Literature DB >> 12696805

An automatic approach for estimating bolus arrival time in dynamic contrast MRI using piecewise continuous regression models.

L H Cheong1, T S Koh, Z Hou.   

Abstract

We present two regression models for the automatic estimation of bolus arrival times (BATs) in dynamic contrast MRI datasets. Results of Monte Carlo simulation experiments show that the means and standard deviations of the estimated BATs are within the sampling interval even in the presence of significant noise.

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Year:  2003        PMID： 12696805     DOI： 10.1088/0031-9155/48/5/403

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN： 0031-9155            Impact factor:   3.609


  14 in total

1.  Endocardial and epicardial myocardial perfusion determined by semi-quantitative and quantitative myocardial perfusion magnetic resonance.

Authors:  Abdulghani Larghat; John Biglands; Neil Maredia; John P Greenwood; Stephen G Ball; Michael Jerosch-Herold; Aleksandra Radjenovic; Sven Plein
Journal:  Int J Cardiovasc Imaging       Date:  2011-11-29       Impact factor: 2.357

2.  The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT.

Authors:  Brendan L Eck; Raymond F Muzic; Jacob Levi; Hao Wu; Rachid Fahmi; Yuemeng Li; Anas Fares; Mani Vembar; Amar Dhanantwari; Hiram G Bezerra; David L Wilson
Journal:  Phys Med Biol       Date:  2018-09-13       Impact factor: 3.609

3.  Bolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Alireza Mehrtash; Sandeep N Gupta; Dattesh Shanbhag; James V Miller; Tina Kapur; Fiona M Fennessy; Ron Kikinis; Andriy Fedorov
Journal:  J Med Imaging (Bellingham)       Date:  2016-03-01

4.  Longitudinal Correlations Between Intravoxel Incoherent Motion (IVIM) and Dynamic Contrast-Enhanced (DCE) MRI During Radiotherapy in Prostate Cancer Patients.

Authors:  Ernst S Kooreman; Vivian van Pelt; Marlies E Nowee; Floris Pos; Uulke A van der Heide; Petra J van Houdt
Journal:  Front Oncol       Date:  2022-06-07       Impact factor: 5.738

5.  Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters.

Authors:  Yousef Mazaheri; Nathanael Kim; Yulia Lakhman; Ramin Jafari; Alberto Vargas; Ricardo Otazo
Journal:  NMR Biomed       Date:  2022-03-14       Impact factor: 4.478

6.  Characterization of gadolinium-based dynamic susceptibility contrast perfusion measurements in permanent and transient MCAO models with volumetric based validation by CASL.

Authors:  Bernt T Bråtane; Ronn P Walvick; Claire Corot; Eric Lancelot; Marc Fisher
Journal:  J Cereb Blood Flow Metab       Date:  2009-10-14       Impact factor: 6.200

7.  Comparison of the Diagnostic Performance of Four Quantitative Myocardial Perfusion Estimation Methods Used in Cardiac MR Imaging: CE-MARC Substudy.

Authors:  John D Biglands; Derek R Magee; Steven P Sourbron; Sven Plein; John P Greenwood; Aleksandra Radjenovic
Journal:  Radiology       Date:  2014-12-18       Impact factor: 11.105

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

Authors:  Andreas Fieselmann; Markus Kowarschik; Arundhuti Ganguly; Joachim Hornegger; Rebecca Fahrig
Journal:  Int J Biomed Imaging       Date:  2011-08-28

9.  Impact of contrast agent injection duration on dynamic contrast-enhanced MRI quantification in prostate cancer.

Authors:  Edzo M E Klawer; Petra J van Houdt; Floris J Pos; Stijn W T P J Heijmink; Matthias J P van Osch; Uulke A van der Heide
Journal:  NMR Biomed       Date:  2018-07-05       Impact factor: 4.044

10.  Magnetic Resonance Q Mapping Reveals a Decrease in Microvessel Density in the arcAβ Mouse Model of Cerebral Amyloidosis.

Authors:  Giovanna D Ielacqua; Felix Schlegel; Martina Füchtemeier; Jael Xandry; Markus Rudin; Jan Klohs
Journal:  Front Aging Neurosci       Date:  2016-01-19       Impact factor: 5.750
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