Relevant bibliographies by topics / Imaging PET

Academic literature on the topic 'Imaging PET'

Author: Grafiati
Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Imaging PET"

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Li, Yumin, and Xiaohui Wang. "PET Imaging in Pancreatic Cancer." SDRP Journal of Food Science & Technology 4, no. 3 (2019): 659–69. http://dx.doi.org/10.25177/jfst.4.3.ra.493.

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Mcconathy, Jonathan, and Samuel J. Galgano. "PET Imaging." Radiologic Clinics of North America 59, no. 5 (September 2021): i. http://dx.doi.org/10.1016/s0033-8389(21)00085-3.

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Oda, et al., Keiichi. "PET Imaging." Japanese Journal of Radiological Technology 65, no. 1 (2009): 87–99. http://dx.doi.org/10.6009/jjrt.65.87.

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von Schulthess, Gustav K., and Thomas F. Hany. "Imaging and PET — PET/CTimaging." Journal de Radiologie 89, no. 3 (March 2008): 438–48. http://dx.doi.org/10.1016/s0221-0363(08)89019-1.

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Fink, J. R., M. Muzi, M. Peck, and K. A. Krohn. "Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging." Journal of Nuclear Medicine 56, no. 10 (August 20, 2015): 1554–61. http://dx.doi.org/10.2967/jnumed.113.131516.

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Nanni, Cristina, and Drew A. Torigian. "Applications of Small Animal Imaging with PET, PET/CT, and PET/MR Imaging." PET Clinics 3, no. 3 (July 2008): 243–50. http://dx.doi.org/10.1016/j.cpet.2009.01.002.

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Joseph, U. A. "Cardiac PET and PET/CT Imaging." Journal of Nuclear Medicine 49, no. 6 (May 15, 2008): 1029–30. http://dx.doi.org/10.2967/jnumed.108.050609.

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Perani, Daniela. "FDG-PET and amyloid-PET imaging." Current Opinion in Neurology 27, no. 4 (August 2014): 405–13. http://dx.doi.org/10.1097/wco.0000000000000109.

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Iyalomhe, Osigbemhe, and Michael D. Farwell. "Immune PET Imaging." Radiologic Clinics of North America 59, no. 5 (September 2021): 875–86. http://dx.doi.org/10.1016/j.rcl.2021.05.010.

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Ward, Joshua, Maria Ly, and Cyrus A. Raji. "Brain PET Imaging." PET Clinics 18, no. 1 (January 2023): 123–33. http://dx.doi.org/10.1016/j.cpet.2022.09.010.

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Dissertations / Theses on the topic "Imaging PET"

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McGinnity, Colm Joseph. "Quantitative imaging in epilepsy (PET)." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/40095.

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Introduction Epilepsy is a heterogeneous collection of neurological diseases characterised clinically by recurrent seizures. Pre-clinical models implicate derangements in ligand-gated receptor-mediated neurotransmission in seizure generation and termination. In this thesis, the author quantified activated N-methyl D-aspartate- and opioid peptide receptor availability in adults with focal epilepsy. Methods This thesis consists of three positron emission tomography (PET) studies of adults with focal epilepsy, using [18F]GE-179 (activated NMDA receptors) and [11C]diprenorphine (DPN; opioid receptors) radioligands. A novel resolution-recovery technique, Structural Functional Synergistic-Resolution Recovery (SFS-RR), was applied to pre-existing paired [11C]DPN PET datasets acquired from adults with temporal lobe epilepsy (TLE). Activated NMDA receptor availability was quantified in adults with frequent interictal epileptiform discharges (IEDs), by regional compartmental modelling and model-free voxelwise analyses. Statistical parametric mapping was used to identify significant differences in volumes-of-distribution (VT) between populations. Results [18F]GE-179 had good brain extraction with a relatively homogeneous distribution and moderately-paced kinetics in grey matter. The two brain compartments, four rate-constants model best described the radioligand's kinetics in grey matter. Global increases in [18F]GE-179 VT were seen for seven of 11 participants with frequent IEDs. Focal increases in [18F]GE-179 VT of up to nearly 24% were also identified for three of the 11 participants. A post-ictal increase in [11C]DPN VT was identified in the ipsilateral parahippocampal gyrus. Discussion This first-in-man evaluation of [18F]GE-179 evidenced several properties that are desirable in PET radioligands, but the specificity of binding requires further characterisation. The results suggest focal increases in activated NMDA receptor availability in participants with refractory focal epilepsy, and also post-ictal increases in opioid peptide availability in the parahippocampal gyrus in TLE. Both findings may have pathophysiological relevance, and illustrate the potential of quantitative ligand PET with advanced post-processing to investigate changes in inhibitory and excitatory receptor systems in the epilepsies in vivo.
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Strand, Joanna. "Affibody Molecules for PET Imaging." Doctoral thesis, Uppsala universitet, Institutionen för immunologi, genetik och patologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-259410.

