Literature DB >> 9039593

Contrast agents in functional MR imaging.

A G Sorensen1, A L Tievsky, L Ostergaard, R M Weisskoff, B R Rosen.   

Abstract

Contrast agents have greatly expanded the role of MR imaging (MRI) to allow assessment of physiologic, or "functional," parameters. Although activation mapping generally does not require contrast agents, other forms of functional MRI, including mapping of cerebral hemodynamics (eg, perfusion imaging), are best done with the use of contrast agents. Serial echo planar images are obtained after bolus injection of lanthanide chelates. Application of susceptibility contrast physics and standard tracer kinetic principles permits generation of relative cerebral blood volume maps. Deconvolution of cerebral blood flow and mean transit time parameters is also possible within technical limitations. By using diffusion and perfusion pulse sequences, an imaging correlate to the ischemic penumbra can be identified. Functional MRI perfusion imaging of intraaxial tumors is analogous to positron emission tomography for delineation of metabolic activity, yet may be even more sensitive to neovascularity and possesses improved image quality. Clinical applications include biopsy site selection and postirradiation follow-up. Further improvements in data analysis and map generation techniques may improve diagnostic accuracy and utility.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9039593     DOI: 10.1002/jmri.1880070108

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

Review 1.  Imaging tumour angiogenesis.

Authors:  Tony Jeswani; Anwar R Padhani
Journal:  Cancer Imaging       Date:  2005-12-01       Impact factor: 3.909

Review 2.  State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.

Authors:  Magalie Viallon; Victor Cuvinciuc; Benedicte Delattre; Laura Merlini; Isabelle Barnaure-Nachbar; Seema Toso-Patel; Minerva Becker; Karl-Olof Lovblad; Sven Haller
Journal:  Neuroradiology       Date:  2015-04-10       Impact factor: 2.804

3.  Measurement of choroid plexus perfusion using dynamic susceptibility MR imaging: capillary permeability and age-related changes.

Authors:  Roger Bouzerar; Bader Chaarani; Catherine Gondry-Jouet; Jadwiga Zmudka; Olivier Balédent
Journal:  Neuroradiology       Date:  2013-10-23       Impact factor: 2.804

4.  Correlative assessment of hemodynamic parameters obtained with T2*-weighted perfusion MR imaging and SPECT in symptomatic carotid artery occlusion.

Authors:  J H Kim; S J Lee; T Shin; K H Kang; P Y Choi; J H Kim; J C Gong; N C Choi; B H Lim
Journal:  AJNR Am J Neuroradiol       Date:  2000-09       Impact factor: 3.825

5.  Molecular Imaging of Cancer: Applications of Magnetic Resonance Methods.

Authors:  Barjor Gimi; Arvind P Pathak; Ellen Ackerstaff; Kristine Glunde; Dmitri Artemov; Zaver M Bhujwalla
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2005-04-01       Impact factor: 10.961

6.  Assessment of brain perfusion with MRI: methodology and application to acute stroke.

Authors:  C B Grandin
Journal:  Neuroradiology       Date:  2003-10-14       Impact factor: 2.804

7.  Blind source separation of hemodynamics from magnetic resonance perfusion brain images using independent factor analysis.

Authors:  Yen-Chun Chou; Chia-Feng Lu; Wan-Yuo Guo; Yu-Te Wu
Journal:  Int J Biomed Imaging       Date:  2010-04-21

8.  The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations.

Authors:  M O Leach; K M Brindle; J L Evelhoch; J R Griffiths; M R Horsman; A Jackson; G C Jayson; I R Judson; M V Knopp; R J Maxwell; D McIntyre; A R Padhani; P Price; R Rathbone; G J Rustin; P S Tofts; G M Tozer; W Vennart; J C Waterton; S R Williams; P Workman
Journal:  Br J Cancer       Date:  2005-05-09       Impact factor: 7.640

9.  Dynamic contrast-enhanced MR imaging.

Authors:  A R Padhani
Journal:  Cancer Imaging       Date:  2000-10-11       Impact factor: 3.909

10.  Hemodynamic segmentation of brain perfusion images with delay and dispersion effects using an expectation-maximization algorithm.

Authors:  Chia-Feng Lu; Wan-Yuo Guo; Feng-Chi Chang; Shang-Ran Huang; Yen-Chun Chou; Yu-Te Wu
Journal:  PLoS One       Date:  2013-07-19       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.