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Feasibility of Using Ultra-High Field (7 T) MRI for Clinical Surgical Targeting

Overview of attention for article published in PLOS ONE, May 2012
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Title
Feasibility of Using Ultra-High Field (7 T) MRI for Clinical Surgical Targeting
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0037328
Pubmed ID
Authors

Yuval Duchin, Aviva Abosch, Essa Yacoub, Guillermo Sapiro, Noam Harel

Abstract

The advantages of ultra-high magnetic field (7 Tesla) MRI for basic science research and neuroscience applications have proven invaluable. Structural and functional MR images of the human brain acquired at 7 T exhibit rich information content with potential utility for clinical applications. However, (1) substantial increases in susceptibility artifacts, and (2) geometrical distortions at 7 T would be detrimental for stereotactic surgeries such as deep brain stimulation (DBS), which typically use 1.5 T images for surgical planning. Here, we explore whether these issues can be addressed, making feasible the use of 7 T MRI to guide surgical planning. Twelve patients with Parkinson's disease, candidates for DBS, were scanned on a standard clinical 1.5 T MRI and a 7 T MRI scanner. Qualitative and quantitative assessments of global and regional distortion were evaluated based on anatomical landmarks and transformation matrix values. Our analyses show that distances between identical landmarks on 1.5 T vs. 7 T, in the mid-brain region, were less than one voxel, indicating a successful co-registration between the 1.5 T and 7 T images under these specific imaging parameter sets. On regional analysis, the central part of the brain showed minimal distortion, while inferior and frontal areas exhibited larger distortion due to proximity to air-filled cavities. We conclude that 7 T MR images of the central brain regions have comparable distortions to that observed on a 1.5 T MRI, and that clinical applications targeting structures such as the STN, are feasible with information-rich 7 T imaging.

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The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Czechia 1 <1%
France 1 <1%
Austria 1 <1%
Unknown 112 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 23%
Researcher 26 22%
Student > Bachelor 10 8%
Student > Master 8 7%
Professor > Associate Professor 7 6%
Other 22 18%
Unknown 20 17%
Readers by discipline Count As %
Medicine and Dentistry 29 24%
Neuroscience 21 18%
Engineering 12 10%
Psychology 7 6%
Physics and Astronomy 7 6%
Other 13 11%
Unknown 31 26%