Results 61 to 70 of about 6,210,221 (335)

Using an Ultrasound Tissue Phantom Model for Hybrid Training of Deep Learning Models for Shrapnel Detection

Journal of Imaging, 2022
Tissue phantoms are important for medical research to reduce the use of animal or human tissue when testing or troubleshooting new devices or technology.
Sofia I. Hernandez-Torres, Emily N. Boice, Eric J. Snider   +2 more
doaj   +1 more source

Exact sinogram: an analytical approach to the Radon transform of phantoms [PDF]

arXiv, 2023
Phantoms can serve as a gold standard for the validation of MRI numerical methods. In some special cases, it is possible to compute analytically the Radon transform, or sinogram, of a phantom. In this work, we present analytical formulae to compute the exact sinograms of three classes of phantoms.
arxiv  

A novel physical anthropomorphic breast phantom for 2D and 3D x‐ray imaging

Medical Physics (Lancaster), 2017
Purpose: Physical phantoms are central to the evaluation of 2D and 3D breast‐imaging systems. Currently, available physical phantoms have limitations including unrealistic uniform background structure, large expense, or excessive fabrication time.
L. Ikejimba, C. Graff, S. Rosenthal, A. Badal, B. Ghammraoui, J. Lo, S. Glick   +6 more
semanticscholar   +1 more source

Flow‐based immunomagnetic enrichment of circulating tumor cells from diagnostic leukapheresis product

Molecular Oncology, EarlyView.
The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens, Anouk Mentink, Frank A. W. Coumans, Eshwari Dathathri, Khrystany T. Isebia, Jaco Kraan, Ronald de Wit, John W. M. Martens, Leon W. M. M. Terstappen   +8 more
wiley   +1 more source

Effects of the Phantom Shape on the Gradient Artefact of Electroencephalography (EEG) Data in Simultaneous EEG–fMRI

Applied Sciences, 2018
Electroencephalography (EEG) signals greatly suffer from gradient artefacts (GAs) due to the time-varying field gradients in the magnetic resonance (MR) scanner during the simultaneous acquisition of EEG and functional magnetic resonance imaging (fMRI ...
Muhammad E. H. Chowdhury, Amith Khandakar, Belayat Hossain, Khawla Alzoubi   +3 more
doaj   +1 more source

Incorporation of a Left Ventricle Finite Element Model Defining Infarction Into the XCAT Imaging Phantom

IEEE Transactions on Medical Imaging, 2011
The 4D extended cardiac-torso (XCAT) phantom was developed to provide a realistic and flexible model of the human anatomy and cardiac and respiratory motions for use in medical imaging research.
A. Veress, W. Segars, B. Tsui, G. Gullberg   +3 more
semanticscholar   +1 more source

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

Molecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever, Renske D. M. Steenbergen   +1 more
wiley   +1 more source

A novel 3D-printed head phantom with anatomically realistic geometry and continuously varying skull resistivity distribution for electrical impedance tomography

Scientific Reports, 2017
Phantom experiments are an important step for testing during the development of new hardware or imaging algorithms for head electrical impedance tomography (EIT) studies.
Jie Zhang, Bin Yang, Haoting Li, Feng Fu, Xuetao Shi, Xiuzhen Dong, Meng Dai   +6 more
doaj   +1 more source

Multimodal phantom of liver tissue. [PDF]

PLoS ONE, 2013
Medical imaging plays an important role in patients' care and is continuously being used in managing health and disease. To obtain the maximum benefit from this rapidly developing technology, further research is needed.
Magdalena K Chmarra, Rune Hansen, Ronald Mårvik, Thomas Langø   +3 more
doaj   +1 more source

Deep Convolutional Neural Network for Low Projection SPECT Imaging Reconstruction [PDF]

arXiv, 2021
In this paper, we present a novel method for tomographic image reconstruction in SPECT imaging with a low number of projections. Deep convolutional neural networks (CNN) are employed in the new reconstruction method. Projection data from software phantoms were used to train the CNN network.
arxiv