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Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details

Andreas Fieselmann, Markus Kowarschik, Arundhuti Ganguly, Joachim Hornegger, Rebecca Fahrig
2011 International Journal of Biomedical Imaging  
Deconvolution-based analysis of CT and MR brain perfusion data is widely used in clinical practice and it is still a topic of ongoing research activities.  ...  Our description of the practical computer implementation is focused on the most frequently employed algebraic deconvolution methods based on the singular value decomposition.  ...  Acknowledgments The authors gratefully acknowledge funding of the Erlangen Graduate School in Advanced Optical Technologies (SAOT) by the German Research Foundation (DFG) in the framework of the German  ... 
doi:10.1155/2011/467563 pmid:21904538 pmcid:PMC3166726 fatcat:eldg7ac32vdfpndimqc7ygiipu

A 4D CT digital phantom of an individual human brain for perfusion analysis

Rashindra Manniesing, Christoph Brune, Bram van Ginneken, Mathias Prokop
2016 PeerJ  
Brain perfusion is of key importance to assess brain function. Modern CT scanners can acquire perfusion maps of the cerebral parenchymain vivoat submillimeter resolution.  ...  However, the relations between acquisition parameters, tissue attenuation curves, and perfusion values are still poorly understood and cannot be unraveled by studies involving humans because of ethical  ...  One of their recommendation is to use a digital phantom of the human brain to validate and objectively compare perfusion analysis methods.  ... 
doi:10.7717/peerj.2683 pmid:27917312 pmcid:PMC5134368 fatcat:pupbvhpu6bgj5i7nuhwngncbma

Application of Diffusion – And Perfusion – Weighted Imaging in Acute Ischemic Stroke [chapter]

Vincent Lai
2014 Advanced Brain Neuroimaging Topics in Health and Disease - Methods and Applications  
Image analysis Perfusion imaging is the method of choice for demonstrating ischemic brain tissue in hyperacute stage of stroke.  ...  Cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) are time dependent parameters requiring utilization of computational deconvolution methods (such as singular value decomposition  ... 
doi:10.5772/58280 fatcat:xww4fvjoqra4xm3al22wjdqiie

Accuracy and Reliability Assessment of CT and MR Perfusion Analysis Software Using a Digital Phantom

Kohsuke Kudo, Soren Christensen, Makoto Sasaki, Leif Østergaard, Hiroki Shirato, Kuniaki Ogasawara, Max Wintermark, Steven Warach
2013 Radiology  
For the Stroke Imaging Repository (STIR) Investigators Purpose: To design a digital phantom data set for computed tomography (CT) perfusion and perfusion-weighted imaging on the basis of the widely accepted  ...  Abbreviations: ANOVA = analysis of variance CBF = cerebral blood flow CBV = cerebral blood volume MTT = mean transit time PMA = Perfusion Mismatch Analyzer R(t) = residue function SVD = singular value  ...  These curves were embedded in human brain images. The data were analyzed by using 13 algorithms each for CT and magnetic resonance (MR), including five commercial vendors and five academic programs.  ... 
doi:10.1148/radiol.12112618 pmid:23220899 pmcid:PMC3606546 fatcat:fcm2yk2ddnggboxek5tu5zzxbq

Expanding the therapeutic window in acute ischemic stroke by advanced imaging

Manabu Inoue, Kazunori Toyoda
2021 Vessel Plus  
The immense clinical advantage of advanced imaging is expansion of the therapeutic window by various mismatch assessments.  ...  Advanced imaging is mainly led by perfusion imaging and has been powered by automated analyzing software.  ...  Standard singular value decomposition is known to be sensitive to the delay effect and dispersion, while block-circulant singular value decomposition (bcSVD) is known to be delay-insensitive.  ... 
doi:10.20517/2574-1209.2020.99 fatcat:xdvg7e7exnctpprwn7lpn2f47i

CT Perfusion (CTP) [chapter]