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Optimization of Affibody molecules would allow for high contrast imaging of cancer associated surface receptors using molecular imaging. The primary aim of the thesis was to develop Affibody-based PET imaging agents to provide the highest possible sensitivity of RTK detection in vivo. The thesis evaluates the effect of radiolabelling chemistry on biodistribution and targeting properties of Affibody molecules directed against HER2 and PDGFRβ. The thesis is based on five published papers (I-V). Paper I. The targeting properties of maleimido derivatives of DOTA and NODAGA for site-specific labelling of a recombinant HER2-binding Affibody molecule radiolabelled with 68Ga were compared in vivo. Favourable in vivo properties were seen for the Affibody molecule with the combination of 68Ga with NODAGA. Paper II. The aim was to compare the biodistribution of 68Ga- and 111In-labelled HER2-targeting Affibody molecules containing DOTA, NOTA and NODAGA at the N-terminus. This paper also demonstrated favourable in vivo properties for Affibody molecules in combination with 68Ga and NODAGA placed on the N-terminus. Paper III.  The influence of chelator positioning on the synthetic anti-HER2 affibody molecule labelled with 68Ga was investigated. The chelator DOTA was conjugated either at the N-terminus, the middle of helix-3 or at the C-terminus of the Affibody molecules. The N-terminus placement provided the highest tumour uptake and tumour-to-organ ratios. Paper IV. The aim of this study was to evaluate if the 68Ga labelled PDGFRβ-targeting Affibody would provide an imaging agent suitable for PDGFRβ visualization using PET. The 68Ga labelled conjugate provided high-contrast imaging of PDGFRβ-expressing tumours in vivo using microPET as early as 2h after injection. Paper V. This paper investigated if the replacement of IHPEM with IPEM as a linker molecule for radioiodination of Affibody molecules would reduce renal retention of radioactivity. Results showed that the use of the more lipophilic linker IPEM reduced the renal radioactivity retention for radioiodinated Affibody molecules. In conclusion, this thesis clearly demonstrates that the labelling strategy is of great importance with a substantial influence on the targeting properties of Affibody molecules and should be taken under serious considerations when developing new imaging agents.
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ALCHERA, NICOLA. "Data harmonization in PET imaging." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1049735.

