Cargando…

Automated quantification of myocardial perfusion based on segmentation and non-rigid registration of contrast-enhanced cardiac magnetic resonance images

Detalles Bibliográficos
Autores principales:	Tarroni, Giacomo, Corsi, Cristiana, Veronesi, Federico, Walter, James, Lamberti, Claudio, Lang, Roberto M, Mor-Avi, Victor, Patel, Amit R
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Poster Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3106888/ http://dx.doi.org/10.1186/1532-429X-13-S1-P91

Ejemplares similares

Objective selection of short-axis slices for automated quantification of left ventricular size and function by cardiovascular magnetic resonance
por: Marino, Marco, et al.
Publicado: (2015)

Regadenoson cardiovascular magnetic resonance myocardial perfusion imaging predicts need for future revascularization
por: Freed, Benjamin H, et al.
Publicado: (2012)

Lipid sub-fractionation predicts worsening myocardial perfusion reserve in patients with low-density lipoprotein less than 100mg/dL: a regadenoson dardiac magnetic resonance study
por: Narang, Akhil, et al.
Publicado: (2012)

A vasodilator stress MRI perfusion study: large HDL particle number is independently associated with microvascular function in patients with LDL-C <100mg/dL
por: Narang, Akhil, et al.
Publicado: (2013)

Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework
por: Drobny, David, et al.
Publicado: (2020)

Modified dixon‐based renal dynamic contrast‐enhanced MRI facilitates automated registration and perfusion analysis
por: de Boer, Anneloes, et al.
Publicado: (2017)

A feasibility study to estimate optimal rigid‐body registration using combinatorial rigid registration optimization (CORRO)
por: Yorke, Afua A., et al.
Publicado: (2020)

Contrast‐enhanced ultrasound for quantification of tissue perfusion in humans
por: Emanuel, Anna L., et al.
Publicado: (2019)

Semi-quantitative assessment of resting perfusion in chronic myocardial infarction
por: Patel, Mita, et al.
Publicado: (2015)

SNR improvement in GRE-EPI first-pass myocardial perfusion images with non-rigid body registration and KLT filtering
por: Mihai, Georgeta, et al.
Publicado: (2009)

Fully automated rigid image registration versus human registration in postoperative spine stereotactic body radiation therapy: a multicenter non-inferiority study
por: Koide, Yutaro, et al.
Publicado: (2021)

Robust Automated Amygdala Segmentation via Multi-Atlas Diffeomorphic Registration
por: Hanson, Jamie L., et al.
Publicado: (2012)

Rigid Shape Registration Based on Extended Hamiltonian Learning
por: Yi, Jin, et al.
Publicado: (2020)

Non-Rigid Registration for High-Resolution Retinal Imaging
por: Mujat, Mircea, et al.
Publicado: (2023)

Locally rigid, vessel-based registration for laparoscopic liver surgery
por: Song, Yi, et al.
Publicado: (2015)

Global rigid registration of CT to video in laparoscopic liver surgery
por: Robu, Maria R., et al.
Publicado: (2018)

Use of non-contrast Myocardial T1 times to distinguish between fibrosis and normal myocardial tissue, a possible alternative for patients who cannot receive gadolinium-based contrast agents
por: Addetia, Karima, et al.
Publicado: (2016)

Quantification of the severity of tricuspid regurgitation from cardiac magnetic resonance cine images
por: Medvedofsky, Diego, et al.
Publicado: (2016)

Quantification of pulmonary perfusion in idiopathic pulmonary fibrosis with first pass dynamic contrast-enhanced perfusion MRI
por: Weatherley, Nicholas D, et al.
Publicado: (2021)

Deep Learning Segmentation in 2D X-ray Images and Non-Rigid Registration in Multi-Modality Images of Coronary Arteries
por: Park, Taeyong, et al.
Publicado: (2022)

Automated registration of dynamic contrast enhanced DCE-MRI cardiac perfusion achieves comparable diagnostic accuracy to manual motion correction: a CE-MARC sub-study
por: Zakkaroff, Constantine, et al.
Publicado: (2014)

A Semi-Automated Workflow for Brain Slice Histology Alignment, Registration, and Cell Quantification (SHARCQ)
por: Lauridsen, Kristoffer, et al.
Publicado: (2022)

Non-rigid registration of breast surfaces using the laplace and diffusion equations
por: Ong, Rowena E, et al.
Publicado: (2010)

Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints
por: König, Lars, et al.
Publicado: (2016)

Rigid registration algorithm based on the minimization of the total variation of the difference map
por: Xiao, Xianghui, et al.
Publicado: (2022)

SPaM: soft patch matching for non-rigid pointcloud registration
por: Maleki, Behnam, et al.
Publicado: (2023)

Vasodilator stress cardiovascular magnetic resonance imaging in post-orthotopic heart transplant recipients: evaluation of safety, hemodynamics, and myocardial perfusion
por: Narang, Akhil, et al.
Publicado: (2016)

CT and MR image fusion of tandem and ring applicator using rigid registration in intracavitary brachytherapy planning
por: Oinam, Arun S., et al.
Publicado: (2014)

Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary beds using speckle variance optical coherence tomography
por: Hendargo, Hansford C., et al.
Publicado: (2013)

Deep Learning for Cardiac Image Segmentation: A Review
por: Chen, Chen, et al.
Publicado: (2020)

MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs
por: Walluscheck, Sina, et al.
Publicado: (2022)

Automated quantification of renal fibrosis with Sirius Red and polarization contrast microscopy
por: Street, Jonathan M., et al.
Publicado: (2014)

Effects of rigid and non-rigid image registration on test-retest variability of quantitative [(18)F]FDG PET/CT studies
por: van Velden, Floris HP, et al.
Publicado: (2012)

Considerations when measuring myocardial perfusion reserve by cardiovascular magnetic resonance using regadenoson
por: Bhave, Nicole M, et al.
Publicado: (2012)

As-rigid-as-possible mosaicking and serial section registration of large ssTEM datasets
por: Saalfeld, Stephan, et al.
Publicado: (2010)

A Rigid Image Registration Based on the Nonsubsampled Contourlet Transform and Genetic Algorithms
por: Meskine, Fatiha, et al.
Publicado: (2010)

Robust Non-Rigid Point Set Registration Using Student's-t Mixture Model
por: Zhou, Zhiyong, et al.
Publicado: (2014)

Extracellular volume fraction mapping at 3T with non-rigid image co-registration
por: Le, Thu Thao, et al.
Publicado: (2016)

Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving
por: Zhu, Hao, et al.
Publicado: (2019)

Characterization of a new physical phantom for testing rigid and deformable image registration
por: Wu, Richard Y., et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_5oieqiec9g3p7he9f9528bdb64