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Technical innovations in imaging sciences


Echo planar diffusion-weighted imaging: possibilities and considerations with 12- and 32-channel head coils

John N MorelliMegan R SaetteleRajesh A RangaswamyLan VuClint M GerdesWei ZhangFei Ai
Scott and White Hospital/Texas A&M HSC, University of Missouri ‑ Kansas City/St. Luke’s Hospital, USA, Tongji Hospital, Huazhong University of Science and Technology, Cancer Center of SUN YAT‑SEN University, Republic of China
Date of Submission: 30-Jan-2012, Date of Acceptance: 03-Apr-2012, Date of Web Publication: 23-May-2012.
Corresponding Author:
Corresponding Author

John N Morelli

E-mail: dr.john.morelli@gmail.com

Corresponding Author:
Corresponding Author

John N Morelli

E-mail: dr.john.morelli@gmail.com

DOI: 10.4103/2156-7514.96548 Facebook Twitter Google Linkedin

ABSTRACT


Interest in clinical brain magnetic resonance imaging using 32-channel head coils for signal reception continues to increase. The present investigation assesses possibilities for improving diffusion-weighted image quality using a 32-channel in comparison to a conventional 12-channel coil. The utility of single-shot (ss) and an approach to readout-segmented (rs) echo planar imaging (EPI) are examined using both head coils. Substantial image quality improvements are found with rs-EPI. Imaging with a 32-channel head coil allows for implementation of greater parallel imaging acceleration factors or acquisition of scans at a higher resolution. Specifically, higher resolution imaging with rs-EPI can be achieved by increasing the number of readout segments without increasing echo-spacing or echo time to the degree necessary with ss-EPI - a factor resulting in increased susceptibility artifact and reduced signal-to-noise with the latter.
Keywords: 3 Tesla MRI, Diffusion-weighted Imaging, Echo Planar Imaging

Cited in 6 Documents

  1. Adarsh Ghosh, Tulika Singh, Veenu Singla, Rashmi Bagga, Radhika Srinivasan and Niranjan Khandelwal (2018) Read-out segmented echo planar diffusion imaging of the female pelvis–utility in endometrial carcinoma–a preliminary experience. BJR 91(1090):20180018. doi: 10.1259/bjr.20180018
  2. O. Algin, H. Aydın, E. Ozmen, G. Ocakoglu, S. Bercin, D.A. Porter and A. Kutluhan (2017) Detection of cholesteatoma: High-resolution DWI using RS-EPI and parallel imaging at 3 tesla. Journal of Neuroradiology 44(6):388. doi: 10.1016/j.neurad.2017.05.006
  3. Katharina Erb-Eigner, Gregor Willerding, Matthias Taupitz, Bernd Hamm and Patrick Asbach (2013) Diffusion-Weighted Imaging of Ocular Melanoma. Investigative Radiology 48(10):702. doi: 10.1097/RLI.0b013e31828eea67
  4. Val M. Runge (2013) Current Technological Advances in Magnetic Resonance With Critical Impact for Clinical Diagnosis and Therapy. Investigative Radiology 48(12):869. doi: 10.1097/01.rli.0000434380.71793.d3
  5. Hazem M. El Shahat, Hadeer S. Fahmy and Ghada K. Gouhar (2013) Characterization of head and neck lesions with diffusion-weighted MR imaging and the apparent diffusion coefficient values. The Egyptian Journal of Radiology and Nuclear Medicine 44(4):791. doi: 10.1016/j.ejrnm.2013.08.002
  6. John Morelli, David Porter, Fei Ai, Clint Gerdes, Megan Saettele, Thorsten Feiweier, Abraham Padua, James Dix, Michael Marra, Rajesh Rangaswamy and Val Runge (2013) Clinical Evaluation of Single-Shot and Readout-Segmented Diffusion-Weighted Imaging in Stroke Patients at 3 T. Acta Radiol 54(3):299. doi: 10.1258/ar.2012.120541

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