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Medical imaging physics has advanced a lot in recent years, providing clinicians and researchers with increasingly detailed images that are well suited to be analyzed with a quantitative approach typical of hard sciences, based on measurements and analysis of clinical interest quantities extracted from images themselves. Such an approach is placed in the context of quantitative imaging. The possibility of sharing data quickly, the development of machine learning and data mining techniques, the increasing availability of computational power and digital data storage which characterize this age constitute a great opportunity for quantitative imaging studies. The interest in large multicentric databases that gather images from single research centers is growing year after year. Big datasets offer very interesting research perspectives, primarily because they allow to increase statistical power of studies. At the same time, they raised a compatibility issue between data themselves. Indeed images acquired with different scanners and protocols could be very different about quality and measures extracted from images with different quality might be not compatible with each other. Harmonization techniques have been developed to circumvent this problem. Harmonization refers to all efforts to combine data from different sources and provide users with a comparable view of data from different studies. Harmonization can be done before acquiring data, by choosing a-priori appropriate acquisition protocols through a preliminary joint effort between research centers, or it can be done a-posteriori i.e. images are grouped into a single dataset and then any effects on measures caused by technical acquisition factors are removed. Although the a-priori harmonization guarantees best results, it is not often used for practical and/or technical reasons. In this thesis I will focus on a-posteriori harmonization. It is important to note that when we consider multicentric studies, in addition to the technical variability related to scanners and acquisition protocols, there may be a demographic variability that makes single centers samples not statistically equivalent to each other. The wide individual variability that characterize human beings, even more pronounced when patients are enrolled from very different geographical areas, can certainly exacerbate this issue. In addition, we must consider that biological processes are complex phenomena: quantitative imaging measures can be affected by numerous confounding demographic variables even apparently unrelated to measures themselves. A good harmonization method should be able to preserve inter-individual variability and remove at the same time all the effects due acquisition technical factors. Heterogene ity in acquisition together with a great inter-individual variability make harmonization very hard to achieve. Harmonization methods currently used in literature are able to preserve only the inter-subjects variability described by a set of known confounding variables, while all the unknown confounding variables are wrongly removed. This might lead to incorrect harmonization, especially if the unknown confounders play an important role. This issue is emphasized in practice, as sometimes happens that demographic variables that are known to play a major role are unknown. The final goal of my thesis is a proposal for an harmonization method developed in the context of amyloid Positron Emission Tomography (PET) which aim to remove the effects of variability induced by technical factors and at the same time are able to keep all the inter-individual differences. Since knowing all the demographic confounders is almost impossible, both practically and a theoretically, my proposal does not require the knowledge of these variables. The main point is to characterize image quality through a set of quality measures evaluated in regions of interest (ROIs) which are required to be as independent as possible from anatomical and clinical variability in order to exclusively highlight the effect of technical factors on images texture. Ideally, this allows to decouple the between-subjects variability from the technical ones: the latter can be directly removed while the former is automatically preserved. Specifically, I defined and validated 3 quality measures based on images texture properties. In addition I used a quality metric already existing, and I considered the reconstruction matrix dimension to take into account image resolution. My work has been performed using a multicentric dataset consisting of 1001 amyloid PET images. Before dealing specifically with harmonization, I handled some important issues: I built a relational database to organize and manage data and then I developed an automated algorithm for images pre-processing to achieve registration and quantification. This work might also be used in other imaging contexts: in particular I believe it could be applied in fluorodeoxyglucose (FDG) PET and tau PET. The consequences of harmonization I developed have been explored at a preliminary level. My proposal should be considered as a starting point as I mainly dealt with the issues of quality measures, while the harmonization of the variables in itself was done with a linear regression model. Although harmonization through linear models is often used, more sophisticated techniques are present in literature. It would be interesting to combine them with my work. Further investigations would be desirable in future.
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Laturra, Mariagrazia. "Imaging multimodale dell’encefalo: confronto fra co-registazione PET e MRI e imaging ibrido PET-MRI." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Fra le tecniche per lo studio dell’ imaging metabolico ci sono l’ MRI e la PET: l’ MRI fornisce informazioni strutturali e funzionali attraverso immagini caratterizzate da un’ ottima risoluzione spaziale e dalla possibilità di discriminare i vari tessuti molli: in particolare nelle applicazioni cerebrali consente di discriminare al meglio la sostanza bianca da quella grigia; la PET è una tecnica per lo studio dell' imaging metabolico molto utilizzata nella pratica clinica data la sua alta sensibilità nel rilevamento del tracciante e la sua capacità di quantificazione della sua distribuzione con una risoluzione spaziale che però è inferiore all’ MRI. La combinazione di dati eterogenei acquisiti con le due diverse metodiche permette di ottenere informazioni complementari di aiuto sia per la diagnosi clinica che per lo studio dei meccanismi patologici alla base di molte patologie. La combinazione è possibile utilizzando due approcci: attraverso la co-registrazione dei due tipi di immagini che permette di fondere insieme le informazioni provenienti da uno stesso paziente, acquisite in due sessioni distinte di PET e MR, via software o attraverso l’ uso di scanner ibridi che integrano le due modalità in un unico sistema hardware. Mentre da un punto di vista economico i moderni scanner ibridi risultano più onerosi, d’ altro canto permettono di ottenere performance migliori e di diminuire sia le tempistiche legate al post-processing dei dati acquisiti che la durata della scansione, migliorando il comfort del paziente. In questa tesi sono analizzati i due approcci di combinazione attraverso il confronto fra la procedura di co-registrazione e le acquisizioni di imaging ibrido PET-MR. Le due metodiche sono analizzate sotto il profilo tecnico-fisico e della procedura di post-processing dei dati acquisiti, valutando anche l' aspetto economico, logistico e di comfort del paziente e le prospettive future che potrebbero migliorare entrambi gli approcci.
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Hussain, Shabbir. "A Simple PET Imaging Educational Demonstrator." Thesis, KTH, Skolan för teknik och hälsa (STH), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107198.

