Literature DB >> 10722976

Improving image quality and T(1) measurements using saturation recovery turboFLASH with an approximate K-space normalisation filter.

G J Parker1, I Baustert, S F Tanner, M O Leach.   

Abstract

We present a method for reducing the image point-spread function and measuring T(1) using saturation recovery turboFLASH (SRTF) with centric-ordered k-space and a k-space correction filter designed to compensate for longitudinal magnetisation evolution during image acquisition. The method provides a two point T(1) measurement that reduces inaccuracies and image artefacts caused by longitudinal magnetisation evolution in conventional turboFLASH methods. The method is designed for use in rapid, quantitative measurements of contrast agent uptake in vivo.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10722976     DOI: 10.1016/s0730-725x(99)00124-1

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  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

2.  Three-Dimensional GRE T mapping of the brain using tailored variable flip-angle scheduling.

Authors:  Casey P Johnson; Daniel R Thedens; Stanley J Kruger; Vincent A Magnotta
Journal:  Magn Reson Med       Date:  2020-02-12       Impact factor: 4.668

3.  Myocardial perfusion MRI with an undersampled 3D stack-of-stars sequence.

Authors:  Liyong Chen; Ganesh Adluru; Matthias C Schabel; Chris J McGann; Edward V R Dibella
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

4.  Rapid B1+ mapping using a preconditioning RF pulse with TurboFLASH readout.

Authors:  Sohae Chung; Daniel Kim; Elodie Breton; Leon Axel
Journal:  Magn Reson Med       Date:  2010-08       Impact factor: 4.668

5.  A revisit of the k-space filtering effects of magnetization-prepared 3D FLASH and balanced SSFP acquisitions: Analytical characterization of the point spread functions.

Authors:  Dan Zhu; Qin Qin
Journal:  Magn Reson Imaging       Date:  2022-02-01       Impact factor: 2.546

6.  The role of magnetic resonance imaging (MRI) in prostate cancer imaging and staging at 1.5 and 3 Tesla: the Beth Israel Deaconess Medical Center (BIDMC) approach.

Authors:  B Nicolas Bloch; Robert E Lenkinski; Neil M Rofsky
Journal:  Cancer Biomark       Date:  2008       Impact factor: 4.388

7.  Simultaneous dynamic T1 and T2* measurement for AIF assessment combined with DCE MRI in a mouse tumor model.

Authors:  Melanie Heilmann; Christine Walczak; Julien Vautier; Jean-Luc Dimicoli; Carole D Thomas; Mihaela Lupu; Joël Mispelter; Andreas Volk
Journal:  MAGMA       Date:  2007-10-11       Impact factor: 2.310

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.  Validation of High-Resolution Tractography Against In Vivo Tracing in the Macaque Visual Cortex.

Authors:  Hojjatollah Azadbakht; Laura M Parkes; Hamied A Haroon; Mark Augath; Nikos K Logothetis; Alex de Crespigny; Helen E D'Arceuil; Geoffrey J M Parker
Journal:  Cereb Cortex       Date:  2015-03-18       Impact factor: 5.357

Review 10.  Perfusion magnetic resonance imaging: a comprehensive update on principles and techniques.

Authors:  Geon-Ho Jahng; Ka-Loh Li; Leif Ostergaard; Fernando Calamante
Journal:  Korean J Radiol       Date:  2014-09-12       Impact factor: 3.500

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.