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Relevant bibliographies by topics / PET imaging data / Dissertations / Theses

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Dissertations / Theses on the topic 'PET imaging data'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

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

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2

Williamitis, Joseph M. "Using fMRI BOLD Imaging to Motion-Correct Associated, Simultaneously Imaged PET Data." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1620585748146734.

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3

Chen, Kevin Tze-Hsiang. "MR-assisted PET data optimization for simultaneous dual-modality imaging in dementia." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111254.

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Thesis: Ph. D. in Medical Engineering and Medical Physics, Harvard-MIT Program in Health Sciences and Technology, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 147-155).<br>Recent advances have allowed the hardware integration of positron emission tomography (PET) and magnetic resonance imaging (MRI). The spatiotemporally correlated data acquisition opened up opportunities for numer

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4

Vandervoort, Eric. "Improving attenuation corrections obtained using singles-mode transmission data in small-animal PET." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/608.

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The images in positron emission tomography (PET) represent three dimensional dynamic distributions of biologically interesting molecules labelled with positron emitting radionuclides (radiotracers). Spatial localisation of the radio-tracers is achieved by detecting in coincidence two collinear photons which are emitted when the positron annihilates with an ordinary electron. In order to obtain quantitatively accurate images in PET, it is necessary to correct for the effects of photon attenuation within the subject being imaged. These corrections can be obtained using singles-mode photon transm

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5

Perrin, Rosalind Lucy. "The application of PET/CT imaging data to external beam radiotherapy planning in lung cancer." Thesis, Institute of Cancer Research (University Of London), 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538270.

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6

Rane, Lukas, and Henrik Runeskog. "Calculating Center of Mass Using List Mode Data from PET Biograph128 mCT-1104." Thesis, KTH, Medicinteknik och hälsosystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-256084.

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A common problem within positron emission tomography examinations of the brain is the motion of the patient. If the patients ́ head moves during an examination all the data acquired after the movement will not be suited for clinical use. This means that a lot of data recovered from PET is not used at all. Motion tracking during PET acquisitions of the brain is not a well explored issue within medical imaging in relation to the magnitude of the problem. Due to the radiation risks of the examination and the logistics at the hospital, a second acquisition is not preferred. Therefore a method to a

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7

Yazdan, Panah Arya. "Integrating imaging biomarkers and genetic data to explore the pathophysiology of multiple sclerosis." Electronic Thesis or Diss., Sorbonne université, 2025. http://www.theses.fr/2025SORUS030.

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La sclérose en plaques (SEP) est une maladie chronique, inflammatoire et neurodégénérative du système nerveux central, caractérisée par une démyélinisation et des lésions des voies neuronales dans le cerveau et la moelle épinière. Bien que des avancées significatives aient été réalisées dans le traitement de la composante auto-immune de la SEP, l'approche de sa composante neurodégénérative reste un défi majeur. Cette thèse vise à développer de nouveaux biomarqueurs pour explorer la physiopathologie de la SEP, dans le but de mieux comprendre les mécanismes de la maladie et de soutenir le dévelo

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8

Wang, Chengjia. "Development of registration methods for cardiovascular anatomy and function using advanced 3T MRI, 320-slice CT and PET imaging." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22918.

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Different medical imaging modalities provide complementary anatomical and functional information. One increasingly important use of such information is in the clinical management of cardiovascular disease. Multi-modality data is helping improve diagnosis accuracy, and individualize treatment. The Clinical Research Imaging Centre at the University of Edinburgh, has been involved in a number of cardiovascular clinical trials using longitudinal computed tomography (CT) and multi-parametric magnetic resonance (MR) imaging. The critical image processing technique that combines the information from

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9

Besson, Florent. "Integrating PET-MR data for a multiparametric approach of tumour heterogeneity in non-small-cell lung cancer (NSCLC)." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASS081.

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L'hétérogénéité tumorale est un facteur important de progression et de résistance au traitement. L'imagerie multiparamétrique TEP-IRM offre des opportunités uniques de caractérisation biologique cellulaire, mais n’a jamais été évalué à l’échelle régionale intra-tumorale dans le cancer du poumon non à petites cellules (CBNPC), première cause de décès oncologique. Une approche multiparamétrique dynamique simultanée TEP-IRM au 18F-FDG a été développée en ce sens. Cette approche a nécessité l’implémentation « maison » de la méthode de référence de quantification TEP du métabolisme glucidique (modè

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10

Martens, Corentin. "Patient-Derived Tumour Growth Modelling from Multi-Parametric Analysis of Combined Dynamic PET/MR Data." Doctoral thesis, Universite Libre de Bruxelles, 2021. https://dipot.ulb.ac.be/dspace/bitstream/2013/320127/5/contratCM.pdf.

