Literature DB >> 15662802

Analyzing 3-tesla magnetic resonance imaging units for implementation in radiosurgery.

Andreas Mack1, Robert Wolff, Stefan Scheib, Marcus Rieker, Dirk Weltz, G Mack, Hans-Jürg Kreiner, Ulrich Pilatus, Friedhelm E Zanella, Heinz D Böttcher, Volker Seifert.   

Abstract

OBJECT: The limiting factor affecting accuracy during gamma knife surgery is image quality. The new generation of magnetic resonance (MR) imaging units with field strength up to 3 teslas promise superior image quality for anatomical resolution and contrast. There are, however, questions about chemical shifts or susceptibility effects, which are the subject of this paper.
METHODS: The 3-tesla MR imaging unit (Siemens Trio) was analyzed and compared with a 1-tesla unit (Siemens Magnetom Expert) and to a 1.5-tesla unit (Philips Gyroscan). Evaluation of the magnitude of error was performed within transverse slices in two orientations (axial/coronal) by using a cylindrical phantom with an embedded grid. Deviations were determined for 21 targets in a slab phantom with known geometrical positions within the stereotactic frame. Distortions caused by chemical shift and/or susceptibility effects were analyzed in a head phantom. Inhouse software was used for data analyses. The mean deviation was less than 0.3 mm in axial and less than 0.4 mm in coronal orientations. For the known targets the maximum deviation was 1.16 mm. By optimizing these parameters in the protocol these inaccuracies could be reduced to less than 1.1 mm. Due to inhomogeneities a shift in the z direction of up to 1.5 mm was observed for a dataset, which was shown to be compressed by 1.2 mm.
CONCLUSIONS: The 3-tesla imaging unit showed superior anatomical contrast and resolution in comparison with the established 1-tesla and 1.5-tesla units; however, due to the high field strength the field within the head coil is very sensitive to inhomogeneities and therefore 3-tesla imaging data will have be handled with care.

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Year:  2005        PMID: 15662802     DOI: 10.3171/jns.2005.102.s_supplement.0158

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  7 in total

1.  Direct visualization of deep brain stimulation targets in Parkinson disease with the use of 7-tesla magnetic resonance imaging.

Authors:  Zang-Hee Cho; Hoon-Ki Min; Se-Hong Oh; Jae-Yong Han; Chan-Woong Park; Je-Geun Chi; Young-Bo Kim; Sun Ha Paek; Andres M Lozano; Kendall H Lee
Journal:  J Neurosurg       Date:  2010-09       Impact factor: 5.115

Review 2.  Unyielding progress: recent advances in the treatment of central nervous system neoplasms with radiosurgery and radiation therapy.

Authors:  Dale Ding; Chun-Po Yen; Robert M Starke; Cheng-Chia Lee; Jason P Sheehan
Journal:  J Neurooncol       Date:  2014-08-14       Impact factor: 4.130

3.  Neurovascular radiosurgery.

Authors:  M Söderman; W Y Guo; B Karlsson; D M Pelz; E Ulfarsson; T Andersson
Journal:  Interv Neuroradiol       Date:  2006-12-13       Impact factor: 1.610

4.  Reliability of stereotactic coordinates of 1.5-tesla and 3-tesla MRI in radiosurgery and functional neurosurgery.

Authors:  Hae Yu Kim; Sun-Il Lee; Seong Jin Jin; Sung-Chul Jin; Jung Soo Kim; Kyoung Dong Jeon
Journal:  J Korean Neurosurg Soc       Date:  2014-03-31

5.  Image fusion pitfalls for cranial radiosurgery.

Authors:  Benjamin P Jonker
Journal:  Surg Neurol Int       Date:  2013-04-17

6.  Geometric accuracy of 3D coordinates of the Leksell stereotactic skull frame in 1.5 Tesla- and 3.0 Tesla-magnetic resonance imaging: a comparison of three different fixation screw materials.

Authors:  Hisato Nakazawa; Yoshimasa Mori; Osamu Yamamuro; Masataka Komori; Yuta Shibamoto; Yukio Uchiyama; Takahiko Tsugawa; Masahiro Hagiwara
Journal:  J Radiat Res       Date:  2014-07-17       Impact factor: 2.724

7.  MRI-Related Geometric Distortions in Stereotactic Radiotherapy Treatment Planning: Evaluation and Dosimetric Impact.

Authors:  Eleftherios P Pappas; Mukhtar Alshanqity; Argyris Moutsatsos; Hani Lababidi; Khalid Alsafi; Konstantinos Georgiou; Pantelis Karaiskos; Evangelos Georgiou
Journal:  Technol Cancer Res Treat       Date:  2017-10-11
  7 in total

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