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Recent interests in computer based tools and simulations for PET imaging studies have been a leading source for many new developments. A strong emphasis in these studies has been to improve and optimize the PET scanners for better image quality and quantification of related system parameters. In this project, an attempt has been made to develop a Matlab tool intended to be of educational nature for new students where one can perform demonstration of PET-like imaging in a simple and quick way. This demonstration tool utilizes a high resolution, voxel based digital brain (Zubal) phantom as a primary study object. A tumor of specific size is defined by the user on a chosen slice of the phantom. The output images from this tool show the exact location of the predefined tumor. The algorithm attempts to estimate the positron emission direction, positron range distribution and photon detection in a circular geometry. Additional attempt has been made to estimate certain statistical parameters against a specific amount of radiotracer uptake. These include spatial resolution, photons count, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the ultimate PET image. Dependence of these estimated results by the tool on different system input parameters has been studied.
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Li, Ying. "Applying aryltrifluoroborates as PET imaging agents." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/40298.

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This dissertation is focused on applying aryltrifluoroborates (ArBF₃s) as PET imaging agents. Several aspects of this new ¹⁸F-labeling technique are addressed. These include the hydrolytic stability of heteroaryltrifluoroborates (HetArBF₃s), the fluoridation of arylboronic acids/esters and the radiosyntheses of several ¹⁸F-ArBF₃ labeled biomolecules for potential PET imaging applications. The solvolysis of several N-HetArBF₃s under physiological conditions was studied with ¹⁹F NMR spectroscopy in Chapter 2. All the N-HetArBF₃s tested therein displayed excellent solvolytic stability under physiological conditions. It is expected that these HetArBF₃s can be further applied as ¹⁸F-labeled PET imaging agents. In Chapter 3, a rapid fluoridation was carried out under conditions with low fluoride concentrations in a short reaction time (~ one hour). Via TLC-fluorescent densitometry, ¹⁹F NMR spectroscopy, and radio-HPLC, the fluoridation of different arylboronic acids/esters was investigated. It was found that the fluoridation occurs relatively rapidly in the presence of 3 to 5 equivalents of fluoride in acidic aqueous CH₃CN at room temperature. Under such conditions, radiochemical yields of 20-30% can be achieved. It was also noticed that arylboronates with acid-sensitive protecting groups could undergo fluoridations rapidly comparable to the arylboronic acids. In Chapter 4, marimastat, an MMP inhibitor, was labeled with an ¹⁸F-ArBF₃ to image breast cancer in mice. An unoptimized isolated radiochemical yield of ~ 1.5% and specific activities of 0.179 and 0.396 Ci/µmol were obtained within two hours including packaging. The blocking experiment suggested that the tumor uptake of Mar-¹⁸F-ArBF₃ was MMP specific. This one-step aqueous fluoridation was also applied to label a urea-based PSMA inhibitor (Chapter 5) and RGD-containing cyclopeptides (Chapter 8). Radiochemical yields ranging from 10% to 25% were obtained within one hour and good HPLC separation was achieved. In addition, a one-pot two-step labeling strategy was developed in Chapter 6 to label acid-sensitive biomolecules with ¹⁸F-ArBF₃s. The copper(I) catalyzed 1,3-dipolar cycloaddition was successfully used to conjugate ¹⁸F-ArBF₃s with biomolecules including oligonucleotides (Chapter 6), folate (Chapter 7), and a cyclic RGD-peptide (Chapter 8) with radiochemical yields of 20-30% over two steps in one hour.
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Omar, Ahmed M. "Dynamic imaging with gamma camera PET." Thesis, University of Aberdeen, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421358.

