Search Results - "Kinahan, P."
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TorchDIVA: An extensible computational model of speech production built on an open-source machine learning library
Published in PloS one (17-02-2023)“…The DIVA model is a computational model of speech motor control that combines a simulation of the brain regions responsible for speech production with a model…”
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Noise and signal properties in PSF-based fully 3D PET image reconstruction: an experimental evaluation
Published in Physics in medicine & biology (07-03-2010)“…The addition of accurate system modeling in PET image reconstruction results in images with distinct noise texture and characteristics. In particular, the…”
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Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data Sciences Council
Published in European journal of nuclear medicine and molecular imaging (01-01-2023)“…Purpose The purpose of this guideline is to provide comprehensive information on best practices for robust radiomics analyses for both hand-crafted and deep…”
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A Combined PET/CT Scanner for Clinical Oncology
Published in The Journal of nuclear medicine (1978) (01-08-2000)“…The availability of accurately aligned, whole-body anatomical (CT) and functional (PET) images could have a significant impact on diagnosing and staging…”
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TU‐C‐201C‐02: Physical Validation of PET/CT for Imaging as a Biomarker
Published in Medical Physics (01-06-2010)“…An expanding goal of quantitative medical imaging is it use by clinical investigators, cooperative cancer trial groups, and pharma in clinical trials of new…”
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Attenuation correction for a combined 3D PET/CT scanner
Published in Medical physics (Lancaster) (01-10-1998)“…In this work we demonstrate the proof of principle of CT-based attenuation correction of 3D positron emission tomography (PET) data by using scans of bone and…”
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Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project
Published in American journal of neuroradiology : AJNR (01-06-2018)“…Standard assessment criteria for brain tumors that only include anatomic imaging continue to be insufficient. While numerous studies have demonstrated the…”
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Evaluation of event position reconstruction in monolithic crystals that are optically coupled
Published in Physics in medicine & biology (03-11-2016)“…A PET detector featuring a pseudo-monolithic crystal is being developed as a more cost-effective alternative to a full monolithic crystal PET detector. This…”
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Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets
Published in Tomography (Ann Arbor) (01-06-2020)“…Radiomic features are being increasingly studied for clinical applications. We aimed to assess the agreement among radiomic features when computed by several…”
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Multiplexing strategies for monolithic crystal PET detector modules
Published in Physics in medicine & biology (21-09-2014)“…To reduce the number of output channels and associated cost in PET detectors, strategies to multiplex the signal channels have been investigated by several…”
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Instrumentation factors affecting variance and bias of quantifying tracer uptake with PET/CT
Published in Medical physics (Lancaster) (01-11-2010)“…Purpose: The variances and biases inherent in quantifying PET tracer uptake from instrumentation factors are needed to ascertain the significance of any…”
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Exact and approximate rebinning algorithms for 3-D PET data
Published in IEEE transactions on medical imaging (01-04-1997)“…This paper presents two new rebinning algorithms for the reconstruction of three-dimensional (3-D) positron emission tomography (PET) data. A rebinning…”
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Effective count rates for PET scanners with reduced and extended axial field of view
Published in Physics in medicine & biology (21-06-2011)“…We investigated the relationship between noise equivalent count (NEC) and axial field of view (AFOV) for PET scanners with AFOVs ranging from one-half to twice…”
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TU‐A‐141‐01: Multi Modal PET/CT Imaging for Therapy Response Early Prediction and Therapy Monitoring
Published in Medical Physics (01-06-2013)“…Monitoring a patient's response during treatment plays an important role in optimizing personalized treatment strategy. It may offer the possibility to predict…”
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Conference Proceeding Journal Article -
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Imaging and dosimetric errors in 4D PET/CT-guided radiotherapy from patient-specific respiratory patterns: a dynamic motion phantom end-to-end study
Published in Physics in medicine & biology (07-05-2015)“…Effective positron emission tomography / computed tomography (PET/CT) guidance in radiotherapy of lung cancer requires estimation and mitigation of errors due…”
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Cine CT for Attenuation Correction in Cardiac PET/CT
Published in The Journal of nuclear medicine (1978) (01-05-2007)“…In dual-modality PET/CT systems, the CT scan provides the attenuation map for PET attenuation correction. The current clinical practice of obtaining a single…”
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Evaluation of Multiclass Model Observers in PET LROC Studies
Published in IEEE transactions on nuclear science (01-02-2007)“…A localization ROC (LROC) study was conducted to evaluate nonprewhitening matched-filter (NPW) and channelized NPW (CNPW) versions of a multiclass model…”
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TU‐C‐217BCD‐01: Where Molecular Imaging Is Taking Us
Published in Medical Physics (01-06-2012)“…Molecular imaging techniques can detect abnormalities very early in the progression of a disease, often before problems can be observed with other diagnostic…”
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MO‐A‐BRA‐01: State of the Art in Quantitative Imaging in CT, PET and MRI
Published in Medical Physics (01-06-2012)“…Diagnostic Imaging is evolving from a modality where the emphasis is on the acquisition and interpretation of image data by radiologists to one where imaging…”
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Electroencephalographic Classification Reveals Atypical Speech Motor Planning in Stuttering Adults
Published in Journal of speech, language, and hearing research (09-07-2024)“…This study explores speech motor planning in adults who stutter (AWS) and adults who do not stutter (ANS) by applying machine learning algorithms to…”
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