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Gliomas are the most common primary brain tumours and are associated with poor prognosis. Among them, diffuse gliomas – which include their most aggressive form glioblastoma (GBM) – are known to be highly infiltrative. The diagnosis and follow-up of gliomas rely on positron emission tomography (PET) and magnetic resonance imaging (MRI). However, these imaging techniques do not currently allow to assess the whole extent of such infiltrative tumours nor to anticipate their preferred invasion patterns, leading to sub-optimal treatment planning. Mathematical tumour growth modelling has been propos

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11

El, Azami Meriem. "Computer aided diagnosis of epilepsy lesions based on multivariate and multimodality data analysis." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI087/document.

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Environ 150.000 personnes souffrent en France d'une épilepsie partielle réfractaire à tous les médicaments. La chirurgie, qui constitue aujourd’hui le meilleur recours thérapeutique nécessite un bilan préopératoire complexe. L'analyse de données d'imagerie telles que l’imagerie par résonance magnétique (IRM) anatomique et la tomographie d’émission de positons (TEP) au FDG (fluorodéoxyglucose) tend à prendre une place croissante dans ce protocole, et pourrait à terme limiter de recourir à l’électroencéphalographie intracérébrale (SEEG), procédure très invasive mais qui constitue encore la techn

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12

Rückert, Nadja. "Studies on two specific inverse problems from imaging and finance." Doctoral thesis, Universitätsbibliothek Chemnitz, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-91587.

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This thesis deals with regularization parameter selection methods in the context of Tikhonov-type regularization with Poisson distributed data, in particular the reconstruction of images, as well as with the identiﬁcation of the volatility surface from observed option prices. In Part I we examine the choice of the regularization parameter when reconstructing an image, which is disturbed by Poisson noise, with Tikhonov-type regularization. This type of regularization is a generalization of the classical Tikhonov regularization in the Banach space setting and often called variational regulariza

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13

Alberi, Matteo. "La PCA per la riduzione dei dati di SPHERE IFS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6563/.

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Nel primo capitolo di questa tesi viene presentata una panoramica dei principali metodi di rivelazione degli esopianeti: il metodo della Velocità Radiale, il metodo Astrometrico, il metodo del Pulsar Timing, il metodo del Transito, il metodo del Microlensing ed infine il metodo del Direct Imaging che verrà approfondito nei capitoli successivi. Nel secondo capitolo vengono presentati i principi della diffrazione, viene mostrato come attenuare la luce stellare con l'uso del coronografo; vengono descritti i fenomeni di aberrazione della luce provocati dalla strumentazione e dagli effetti distorsi

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14

Lian, Chunfeng. "Information fusion and decision-making using belief functions : application to therapeutic monitoring of cancer." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2333/document.

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La radiothérapie est une des méthodes principales utilisée dans le traitement thérapeutique des tumeurs malignes. Pour améliorer son efficacité, deux problèmes essentiels doivent être soigneusement traités : la prédication fiable des résultats thérapeutiques et la segmentation précise des volumes tumoraux. La tomographie d’émission de positrons au traceur Fluoro- 18-déoxy-glucose (FDG-TEP) peut fournir de manière non invasive des informations significatives sur les activités fonctionnelles des cellules tumorales. Les objectifs de cette thèse sont de proposer: 1) des systèmes fiables pour prédi

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15

Onyeako, Isidore. "Resolution-aware Slicing of CAD Data for 3D Printing." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34303.

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3D printing applications have achieved increased success as an additive manufacturing (AM) process. Micro-structure of mechanical/biological materials present design challenges owing to the resolution of 3D printers and material properties/composition. Biological materials are complex in structure and composition. Efforts have been made by 3D printer manufacturers to provide materials with varying physical, mechanical and chemical properties, to handle simple to complex applications. As 3D printing is finding more medical applications, we expect future uses in areas such as hip replacement - w

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16

Salem, Mostafa. "Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images." Doctoral thesis, Universitat de Girona, 2020. http://hdl.handle.net/10803/668990.

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This thesis is focused on developing novel and fully automated methods for the detection of new multiple sclerosis (MS) lesions in longitudinal brain magnetic resonance imaging (MRI). First, we proposed a fully automated logistic regression-based framework for the detection and segmentation of new T2-w lesions. The framework was based on intensity subtraction and deformation field (DF). Second, we proposed a fully convolutional neural network (FCNN) approach to detect new T2-w lesions in longitudinal brain MR images. The model was trained end-to-end and simultaneously learned both the DFs

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17

Sun, Hongwei. "An improved positron emission tomography (PET) reconstruction of 2D activity distribution using higher order scattered data." 2016. http://hdl.handle.net/1993/31782.

