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| Hauptseite > Publikationsdatenbank > Imaging of Plants with MRI and the dedicated PET scanner phenoPET > print |
| Hauptseite > Publikationsdatenbank > Imaging of Plants with MRI and the dedicated PET scanner phenoPET > print |
| 001 | 826975 | ||
| 005 | 20250129092441.0 | ||
| 037 | _ | _ | |a FZJ-2017-01182 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Streun, M. |0 P:(DE-Juel1)133944 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a PET/MR and SPECT/MR 2016 |g PSMR 2016 |c Köln |d 2016-05-23 - 2016-05-25 |w Germany |
| 245 | _ | _ | |a Imaging of Plants with MRI and the dedicated PET scanner phenoPET |
| 260 | _ | _ | |c 2016 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 520 | _ | _ | |a ABSTRACTWithin the German Plant Phenotyping Network (DPPN), we develop Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) as two modalities enabling a noninvasive observation of the three-dimensional structural and functional properties of roots grown in soil. The MRI System is a 4.7T modified small animal scanner (Varian) and produces 3D images with a high root to soil contrast [1]. A user-friendly data processing pipeline has been established to extract quantitative information out of these 3D MRI images [2]. Functional information on carbon transport within intact root systems can be obtained by positron emission tomography. Radioactively labelled [11C]-CO2 is taken up by photosynthesis and labelled carbon is transported into the root system. In order to characterize these transport mechanisms the new PET system phenoPET has been developed in cooperation with Philips Digital Photon Counting (PDPC). The scanner employs LYSO scintillators of 1.85×1.85×10 mm3 and digital SiPM arrays as photo detectors (DPC3200-22-44, PDPC) [3] which are arranged in three stacked rings [4]. The field of view measures 18 cm in diameter and 20 cm of axial height. The phenoPET system has been assembled and very first plant images have been obtained using the PET image reconstruction software PRESTO [5]. For a quantitative reconstruction of an arbitrary 3D tracer distribution several correction steps still need to be implemented. Thus, the phenoPET is expected to be available for plant measurements by mid 2016.Combining both modalities for a non-invasive structural (MRI) and functional (PET) observation of roots grown in soil may accelerate trait identification of resource efficient roots. REFERENCES[1] Jahnke et al., “Combined MRI–PET dissects dynamic changes in plant structures and functions”, The Plant Journal 59, 634–644 (2009)[2] D. van Dusschoten et al. „Quantitative 3D Analysis of Plant Roots growing in Soil using Magnetic Resonance Imaging”, Plant Physiology DOI:10.1104/pp.15.01388 (2016)[3] Y. Haemisch, T. Frach, C. Degenhardt, and A. Thon, "Fully Digital Arrays of Silicon Photomultipliers (dSiPM) – a Scalable Alternative to Vacuum Photomultiplier Tubes (PMT)." Physics Procedia 37, 1546 (2012)[4] M. Streun et al., “phenoPET: A dedicated PET Scanner for Plant Research based on digital SiPMs (DPCs)”, NSS/MIC 2014, Seattle, Conf. Rec. M11-18 (2014)[5] Scheins, J., et al., Fully-3D PET Image Reconstruction Using Scanner-Independent, Adaptive Projection Dara and Highly Rotation-Symmetric Voxel Assemblies, IEEE Transaction on Medical Imaging, Vol. 30, No. 3, Mar 2011, pp. 879-892 |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |f POF III |x 0 |
| 536 | _ | _ | |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A) |0 G:(DE-Juel1)BMBF-031A053A |c BMBF-031A053A |f Deutsches Pflanzen Phänotypisierungsnetzwerk |x 1 |
| 700 | 1 | _ | |a Pflugfelder, D. |0 P:(DE-Juel1)131784 |b 1 |u fzj |
| 700 | 1 | _ | |a van Dusschoten, D. |0 P:(DE-Juel1)129425 |b 2 |u fzj |
| 700 | 1 | _ | |a Erven, A. |0 P:(DE-Juel1)130632 |b 3 |u fzj |
| 700 | 1 | _ | |a Jokhovets, L. |0 P:(DE-Juel1)156472 |b 4 |u fzj |
| 700 | 1 | _ | |a Kochs, J. |0 P:(DE-Juel1)129346 |b 5 |u fzj |
| 700 | 1 | _ | |a Metzner, R. |0 P:(DE-Juel1)129360 |b 6 |u fzj |
| 700 | 1 | _ | |a Nöldgen, H. |0 P:(DE-Juel1)133922 |b 7 |u fzj |
| 700 | 1 | _ | |a Koller, R. |0 P:(DE-Juel1)165733 |b 8 |u fzj |
| 700 | 1 | _ | |a Scheins, J. |0 P:(DE-Juel1)131791 |b 9 |u fzj |
| 700 | 1 | _ | |a Postma, Johannes Auke |0 P:(DE-Juel1)144879 |b 10 |u fzj |
| 700 | 1 | _ | |a Bühler, J. |0 P:(DE-Juel1)5963 |b 11 |u fzj |
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| 700 | 1 | _ | |a Jahnke, S. |0 P:(DE-Juel1)129336 |b 13 |u fzj |
| 700 | 1 | _ | |a van Waasen, Stefan |0 P:(DE-Juel1)142562 |b 14 |u fzj |
| 700 | 1 | _ | |a Schurr, U. |0 P:(DE-Juel1)129402 |b 15 |u fzj |
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