are 550kcps@35.08MBq, 308kcps@33MBq and 45kcps@40.60MBq for the mouse, rat and monkey size scatter phantoms, respectively. The scatter fractions for these phantoms are 12.63%, 22.64% and 55.90%. We observe a peak sensitivity of up to 3.6% and a total sensitivity of up to SA,tot=2.17%. For the NEMA image quality phantom we observe a uniformity of %STD=4.22% with Ordinary Poisson Maximum Likelihood Expectation-Maximization with 52 iterations. Here, recovery coefficients of 0.12, 0.64, 0.89, 0.93 and 0.91 for 1mm, 2mm, 3mm, 4mm and 5mm rods are obtained and spill-over ratios of 0.08 and 0.14 for the water-filled and air-filled inserts, respectively. The phenoPET and its laboratory are now in routine operation for the administration of [11C]CO2 and non-invasive measurement of transport and allocation of 11C-labelled photoassimilates in plants.

show abstract

Section: Setupmentioning

confidence: 99%

Setup and characterisation according to NEMA NU 4 of the phenoPET scanner, a PET system dedicated for plant sciences

Hinz,

Jahnke,

Metzner

et al. 2024

Phys. Med. Biol.

View full text Add to dashboard Cite

show abstract

“…The relevant signal conditioning and processing printed circuit board (PCB) is placed beneath the tile. Measurements and prototypes of PET based on the DPC series have been widely investigated by many research groups in recent years [135,136,137,138,139,140,141,142,143,144].…”

Section: Silicon Photomultipliers (Sipms)mentioning

confidence: 99%

“…That is to say, the detector made of the DPC and a GAGG scintillator was an alternative option for small animal PET with a small FoV, in which the ToF technique—which requires high performance in terms of CRT—is not a critical issue for image resolution. Another PET prototype with a FOV of 18 cm diameter and an axial height of 20 cm, formed by 12 detector modules, was introduced in [138,139]. Each module comprised of an array of 16 × 16 LYSO of size 1.85 × 1.85 × 10 mm 3 and a DPC-3200-22-44.…”

Section: Silicon Photomultipliers (Sipms)mentioning

confidence: 99%

See 1 more Smart Citation

Sensors for Positron Emission Tomography Applications

Jiang

Chalich

Deen

2019

Sensors

View full text Add to dashboard Cite

Positron emission tomography (PET) imaging is an essential tool in clinical applications for the diagnosis of diseases due to its ability to acquire functional images to help differentiate between metabolic and biological activities at the molecular level. One key limiting factor in the development of efficient and accurate PET systems is the sensor technology in the PET detector. There are generally four types of sensor technologies employed: photomultiplier tubes (PMTs), avalanche photodiodes (APDs), silicon photomultipliers (SiPMs), and cadmium zinc telluride (CZT) detectors. PMTs were widely used for PET applications in the early days due to their excellent performance metrics of high gain, low noise, and fast timing. However, the fragility and bulkiness of the PMT glass tubes, high operating voltage, and sensitivity to magnetic fields ultimately limit this technology for future cost-effective and multi-modal systems. As a result, solid-state photodetectors like the APD, SiPM, and CZT detectors, and their applications for PET systems, have attracted lots of research interest, especially owing to the continual advancements in the semiconductor fabrication process. In this review, we study and discuss the operating principles, key performance parameters, and PET applications for each type of sensor technology with an emphasis on SiPM and CZT detectors—the two most promising types of sensors for future PET systems. We also present the sensor technologies used in commercially available state-of-the-art PET systems. Finally, the strengths and weaknesses of these four types of sensors are compared and the research challenges of SiPM and CZT detectors are discussed and summarized.

show abstract

“…These methods yield spatially and temporally resolved data of the tracer distribution within the plant, which can be analyzed by mathematical methods in order to estimate transport properties such as tracer transport velocities and leakage along the transport pathway (Tyree, 1975 ; Minchin and Thorpe, 2003 ; Suwa et al, 2008 ; Bühler et al, 2011 , 2014 , 2017 ; Converse et al, 2015 ). Further development of PET scanners dedicated for plant research (Streun et al, 2014 , 2016 ) offers a high potential for plant phenotyping (Fiorani and Schurr, 2013 ; Hubeau and Steppe, 2015 ), but for this purpose the sample throughput needs to be increased. In view of the limited availability and high operating costs of radioisotope production and PET devices dedicated to plant research, a suitable way to increase throughput is by reducing the time of data acquisition per plant sample.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Design of Long-Distance Tracer Transport Experiments in Plants

2018

View full text Add to dashboard Cite

Studies of long-distance transport of tracer isotopes in plants offer a high potential for functional phenotyping, but so far measurement time is a bottleneck because continuous time series of at least 1 h are required to obtain reliable estimates of transport properties. Hence, usual throughput values are between 0.5 and 1 samples h−1. Here, we propose to increase sample throughput by introducing temporal gaps in the data acquisition of each plant sample and measuring multiple plants one after each other in a rotating scheme. In contrast to common time series analysis methods, mechanistic tracer transport models allow the analysis of interrupted time series. The uncertainties of the model parameter estimates are used as a measure of how much information was lost compared to complete time series. A case study was set up to systematically investigate different experimental schedules for different throughput scenarios ranging from 1 to 12 samples h−1. Selected designs with only a small amount of data points were found to be sufficient for an adequate parameter estimation, implying that the presented approach enables a substantial increase of sample throughput. The presented general framework for automated generation and evaluation of experimental schedules allows the determination of a maximal sample throughput and the respective optimal measurement schedule depending on the required statistical reliability of data acquired by future experiments.

show abstract

PhenoPET — results from the plant scanner

Cited by 5 publications

References 5 publications

Setup and characterisation according to NEMA NU 4 of the phenoPET scanner, a PET system dedicated for plant sciences

Setup and characterisation according to NEMA NU 4 of the phenoPET scanner, a PET system dedicated for plant sciences

Sensors for Positron Emission Tomography Applications

Model-Based Design of Long-Distance Tracer Transport Experiments in Plants

Contact Info

Product

Resources

About