Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Head of Department of Computing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gomez:2015:10.1109/TMI.2015.2428932,
author = {Gomez, A and de, Vecchi A and Jantsch, M and Shi, W and Pushparajah, K and Simpson, JM and Smith, NP and Rueckert, D and Schaeffter, T and Penney, GP},
doi = {10.1109/TMI.2015.2428932},
journal = {IEEE Transactions on Medical Imaging},
pages = {2298--2308},
title = {4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data},
url = {http://dx.doi.org/10.1109/TMI.2015.2428932},
volume = {34},
year = {2015}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - We demonstrate a new method to recover 4D bloodflow over the entire ventricle from partial blood velocity measurementsusing multiple colour Doppler images and ventricularwall motion estimated using BMode images. We applyour approach to realistic simulated data to ascertain the ability ofthe method to deal with incomplete data, as typically happens inclinical practice. Experiments using synthetic data show that theuse of wall motion improves velocity reconstruction, shows moreaccurate flow patterns and improves mean accuracy particularlywhen coverage of the ventricle is poor. The method was appliedto patient data from 6 congenital cases, producing results consistentwith the simulations. The use of wall motion produced moreplausible flow patterns and reduced the reconstruction error in allpatients.
AU - Gomez,A
AU - de,Vecchi A
AU - Jantsch,M
AU - Shi,W
AU - Pushparajah,K
AU - Simpson,JM
AU - Smith,NP
AU - Rueckert,D
AU - Schaeffter,T
AU - Penney,GP
DO - 10.1109/TMI.2015.2428932
EP - 2308
PY - 2015///
SN - 1558-254X
SP - 2298
TI - 4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data
T2 - IEEE Transactions on Medical Imaging
UR - http://dx.doi.org/10.1109/TMI.2015.2428932
UR - http://hdl.handle.net/10044/1/30749
VL - 34
ER -