Angelos A. Konstas, R. Gilberto González, Michael H. Lev
2010 Acute Ischemic Stroke  
Mathematically, deconvolution of the arterial (AIF) and tissue curves can be accomplished using a variety of techniques, including the Fourier transform and the singular value decomposition methods.  ...  In current clinical software, the singular value decomposition method, which is more sensitive to contrast dispersal factors than to specific local arterial anatomy, is the more commonly employed.  ... 
doi:10.1007/978-3-642-12751-9_5 fatcat:354e7d4lwna4ncma2utgrben7u

Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning [article]

David Robben, Anna M.M. Boers, Henk A. Marquering, Lucianne L.C.M. Langezaal, Yvo B.W.E.M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W.J. Dippel, Charles B.L.M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens
2018 arXiv   pre-print
CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke.  ...  Conventional perfusion analysis performs a deconvolution of the measurements and thresholds the perfusion parameters to determine the tissue status.  ...  This can be done in singular value decomposition (SVD) based deconvolution by regularizing the singular values, e.g. using Tikhonov regularization.  ... 
arXiv:1812.02496v1 fatcat:t6dkcgwkrrc7zgs4z7slyp6f3m

The effect of software post-processing applications on identification of the penumbra and core within the ischaemic region in perfusion computed tomography

Agnieszka Gleń, Robert Chrzan, Andrzej Urbanik
2019 Polish Journal of Radiology  
Assessment of software applications designed for post-processing of CT imaging data and perfusion maps in terms of their ability to consistently define the penumbra and core in an ischemic area.  ...  Non-contrast and perfusion CT were performed during an emergency duty. The acquired data were processed using various programs to obtain defined ischaemic areas and parameters.  ...  SVD (singular value decomposition), sSVD (standard SVD), bSVD (block-circulant SVD), IF (inverse filter), and bMTF (box modulation transfer function).  ... 
doi:10.5114/pjr.2019.83182 pmid:31019604 pmcid:PMC6479142 fatcat:4wlwef5fnjhxbhou6kuayu4ugu

Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

David Robben, Anna M.M. Boers, Henk A. Marquering, Lucianne L.C.M. Langezaal, Yvo B.W.E.M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W.J. Dippel, Charles B.L.M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens
2019 Medical Image Analysis  
CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke.  ...  Conventional perfusion analysis performs a deconvolution of the measurements and thresholds the perfusion parameters to determine the tissue status.  ...  This can be done in singular value decomposition (SVD) based deconvolution by regularizing the singular values, e.g. using Tikhonov regularization.  ... 
doi:10.1016/j.media.2019.101589 pmid:31683091 fatcat:boxe5cpnmjgx3evqxmk35un2va

Clinical Imaging of the Penumbra in Ischemic Stroke: From the Concept to the Era of Mechanical Thrombectomy

Lucie Chalet, Timothé Boutelier, Thomas Christen, Dorian Raguenes, Justine Debatisse, Omer Faruk Eker, Guillaume Becker, Norbert Nighoghossian, Tae-Hee Cho, Emmanuelle Canet-Soulas, Laura Mechtouff
2022 Frontiers in Cardiovascular Medicine  
structure of the field using bibliometric analysis and explore future directions.  ...  Transversal studies comparing PET and MRI or using longitudinal assessment of a limited sample of patients have been used to define perfusion thresholds.  ...  ACKNOWLEDGMENTS We acknowledge the IRIS team, the RHU MARVELOUS and its Scientific Advisory Board for fruitful discussions about the ischemic penumbra imaging.  ... 
doi:10.3389/fcvm.2022.861913 pmid:35355966 pmcid:PMC8959629 fatcat:wlgsvq5qrfavbgselmgd7vmv24

