15
Views
0
CrossRef citations to date
0
Altmetric
Original Article

Studies on new MR venography in cerebral areas

, , , &
Pages 396-402 | Accepted 21 Mar 2012, Published online: 12 Nov 2013
 

Abstract

Three-dimensional time of flight (3D TOF) venography images that had been used in magnetic resonance (MR) venography were compared with venography images in which the three-dimensional spoiled gradient-recalled (3D SPGR) sequence had been applied to evaluate the utility of the new MR venography images. From September 2010 to May 2011, venography images with 3D TOF venography or 3D SPGR sequence applied were obtained in 30 healthy individuals without a prior disease history and without brain diseases using 3·0 T MR imaging equipment. The acquired images were analysed qualitatively. On the sagittal images, the level of anatomical description of the internal cerebral vein (IVC), basal vein (BV), vein of Galen (VG), superior cerebral veins and sinus confluence (SC) was evaluated. On the coronal images, the level of anatomical description of the superior sagittal sinus (SSS), inferior sagittal sinus (ISS), sagittal sinus (SS) and transverse sinus (TS) was evaluated. The results show that the anatomical descriptions of the IVC, BV and SCV were comparable on the sagittal images, whereas the anatomical description of the VG was superior on the 3D SPGR venography images. On the coronal images, the anatomical descriptions of the SSS, ISS, SS and TS were comparable.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 305.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.