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In this thesis we consider the task of dynamic imaging using a gcPET system. Our technique is based on a mathematical method (developed for SPECT), which processes all dynamic projection data simultaneously instead of reconstructing a series of static images individually.  The algorithm was modified to account for the extra data that is obtained with gcPET (compared with SPECT).  The method was tested using simulated projection data for both a SPECT and a gcPET geometry.  These studies showed the ability of the code to reconstruct simulated data with a varying range of half-lives.  For SEPCT data the characteristic parameters of half-life (T1/2) and initial activity (A0) were reconstructed with a percentage error of 35.1%, and 40.8% (at 50 iterations) for a 2 minutes half-life, respectively.  The reconstruction of gcPET data showed improvement in half-life and activity compared to SPECT data by 27% and 31%, respectively (at 50 iterations). The method was also extended to enable reconstruction of images in which some regions increased in activity while other regions decreased.  Information of the spatial location of these images was provided in the form of a mask. The method was applied to experimental data.  These data were acquired using a dPET system and re-binned to the gcPET geometry.  The results, obtained from dynamic phantoms, showed that the characteristic behaviour could be recovered and that the code produced satisfactory dynamic images.  The method was also applied to data from a patient with a tumour.  Again, the reconstructed image showed good results compared to the dPET reconstruction.  Time activity curves showed a significant difference between the uptake of tumour and myocardium. Finally, we presented a method to deal with the situation where the activity in certain pixels decreases and then increases during the acquisition.
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Evans, Helen. "Bioorthogonal chemistry for pretargeted PET imaging." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24542.

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Positron Emission Tomography (PET) is emerging as a powerful method for imaging cancer through the design and development of new radiotracers. Antibodies have promising properties as ligands for targeting cancer, as they have the advantage of displaying high affinity for their respective receptors. However, the use of antibodies as radiotracers is limited to the use of long-lived isotopes, as these large biomolecules additionally display slow blood circulation and clearance. The use of short-lived isotopes such as 18F or 68Ga, in combination with antibodies, would provide the ideal balance between targetability and clearance. This may be achieved by use of a two-step pretargeting strategy, whereby a reactive tag is conjugated to the antibody and allowed to localise in the tissue to be imaged, before systemic administration of a chemical reporter (e.g. a labelled reactive partner) which allows the 'pretargeted' tissue to be imaged. The Strain-Promoted Azide/Alkyne Cycloaddition (SPAAC) reaction between cyclooctynes and azides was evaluated as an appropriate bioorthogonal reaction for application to a pretargeting strategy using short-lived isotopes. The synthesis of a library of cyclooctyne precursors was carried out, which were evaluated in terms of their reactivity with azides, and their suitability for in vivo applications. An 18F-labelled version of the SPAAC reaction was developed, demonstrating the ability of the reaction to be carried out under different conditions. This model reaction was translated to in vivo pretargeting using a cyclooctyne modified Herceptin monoclonal antibody and an 18F-labelled azide. These initial experiments indicated that the SPAAC reaction may not be fast enough to occur at the low concentrations which are found in vivo. The reaction was thoroughly examined in terms of kinetics at different concentrations, and a high concentration-dependence upon rate of reaction was confirmed. This was supported by a 68Ga-labelled SPAAC reaction, which was carried out using reportedly more reactive cyclooctynes than those used in the initial experiments. In general, the reaction showed a greater preference to be carried out in organic solvents such as acetonitrile, and under closer to physiological conditions the reactions were less likely to proceed. The Inverse-electron-Demand Diels-Alder (IeDDA) reaction between tetrazines and strained alkenes was evaluated as an alternative bioorthogonal reaction for demonstrating in vivo pretargeting. A series of 68Ga-labelled IeDDA reactions between a 68Ga-labelled tetrazine and a series of norbornene analogues demonstrated the superior reaction kinetics and biocompatibility of the IeDDA reaction. The initial translation of the IeDDA reaction to a proof-of-concept for pretargeting using cyclic RGD pentapeptides was initially unsuccessful, attributed to the surprisingly poor reactivity of norbornene-modified cyclic RGD pentapeptides towards a 68Ga-labelled tetrazine. The reaction between a 68Ga-labelled tetrazine and a Cetuximab antibody, which had been modified with the more reactive trans-cyclooctene (TCO) moeity, was successfully demonstrated. The hypothesised pretargeting strategy using this model reaction was achieved on high EGFR expressing cells, validating the IeDDA reaction in this context. These results suggested tantalising opportunities for application of the IeDDA reaction to in vivo pretargeting for PET imaging using short-lived isotopes such as 18F and 68Ga.
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Weirich, Christoph Peter [Verfasser]. "Quantitative PET imaging with hybrid MR-PET scanners / Christoph Peter Weirich." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2014. http://d-nb.info/1052299563/34.

