Cargando…

[Image: see text] Robust HU‐based CT ventilation from an integrated mass conservation formulation

Computed tomography (CT) ventilation algorithms estimate volume changes induced by respiratory motion. Existing Hounsfield Unit (HU) methods approximate volume change from the measured HU variations between spatially corresponding voxel locations within a temporally resolved CT image pair, assuming...

Descripción completa

Detalles Bibliográficos
Autores principales:	Castillo, Edward, Vinogradskiy, Yevgeniy, Castillo, Richard
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2019
Materias:	QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842051/ https://www.ncbi.nlm.nih.gov/pubmed/31514235 http://dx.doi.org/10.1002/mp.13817

Ejemplares similares

[Image: see text] Robust CT ventilation from the integral formulation of the Jacobian
por: Castillo, Edward, et al.
Publicado: (2019)

Technical Note: On the spatial correlation between robust CT‐ventilation methods and SPECT ventilation
por: Castillo, Edward, et al.
Publicado: (2020)

Quantifying pulmonary perfusion from noncontrast computed tomography
por: Castillo, Edward, et al.
Publicado: (2021)

[Image: see text] Quantitative assessment of breast density using transmission ultrasound tomography
por: Wiskin, James, et al.
Publicado: (2019)

Investigating the use of machine learning to generate ventilation images from CT scans
por: Grover, James, et al.
Publicado: (2022)

Multi‐marker quantitative radiomics for mass characterization in dedicated breast CT imaging
por: Caballo, Marco, et al.
Publicado: (2020)

Quantifying ventilation change due to radiation therapy using 4DCT Jacobian calculations
por: Patton, Taylor J., et al.
Publicado: (2018)

Time‐resolved MRI for off‐line treatment robustness evaluation in carbon‐ion radiotherapy of pancreatic cancer
por: Meschini, Giorgia, et al.
Publicado: (2022)

Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto‐contouring
por: Udupa, Jayaram K., et al.
Publicado: (2022)

Impact of PET/CT system, reconstruction protocol, data analysis method, and repositioning on PET/CT precision: An experimental evaluation using an oncology and brain phantom
por: Mansor, Syahir, et al.
Publicado: (2017)

Validation of a robust method for quantification of three‐dimensional growth of the thoracic aorta using deformable image registration
por: Bian, Zhangxing, et al.
Publicado: (2022)

Automatic quantitative analysis of pulmonary vascular morphology in CT images
por: Zhai, Zhiwei, et al.
Publicado: (2019)

Technical Note: Virtual phantom analyses for preprocessing evaluation and detection of a robust feature set for MRI‐radiomics of the brain
por: Bologna, Marco, et al.
Publicado: (2019)

Calibration‐free beam hardening correction for myocardial perfusion imaging using CT
por: Levi, Jacob, et al.
Publicado: (2019)

Accuracy of registration algorithms in subtraction CT of the lungs: A digital phantom study
por: Grob, Dagmar, et al.
Publicado: (2019)

Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke
por: van Ommen, Fasco, et al.
Publicado: (2019)

Estimating 3‐D whole‐body composition from a chest CT scan
por: Pu, Lucy, et al.
Publicado: (2022)

Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images
por: Netherton, Tucker J., et al.
Publicado: (2020)

Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling
por: Guha, Indranil, et al.
Publicado: (2022)

INSIDEnet: Interpretable NonexpanSIve Data‐Efficient network for denoising in grating interferometry breast CT
por: van Gogh, Stefano, et al.
Publicado: (2022)

Assessment of fully automatic segmentation of pulmonary artery and aorta on noncontrast CT with optimal surface graph cuts
por: Sedghi Gamechi, Zahra, et al.
Publicado: (2021)

Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images
por: Wang, Yifan, et al.
Publicado: (2022)

Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features
por: Lo, P., et al.
Publicado: (2016)

Differentiation between immune checkpoint inhibitor‐related and radiation pneumonitis in lung cancer by CT radiomics and machine learning
por: Cheng, Jun, et al.
Publicado: (2022)

Effect of atelectasis changes on tissue mass and dose during lung radiotherapy
por: Guy, Christopher L., et al.
Publicado: (2016)

Improving clinical disease subtyping and future events prediction through a chest CT‐based deep learning approach
por: Singla, Sumedha, et al.
Publicado: (2021)

A CT‐less approach to quantitative PET imaging using the LSO intrinsic radiation for long‐axial FOV PET scanners
por: Teimoorisichani, Mohammadreza, et al.
Publicado: (2021)

Segmentation of dental cone‐beam CT scans affected by metal artifacts using a mixed‐scale dense convolutional neural network
por: Minnema, Jordi, et al.
Publicado: (2019)

Automated gross tumor volume contour generation for large‐scale analysis of early‐stage lung cancer patients planned with 4D‐CT
por: Davey, Angela, et al.
Publicado: (2020)

Automated segmentation of lung, liver, and liver tumors from Tc‐99m MAA SPECT/CT images for Y‐90 radioembolization using convolutional neural networks
por: Chaichana, Anucha, et al.
Publicado: (2021)

Technical Note: 4D cone‐beam CT reconstruction from sparse‐view CBCT data for daily motion assessment in pencil beam scanned proton therapy (PBS‐PT)
por: den Otter, Lydia A., et al.
Publicado: (2020)

Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks
por: McSweeney, Dónal M., et al.
Publicado: (2022)

MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
por: Korfiatis, Panagiotis, et al.
Publicado: (2016)

Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: A just-enough-interaction approach
por: Beichel, Reinhard R., et al.
Publicado: (2016)

Effect of reconstruction methods and x-ray tube current–time product on nodule detection in an anthropomorphic thorax phantom: A crossed-modality JAFROC observer study
por: Thompson, J. D., et al.
Publicado: (2016)

Stratification of pseudoprogression and true progression of glioblastoma multiform based on longitudinal diffusion tensor imaging without segmentation
por: Qian, Xiaohua, et al.
Publicado: (2016)

Technical Note: Contrast free angiography of the pulmonary vasculature in live mice using a laboratory x-ray source
por: Samarage, Chaminda R., et al.
Publicado: (2016)

Quantitative evaluation of contrast agent uptake in standard fat‐suppressed dynamic contrast‐enhanced MRI examinations of the breast
por: Kousi, Evanthia, et al.
Publicado: (2017)

Quantitative transmission ultrasound tomography: Imaging and performance characteristics
por: Malik, Bilal, et al.
Publicado: (2018)

An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images
por: Caballo, Marco, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_htj45ncsmj4b1veu9p25k8ohun