Inferring CT perfusion parameters and uncertainties using a Bayesian approach

Tao Sun, Roger Fulton, Zhanli Hu, Christina Sutiono, Dong Liang, Hairong Zheng
2021 Quantitative Imaging in Medicine and Surgery  
Most CT scanners use singular value decomposition (SVD)-based methods to calculate these parameters. However, some known problems are associated with conventional methods.  ...  Computed tomography perfusion imaging is commonly used for the rapid assessment of patients presenting with symptoms of acute stroke.  ...  Stierstorfer, Siemens Healthcare, Forchheim, Germany, for his help with reading the raw CT data.  ... 
doi:10.21037/qims-21-338 pmid:34993092 pmcid:PMC8666757 fatcat:q5vjn5nwv5hslg7r3qjsdcthuq

Iterative Reconstruction Improves Both Objective and Subjective Image Quality in Acute Stroke CTP

Fabian Flottmann, Jan Kabath, Till Illies, Tanja Schneider, Jan-Hendrik Buhk, Jens Fiehler, André Kemmling, Mathias Gelderblom
2016 PLoS ONE  
The purpose of this study was to investigate if iterative reconstruction (IR) algorithms can be used to improve the diagnostic value of standard-dose CTP in AIS.  ...  Image quality was objectively (quantitative perfusion values, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR)) and subjectively (overall image quality) assessed.  ...  Singular value decomposition deconvolution (sSVD) and block-circulant SVD (bSVD) perfusion parameter maps were calculated directly from the residue function using the Perfusion Mismatch Analyzer (PMA)  ... 
doi:10.1371/journal.pone.0150103 pmid:26930290 pmcid:PMC4773110 fatcat:hr2xw6tvmvdndewf4nbrzni6oe

Real-World Comparison of Human and Software Image Assessment in Acute Ischemic Stroke Patients' Qualification for Reperfusion Treatment

Bartlomiej Lasocha, Roman Pulyk, Pawel Brzegowy, Pawel Latacz, Agnieszka Slowik, Tadeusz J. Popiela
2020 Journal of Clinical Medicine  
Our aim was to compare human and computer accuracy in reading medical images of acute stroke patients.  ...  CT perfusion analyses yielded only slight agreement (kappa = 0.193) in the qualification of patients for therapy.  ...  First of all, a difference in deconvolution algorithms exists between the two software packages: GE uses Singular Value Decomposition plus (SVD+), whereas RAPID uses block-circulant deconvolution (bSVD  ... 
doi:10.3390/jcm9113383 pmid:33105544 fatcat:573rnz5xxfeajpe27rgcw6l5fq

A Motion Compensation Approach for Oral and Maxillofacial Cone-beam Imaging [article]

Tao Sun, Reinhilde Jacobs, Ruben Pauwels, Elisabeth Tijskens, Roger Fulton, Johan Nuyts
2021 arXiv   pre-print
This study reports on an extension of the previous method to cone-beam CT imaging. To address the issue of the limited field-of-view, improvements were made to the original method.  ...  Quantitative analysis by comparison to a reference image (simulation and phantom) and by calculation of a sharpness metric agreed with the qualitative observation.  ...  The written informed consent was obtained from the patients before each scan.  ... 
arXiv:2009.08218v2 fatcat:jnisnc3d6vhkthd24kuqckvlfi

Validation study of perfusion parameter in hypervascular hepatocellular carcinoma and focal nodular hyperplasia using dynamic susceptibility magnetic resonance imaging with super-paramagnetic iron oxide: comparison with single level dynamic CT arteriography

Kazuhiro Saito, Joseph Ledsam, Steven Sourbron, Yoichi Araki
2020 Quantitative Imaging in Medicine and Surgery  
For both CT and MRI modalities, a model-free analysis method was used to derive region of interest-based perfusion parameters.  ...  assessing the perfusion characteristic of hypervascular liver tumors than by using extracellular contrast media.  ...  value decomposition (TSVD) and a fixed cutoff for the singular values at 15% of the maximum singular value; an estimate of the plasma flow is then derived as the maximum of the impulse response function  ... 
doi:10.21037/qims-18-233 pmid:32550138 pmcid:PMC7276367 fatcat:ud2my26xkjcy5htyzcco35pozi
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