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Weirich, Christoph [Verfasser]. "Quantitative PET imaging with hybrid MR-PET scanners / Christoph Peter Weirich." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2014. http://nbn-resolving.de/urn:nbn:de:hbz:82-opus-50383.

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Books on the topic "Imaging PET"

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Agrawal, Kanhaiyalal, Annah Skillen, Abdulredha Esmail, and Sharjeel Usmani, eds. PET/CT Imaging. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-75476-1.

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Gupta, Rajesh, Robert Matthews, Lev Bangiyev, Dinko Franceschi, and Mark Schweitzer. PET/MR Imaging. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65106-4.

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Charron, Martin, ed. Pediatric PET Imaging. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-34641-4.

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1953-, Challa Sudha, and Society of Nuclear Medicine (1953- ), eds. PET tumor imaging. Reston, Va: Society of Nuclear Medicine, 1999.

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Alavi, Abass, and Hongming Zhuang. Pediatric PET imaging. Philadelphia, Pa: Saunders, 2008.

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Musculoskeletal PET imaging. Philadelphia, Pa: Saunders, 2010.

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Di Carli, Marcelo F., and Martin J. Lipton, eds. Cardiac PET and PET/CT Imaging. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-38295-1.

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Walter, Heindel, and Schober Otmar, eds. PET-CT hybrid imaging. 2nd ed. Stuttgart: Thieme, 2010.

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Saha, Gopal B. Basics of PET Imaging. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-0805-6.

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Saha, PhD, Gopal B. Basics of PET Imaging. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16423-6.

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Book chapters on the topic "Imaging PET"

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Inglese, Matilde, and Maria Petracca. "PET Imaging." In Encyclopedia of Clinical Neuropsychology, 2666–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_9080.

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McAllister-Williams, R. Hamish, Daniel Bertrand, Hans Rollema, Raymond S. Hurst, Linda P. Spear, Tim C. Kirkham, Thomas Steckler, et al. "PET Imaging." In Encyclopedia of Psychopharmacology, 994. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_5003.

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Lu, Jie. "PET Imaging." In Imaging of CNS Infections and Neuroimmunology, 11–13. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6904-9_3.

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Inglese, Matilde, and Maria Petracca. "PET Imaging." In Encyclopedia of Clinical Neuropsychology, 1–2. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_9080-2.

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Di Fazio, Pasquale. "PET Imaging." In Imaging Gliomas After Treatment, 59–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31210-7_9.

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Luminari, Stefano, and Judith Trotman. "PET Imaging." In Hematologic Malignancies, 41–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55989-2_4.

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Gamie, Shereif H., Ella Yevdayev, Aarti Kaushik, and Hollie A. Lai. "Pediatric Imaging." In PET-CT, 231–67. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4419-5811-2_14.

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Aparici, Carina Mari, and Randy A. Hawkins. "PET/CT." In Abdominal Imaging, 751–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13327-5_152.

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Dobrucki, Lawrence W., and Albert J. Sinusas. "Imaging of Angiogenesis." In Cardiac PET and PET/CT Imaging, 394–411. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-38295-1_26.

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Murakami, Koji. "Diagnostic Imaging: PET/CT(PET)." In Esophageal Squamous Cell Carcinoma, 63–70. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4190-2_4.

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Conference papers on the topic "Imaging PET"

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Ouksili, Z., C. Tauber, J. Nalis, H. Batatia, O. Caselles, and F. Courbon. "Indirect PET-PET image registration to monitor lung cancer tumor." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.707912.

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MILLER, M. A., N. C. ROUZE, and G. D. HUTCHINS. "SMALL ANIMAL PET IMAGING." In Proceedings of the 8th Conference. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702708_0057.

