Literature DB >> 15390147

Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images.

Egbert Gedat1, Juergen Braun, Ingolf Sack, Johannes Bernarding.   

Abstract

PURPOSE: To facilitate assessing brain tumor growth and progression of stroke lesions by reproducible slice positioning in human head magnetic resonance (MR) images, a method for prospective registration is proposed that adjusts the image slice position without moving the patient and with no additional scans.
MATERIALS AND METHODS: The gradient reference frame of follow-up examinations was adjusted to achieve the same image slice positioning relative to the patient as in the previous examination. The three-dimensional geometrical transformation parameters for the gradients were determined using two-dimensional image registration of three orthogonal localizer images. The method was developed and evaluated using a phantom with arbitrarily adjustable position. Feasibility for in vivo applications was demonstrated with brain MR imaging (MRI) of healthy volunteers.
RESULTS: Standard retrospective registration was used for assessing the quality of the method. The accuracy of the realignment was 0.0 mm +/- 1.2 mm and -0.2 degrees +/- 0.9 degrees (mean +/- SD) in phantom experiments. In 10 examinations of volunteers, misalignments up to 49.2 mm and 21 degrees were corrected. The accuracy of the realignment after prospective registration was 0.1 mm +/- 1.5 mm and 0.2 degrees +/- 1.5 degrees.
CONCLUSION: Image-based prospective registration using localizer images of the pre- and postexaminations is a robust method for reproducible slice positioning. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2004        PMID: 15390147     DOI: 10.1002/jmri.20153

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


  9 in total

1.  Fast prospective registration of in vivo MR images of trabecular bone microstructure in longitudinal studies.

Authors:  Chamith S Rajapakse; Jeremy F Magland; Felix W Wehrli
Journal:  Magn Reson Med       Date:  2008-05       Impact factor: 4.668

2.  Automatic repositioning of MRSI voxels in longitudinal studies: impact on reproducibility of metabolite concentration measurements.

Authors:  Eva-Maria Ratai; Ileana Hancu; Daniel J Blezek; Katherine W Turk; Elkan Halpern; R Gilberto González
Journal:  J Magn Reson Imaging       Date:  2008-05       Impact factor: 4.813

3.  Automatic voxel positioning for MRS at 7 T.

Authors:  Weiqiang Dou; Oliver Speck; Thomas Benner; Jörn Kaufmann; Meng Li; Kai Zhong; Martin Walter
Journal:  MAGMA       Date:  2014-11-20       Impact factor: 2.310

4.  Synchronized navigation of current and prior studies using image registration improves radiologist's efficiency.

Authors:  Daniel Forsberg; Amit Gupta; Christopher Mills; Brett MacAdam; Beverly Rosipko; Barbara A Bangert; Michael D Coffey; Christos Kosmas; Jeffrey L Sunshine
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-11-26       Impact factor: 2.924

5.  Reproducibility of scan prescription in follow-up brain MRI: manual versus automatic determination.

Authors:  Shinya Kojima; Masami Hirata; Hiroyuki Shinohara; Eiko Ueno
Journal:  Radiol Phys Technol       Date:  2013-04-11

6.  Automated prescription of oblique brain 3D magnetic resonance spectroscopic imaging.

Authors:  Eugene Ozhinsky; Daniel B Vigneron; Susan M Chang; Sarah J Nelson
Journal:  Magn Reson Med       Date:  2012-06-12       Impact factor: 4.668

7.  Effects of slice thickness and head rotation when measuring glioma sizes on MRI: in support of volume segmentation versus two largest diameters methods.

Authors:  Pierre Schmitt; Emmanuel Mandonnet; Adrien Perdreau; Elsa D Angelini
Journal:  J Neurooncol       Date:  2013-02-09       Impact factor: 4.130

8.  Automated Voxel Placement: A Linux-based Suite of Tools for Accurate and Reliable Single Voxel Coregistration.

Authors:  Eric A Woodcock; Muzamil Arshad; Dalal Khatib; Jeffrey A Stanley
Journal:  J Neuroimaging Psychiatry Neurol       Date:  2018-02-08

9.  Image registration improves confidence and accuracy of image interpretation.

Authors:  Bradley J Erickson; Julia Patriarche; Christopher Wood; Norbert Campeau; E Paul Lindell; Vladimir Savcenko; Norman Arslanlar; Liqin Wang
Journal:  Cancer Inform       Date:  2007-05-12
  9 in total

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