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Positron Emission Tomography (PET) images reconstructed without adequate scatter corrections introduce noise and degrade image contrast. In commercial imaging systems, misalignment between computed tomography (CT) and PET images can introduce biases in the activity distribution. Recently, several reconstruction algorithms have been proposed, which made direct use of single scattered photons in the activity reconstruction. However, the realistic dataset contains single and higher order scattered photons, and current scatter reconstruction methods do not distinguish them. In this study, a novel

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18

Hsieh, Chia Ju, and 謝佳儒. "Study on data quantization of VMAT2 imaging in PET for Parkinson’s disease and comparison to DAT imaging in SPECT." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/33455159943680773243.

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碩士<br>長庚大學<br>醫學影像暨放射科學系<br>98<br>18F-AV-133 is a novel PET tracer for imaging the vesicular monoamine transporter 2 (VMAT2) in dopaminergic neuron degeneration of Parkinson diseases (PD) and is expected with more diagnosis power as compared to conventional SPECT tracer for DAT（dopamine transporter, DAT） imaging including 99mTc-TRODAT. Before the wide application in clinical trials, the optimization of scanning protocol and data quantitation for 18F-AV-133 is necessary to guarantee optimal diagnosis power in differentiation of PD from normal controls. This thesis is aimed to study the optima

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19

Nguyen, Hoan. "Characterizing the symmetry of amyloid beta protein retention in Alzheimer's disease using florbetapir positron emission tomography - a study using data from the Alzheimer's disease neuroimaging initiative." Thesis, 2014. https://hdl.handle.net/2144/14667.

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Progression of Alzheimer's disease has been associated with the deposition of aggregated amyloid beta (Aβ) protein in the brain. Though first described in post-mortal tissue, the development of Aβ specific tracers for positron emission tomography (PET) permits in-vivo mapping of its distribution in the brain. One of the well-known and early-developed tracers is the Pittsburgh Compound B (PiB) (Klunk et al., 2004). However, the challenge with PiB lies in the stability of the radioisotope 11C. 11C's short half-life of only 20 minutes hinders its transportation and usage at imaging facilities tha

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20

"Deep Learning based Classification of FDG-PET Data for Alzheimer's Disease." Master's thesis, 2017. http://hdl.handle.net/2286/R.I.44112.

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abstract: Alzheimer’s Disease (AD), a neurodegenerative disease is a progressive disease that affects the brain gradually with time and worsens. Reliable and early diagnosis of AD and its prodromal stages (i.e. Mild Cognitive Impairment(MCI)) is essential. Fluorodeoxyglucose (FDG) positron emission tomography (PET) measures the decline in the regional cerebral metabolic rate for glucose, offering a reliable metabolic biomarker even on presymptomatic AD patients. PET scans provide functional information that is unique and unavailable using other types of imaging. The computational efficacy of F

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21

Yeh, Shin-Chiao, and 葉星巧. "Dynamic Animal PET Imaging Using Listmode Data and B-Spline Activity Curve Description : A Pilot Investigation." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/90052152118582741001.

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碩士<br>國立清華大學<br>生醫工程與環境科學系<br>97<br>Dynamic PET imaging based on listmode data acquisition can provide timing information of coincidence events, which permit a flexible way to sort the data into several consecutive time frames. In this work, by using the listmode data combined with B-spline representation of radio-tracer time activity curve (TAC), we proposed a maximum likelihood expectation and maximization (MLEM) to estimate the parameters of TAC curve and restore the continuous TAC curve. Such a continuous TAC curve can provide better temporal resolution for dynamic PET imaging. In this pil

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22

Morgado, Ana Margarida Rodrigues. "A multimodal toolbox for dynamic PET and MR data analysis." Master's thesis, 2016. http://hdl.handle.net/10451/25756.

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Tese de mestrado integrado em Engenharia Biomédica e Biofísica, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2016<br>A imagiologia é a especialidade médica que permite a obtenção, de forma não invasiva, de imagens de diversos órgãos e sistemas, constituindo uma ferramenta indispensável na Medicina atual. A evolução das técnicas de imagiologia médica, bem como a diversidade de metodologias, têm permitido evidentes melhorias no diagnóstico e planeamento cirúrgico e terapêutico, para além da sua contribuição para a compreensão do corpo humano. Atualmente, as técnicas de

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