Search Results - "Zaidi, Habib"
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Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
Published in European journal of hybrid imaging (23-09-2020)“…This brief review summarizes the major applications of artificial intelligence (AI), in particular deep learning approaches, in molecular imaging and radiation…”
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Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data
Published in Medical image analysis (01-08-2020)“…•Estimation of attenuation correction factors (ACFs) from emission data using deep learning.•Information pertinent to the attenuating medium is reflected in…”
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Towards enhanced PET quantification in clinical oncology
Published in British journal of radiology (01-01-2018)“…Positron emission tomography (PET) has, since its inception, established itself as the imaging modality of choice for the in vivo quantitative assessment of…”
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PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques
Published in European journal of nuclear medicine and molecular imaging (01-11-2010)“…Historically, anatomical CT and MR images were used to delineate the gross tumour volumes (GTVs) for radiotherapy treatment planning. The capabilities offered…”
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Projection Space Implementation of Deep Learning-Guided Low-Dose Brain PET Imaging Improves Performance over Implementation in Image Space
Published in Journal of Nuclear Medicine (01-09-2020)“…Our purpose was to assess the performance of full-dose (FD) PET image synthesis in both image and sinogram space from low-dose (LD) PET images and sinograms…”
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Impact of time-of-flight PET on quantification errors in MR imaging-based attenuation correction
Published in Journal of Nuclear Medicine (01-04-2015)“…Time-of-flight (TOF) PET/MR imaging is an emerging imaging technology with great capabilities offered by TOF to improve image quality and lesion detectability…”
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Joint Estimation of Activity and Attenuation in Whole-Body TOF PET/MRI Using Constrained Gaussian Mixture Models
Published in IEEE transactions on medical imaging (01-09-2015)“…It has recently been shown that the attenuation map can be estimated from time-of-flight (TOF) PET emission data using joint maximum likelihood reconstruction…”
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Non-local mean denoising using multiple PET reconstructions
Published in Annals of nuclear medicine (01-02-2021)“…Objectives Non-local mean (NLM) filtering has been broadly used for denoising of natural and medical images. The NLM filter relies on the redundant…”
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The promise of artificial intelligence and deep learning in PET and SPECT imaging
Published in Physica medica (01-03-2021)“…[Display omitted] •Artificial intelligence and deep learning-based solutions emerged as promising approaches pertinent to PET and SPECT imaging.•Numerous…”
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Deep learning‐guided joint attenuation and scatter correction in multitracer neuroimaging studies
Published in Human brain mapping (01-09-2020)“…PET attenuation correction (AC) on systems lacking CT/transmission scanning, such as dedicated brain PET scanners and hybrid PET/MRI, is challenging. Direct AC…”
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A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET
Published in Medical physics (Lancaster) (01-03-2010)“…Purpose: Accurate and robust image segmentation was identified as one of the most challenging issues facing PET quantification in oncological imaging. This…”
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Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging
Published in European journal of nuclear medicine and molecular imaging (01-07-2021)“…Purpose Tendency is to moderate the injected activity and/or reduce acquisition time in PET examinations to minimize potential radiation hazards and increase…”
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Depth of Interaction Estimation in a Preclinical PET Scanner Equipped with Monolithic Crystals Coupled to SiPMs Using a Deep Neural Network
Published in Applied sciences (01-07-2020)“…The scintillation light distribution produced by photodetectors in positron emission tomography (PET) provides the depth of interaction (DOI) information…”
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Whole-body voxel-based internal dosimetry using deep learning
Published in European journal of nuclear medicine and molecular imaging (01-03-2021)“…Purpose In the era of precision medicine, patient-specific dose calculation using Monte Carlo (MC) simulations is deemed the gold standard technique for…”
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DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms
Published in NeuroImage (Orlando, Fla.) (15-12-2021)“…Reducing the injected activity and/or the scanning time is a desirable goal to minimize radiation exposure and maximize patients’ comfort. To achieve this…”
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Fast dynamic brain PET imaging using stochastic variational prediction for recurrent frame generation
Published in Medical physics (Lancaster) (01-09-2021)“…Purpose We assess the performance of a recurrent frame generation algorithm for prediction of late frames from initial frames in dynamic brain PET imaging…”
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Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI
Published in NeuroImage (Orlando, Fla.) (15-04-2016)“…In quantitative PET/MR imaging, attenuation correction (AC) of PET data is markedly challenged by the need of deriving accurate attenuation maps from MR…”
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Clinical Assessment of Emission- and Segmentation-Based MR-Guided Attenuation Correction in Whole-Body Time-of-Flight PET/MR Imaging
Published in Journal of Nuclear Medicine (01-06-2015)“…The joint maximum-likelihood reconstruction of activity and attenuation (MLAA) for emission-based attenuation correction has regained attention since the…”
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Vision 20/20: Magnetic resonance imaging-guided attenuation correction in PET/MRI: Challenges, solutions, and opportunities
Published in Medical physics (Lancaster) (01-03-2016)“…Attenuation correction is an essential component of the long chain of data correction techniques required to achieve the full potential of quantitative…”
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Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region
Published in Medical physics (Lancaster) (01-11-2018)“…Purpose Magnetic resonance imaging (MRI)‐guided radiation therapy (RT) treatment planning is limited by the fact that the electron density distribution…”
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