Search Results - "Arabi, Hossein"

Deep learning–based metal artefact reduction in PET/CT imaging by Arabi, Hossein, Zaidi, Habib

“…Objectives The susceptibility of CT imaging to metallic objects gives rise to strong streak artefacts and skewed information about the attenuation medium…”
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Non-local mean denoising using multiple PET reconstructions by Arabi, Hossein, Zaidi, Habib

“…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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Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy by Arabi, Hossein, Zaidi, Habib

“…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 by Arabi, Hossein, Zaidi, Habib

“…•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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Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging by Sanaat, Amirhossein, Shiri, Isaac, Arabi, Hossein, Mainta, Ismini, Nkoulou, René, Zaidi, Habib

“…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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Whole-body voxel-based internal dosimetry using deep learning by Akhavanallaf, Azadeh, Shiri, Iscaac, Arabi, Hossein, Zaidi, Habib

“…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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Projection Space Implementation of Deep Learning-Guided Low-Dose Brain PET Imaging Improves Performance over Implementation in Image Space by Sanaat, Amirhossein, Arabi, Hossein, Mainta, Ismini, Garibotto, Valentina, Zaidi, Habib

“…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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The promise of artificial intelligence and deep learning in PET and SPECT imaging by Arabi, Hossein, AkhavanAllaf, Azadeh, Sanaat, Amirhossein, Shiri, Isaac, Zaidi, Habib

“…[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 by Arabi, Hossein, Bortolin, Karin, Ginovart, Nathalie, Garibotto, Valentina, Zaidi, Habib

“…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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Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks by Shiri, Isaac, AmirMozafari Sabet, Kiarash, Arabi, Hossein, Pourkeshavarz, Mozhgan, Teimourian, Behnoosh, Ay, Mohammad Reza, Zaidi, Habib

“…The purpose of this work was to assess the feasibility of acquisition time reduction in MPI-SPECT imaging using deep leering techniques through two main…”
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Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance by Aghakhan Olia, Narges, Kamali-Asl, Alireza, Hariri Tabrizi, Sanaz, Geramifar, Parham, Sheikhzadeh, Peyman, Farzanefar, Saeed, Arabi, Hossein, Zaidi, Habib

“…Purpose This work was set out to investigate the feasibility of dose reduction in SPECT myocardial perfusion imaging (MPI) without sacrificing diagnostic…”
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DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms by Sanaat, Amirhossein, Shooli, Hossein, Ferdowsi, Sohrab, Shiri, Isaac, Arabi, Hossein, Zaidi, Habib

“…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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Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI by Mehranian, Abolfazl, Arabi, Hossein, Zaidi, Habib

“…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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Vision 20/20: Magnetic resonance imaging-guided attenuation correction in PET/MRI: Challenges, solutions, and opportunities by Mehranian, Abolfazl, Arabi, Hossein, Zaidi, Habib

“…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 by Arabi, Hossein, Dowling, Jason A., Burgos, Ninon, Han, Xiao, Greer, Peter B., Koutsouvelis, Nikolaos, Zaidi, Habib

“…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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The quest for multifunctional and dedicated PET instrumentation with irregular geometries by Sanaat, Amirhossein, Amini, Mehdi, Arabi, Hossein, Zaidi, Habib

“…We focus on reviewing state-of-the-art developments of dedicated PET scanners with irregular geometries and the potential of different aspects of…”
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Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network by Shiri, Isaac, Akhavanallaf, Azadeh, Sanaat, Amirhossein, Salimi, Yazdan, Askari, Dariush, Mansouri, Zahra, Shayesteh, Sajad P., Hasanian, Mohammad, Rezaei-Kalantari, Kiara, Salahshour, Ali, Sandoughdaran, Saleh, Abdollahi, Hamid, Arabi, Hossein, Zaidi, Habib

“…Objectives The current study aimed to design an ultra-low-dose CT examination protocol using a deep learning approach suitable for clinical diagnosis of…”
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Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms by Shiri, Isaac, Arabi, Hossein, Sanaat, Amirhossein, Jenabi, Elnaz, Becker, Minerva, Zaidi, Habib

“…Purpose The availability of automated, accurate, and robust gross tumor volume (GTV) segmentation algorithms is critical for the management of head and neck…”
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Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images by Shiri, Isaac, Amini, Mehdi, Nazari, Mostafa, Hajianfar, Ghasem, Haddadi Avval, Atlas, Abdollahi, Hamid, Oveisi, Mehrdad, Arabi, Hossein, Rahmim, Arman, Zaidi, Habib

“…To investigate the impact of harmonization on the performance of CT, PET, and fused PET/CT radiomic features toward the prediction of mutations status, for…”
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Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI by Arabi, Hossein, Zeng, Guodong, Zheng, Guoyan, Zaidi, Habib

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