Literature DB >> 8957793

Use of subvoxel registration and subtraction to improve demonstration of contrast enhancement in MRI of the brain.

W L Curati1, E J Williams, A Oatridge, J V Hajnal, N Saeed, G M Bydder.   

Abstract

To assess the potential of registration of images before and after contrast medium for improving the demonstration of contrast enhancement, we compared conventional 2D T1-weighted spin-echo images with precisely registered 3D volume images and subtraction images derived from them in 2 normal subjects and 30 patients with a variety of brain disease. The volume images were registered to subvoxel accuracy using a rigid body translation and rotation, sinc interpolation and a least-squares fit; subtraction images were obtained from these. Normal contrast enhancement was demonstrated better with positionally registered volume and subtraction images than with conventional images in the meninges, ependyma, diploic veins, scalp, skin, orbit and sinuses. Abnormal enhancement was seen better in meningeal disease, multiple sclerosis and tumours as well as on follow-up studies. Subvoxel registration of images before and after contrast medium may be of considerable value in the recognition of contrast enhancement where there are small changes, or where the changes affect tissues with high or low baseline signal values. The technique also appears likely to be of value in demonstrating contrast enhancement in tissues at interfaces and at other areas of complex anatomy, and in follow-up studies.

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Year:  1996        PMID: 8957793     DOI: 10.1007/s002340050335

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  6 in total

1.  A subtraction pipeline for automatic detection of new appearing multiple sclerosis lesions in longitudinal studies.

Authors:  Onur Ganiler; Arnau Oliver; Yago Diez; Jordi Freixenet; Joan C Vilanova; Brigitte Beltran; Lluís Ramió-Torrentà; Alex Rovira; Xavier Lladó
Journal:  Neuroradiology       Date:  2014-03-04       Impact factor: 2.804

Review 2.  Automated detection of multiple sclerosis lesions in serial brain MRI.

Authors:  Xavier Lladó; Onur Ganiler; Arnau Oliver; Robert Martí; Jordi Freixenet; Laia Valls; Joan C Vilanova; Lluís Ramió-Torrentà; Alex Rovira
Journal:  Neuroradiology       Date:  2011-12-20       Impact factor: 2.804

3.  A novel, reproducible, and objective method for volumetric magnetic resonance imaging assessment of enhancing glioblastoma.

Authors:  Charles W Kanaly; Ankit I Mehta; Dale Ding; Jenny K Hoang; Peter G Kranz; James E Herndon; April Coan; Ian Crocker; Anthony F Waller; Allan H Friedman; David A Reardon; John H Sampson
Journal:  J Neurosurg       Date:  2014-07-18       Impact factor: 5.115

4.  The TRUTH confirmed: validation of an intraindividual comparison of gadobutrol and gadoteridol for imaging of glioblastoma using quantitative enhancement analysis.

Authors:  Matthew J Kuhn; Julia W Patriarche; Douglas Patriarche; Miles A Kirchin; Massimo Bona; Gianpaolo Pirovano
Journal:  Eur Radiol Exp       Date:  2021-10-12

Review 5.  Lacrimal outflow mechanisms and the role of scintigraphy: current trends.

Authors:  Efstathios T Detorakis; Athanassios Zissimopoulos; Konstantinos Ioannakis; Vassilios P Kozobolis
Journal:  World J Nucl Med       Date:  2014-01

6.  Normalized Subtraction of Serial Brain Magnetic Resonance Images and Fludeoxyglucose-Positron Emission Tomography Images for Tumor Treatment Monitoring: Case Report and Method Description.

Authors:  Nghi C Nguyen; Medhat M Osman
Journal:  J Clin Imaging Sci       Date:  2018-06-28
  6 in total

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