Cargando…

Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling

PURPOSE: Osteoporosis is a bone disease associated with enhanced bone loss, microstructural degeneration, and fracture‐risk. Finite element (FE) modeling is used to estimate trabecular bone (Tb) modulus from high‐resolution three‐dimensional (3‐D) imaging modalities including micro‐computed tomograp...

Descripción completa

Detalles Bibliográficos
Autores principales:	Guha, Indranil, Zhang, Xiaoliu, Rajapakse, Chamith S., Chang, Gregory, Saha, Punam K.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2022
Materias:	QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325403/ https://www.ncbi.nlm.nih.gov/pubmed/35319784 http://dx.doi.org/10.1002/mp.15629

Ejemplares similares

Continuum finite element analysis generalizes in vivo trabecular bone microstructural strength measures between two CT scanners with different image resolution
por: Guha, Indranil, et al.
Publicado: (2023)

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)

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

[Image: see text] Robust CT ventilation from the integral formulation of the Jacobian
por: Castillo, Edward, 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)

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

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

Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke
por: van Ommen, Fasco, 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)

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)

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

[Image: see text] Robust HU‐based CT ventilation from an integrated mass conservation formulation
por: Castillo, Edward, et al.
Publicado: (2019)

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)

Computed Tomography–Based Stiffness Measures of Trabecular Bone Microstructure: Cadaveric Validation and In Vivo Application
por: Guha, Indranil, 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)

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)

A novel bone suppression algorithm in intensity‐based 2D/3D image registration for real‐time tumor motion monitoring: Development and phantom‐based validation
por: Gulyas, Ingo, et al.
Publicado: (2022)

Implementation and prospective clinical validation of AI‐based planning and shimming techniques in cardiac MRI
por: Edalati, Masoud, et al.
Publicado: (2021)

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)

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

(18)F‐fluoromisonidazole uptake in advanced stage non‐small cell lung cancer: A voxel‐by‐voxel PET kinetics study
por: McGowan, Daniel R., et al.
Publicado: (2017)

Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter?
por: Doran, Simon J., et al.
Publicado: (2017)

Fully automatic segmentation and objective assessment of atrial scars for long‐standing persistent atrial fibrillation patients using late gadolinium‐enhanced MRI
por: Yang, Guang, et al.
Publicado: (2018)

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

Cannot write session to /tmp/vufind_sessions/sess_56anlpucum19ijn0i67gfl8vnh