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Davis, P. B., and M. A. Abidi. "Enhancement of PET Images." In 1989 Medical Imaging, edited by Samuel J. Dwyer III, R. Gilbert Jost, and Roger H. Schneider. SPIE, 1989. http://dx.doi.org/10.1117/12.953301.

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Lei, Yang, Tonghe Wang, Xue Dong, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathan A. Nye, and Xiaofeng Yang. "PET attenuation correction (AC) using non-AC PET-based synthetic CT." In Physics of Medical Imaging, edited by Hilde Bosmans and Guang-Hong Chen. SPIE, 2020. http://dx.doi.org/10.1117/12.2548468.

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Gifford, Howard C., R. G. Wells, and Michael A. King. "LROC analysis of human detection performance in PET and time-of-flight PET." In Medical Imaging '99, edited by Elizabeth A. Krupinski. SPIE, 1999. http://dx.doi.org/10.1117/12.349641.

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Xie, Qingguo, Chien-Min Kao, Rongsheng Xia, Xi Wang, Na Li, Xin Jiang, Li Zhi, Zhi Zhang, Zhonghua Deng, and Chin-Tu Chen. "A simple all-digital PET system." In Medical Imaging, edited by Jiang Hsieh and Michael J. Flynn. SPIE, 2007. http://dx.doi.org/10.1117/12.713846.

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Rajagopal, Abhejit, Nicholas Dwork, Thomas A. Hope, and Peder E. Z. Larson. "Enhanced PET/MRI reconstruction via dichromatic interpolation of domain-translated zero-dose PET." In Physics of Medical Imaging, edited by Hilde Bosmans, Wei Zhao, and Lifeng Yu. SPIE, 2021. http://dx.doi.org/10.1117/12.2580915.

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Ouyang, Jinsong, Yoann Petibon, Chuan Huang, Timothy G. Reese, Aleksandra L. Kolnick, and Georges El Fakhri. "Quantitative simultaneous PET-MR imaging." In SPIE Defense + Security, edited by Thomas George, M. Saif Islam, and Achyut K. Dutta. SPIE, 2014. http://dx.doi.org/10.1117/12.2051578.

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Bal, Girish, Vladimir Panin, Matthew Restivo, John Young, Curtis Howe, and Frank Kehren. "Organ Specific PET-CT Imaging." In 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2020. http://dx.doi.org/10.1109/nss/mic42677.2020.9507756.

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Lecomte, Roger, Carlos Granja, Claude Leroy, and Ivan Stekl. "Biomedical Imaging: SPECT and PET." In Nuclear Physics Medthods and Accelerators in Biology and Medicine. AIP, 2007. http://dx.doi.org/10.1063/1.2825759.

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Reports on the topic "Imaging PET"

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Louie, Angelique. Multimodal Nanomaterials for PET/MRI/optical imaging. Office of Scientific and Technical Information (OSTI), July 2014. http://dx.doi.org/10.2172/1136878.

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Gelovani, Juri G. PET imaging of adoptive progenitor cell therapies. Office of Scientific and Technical Information (OSTI), May 2008. http://dx.doi.org/10.2172/928064.

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Dannoon, Shorouk F. Phosphoramidate-based Peptidomimetic Prostate Cancer PET Imaging Agents. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada583376.

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Ding, Yu-Shin. PET Imaging of Estrogen Metabolism in Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada424080.

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Dannoon, Shorouk F. Phosphoramidate-based Peptidomimetic Prostate Cancer PET Imaging Agents. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada592878.

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Huber, Jennifer S. Dual-Modality Prostate Imaging with PET and Transrectal Ultrasound. Fort Belvoir, VA: Defense Technical Information Center, April 2009. http://dx.doi.org/10.21236/ada505160.

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Choi, Julia. PET Imaging of a Marker for Breast Cancer Metastasis. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada520724.

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Mathis, CA. Development of [F-18]-Labeled Amyloid Imaging Agents for PET. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/903085.

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Gambhir, Sanjiv S. New Gene Based Probes for Imaging Breast Cancer with PET. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada399369.

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Schlyer, David, and Michael Furey. Development of PET Imaging Insert for Aurora Breast MRI System. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1095918.

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