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A within-coil optical prospective motion-correction system for brain imaging at 7T.
DiGiacomo, Phillip; Maclaren, Julian; Aksoy, Murat; Tong, Elizabeth; Carlson, Mackenzie; Lanzman, Bryan; Hashmi, Syed; Watkins, Ronald; Rosenberg, Jarrett; Burns, Brian; Skloss, Timothy W; Rettmann, Dan; Rutt, Brian; Bammer, Roland; Zeineh, Michael.
Afiliação
  • DiGiacomo P; Department of Bioengineering, Stanford University, Stanford, California.
  • Maclaren J; Department of Radiology, Stanford University, Stanford, California.
  • Aksoy M; Department of Radiology, Stanford University, Stanford, California.
  • Tong E; Department of Radiology, Stanford University, Stanford, California.
  • Carlson M; Department of Bioengineering, Stanford University, Stanford, California.
  • Lanzman B; Department of Radiology, Stanford University, Stanford, California.
  • Hashmi S; Department of Radiology, Stanford University, Stanford, California.
  • Watkins R; Department of Radiology, Stanford University, Stanford, California.
  • Rosenberg J; Department of Radiology, Stanford University, Stanford, California.
  • Burns B; Applied Sciences Lab West, GE Healthcare, Menlo Park, California.
  • Skloss TW; MR Advanced Systems, GE Healthcare, Waukesha, Wisconsin.
  • Rettmann D; MR Applications and Workflow, GE Healthcare, Rochester, Minnesota.
  • Rutt B; Department of Bioengineering, Stanford University, Stanford, California.
  • Bammer R; Department of Radiology, Stanford University, Stanford, California.
  • Zeineh M; Department of Radiology, University of Melbourne, Melbourne, Australia.
Magn Reson Med ; 84(3): 1661-1671, 2020 09.
Article em En | MEDLINE | ID: mdl-32077521
ABSTRACT

PURPOSE:

Motion artifact limits the clinical translation of high-field MR. We present an optical prospective motion correction system for 7 Tesla MRI using a custom-built, within-coil camera to track an optical marker mounted on a subject.

METHODS:

The camera was constructed to fit between the transmit-receive coils with direct line of sight to a forehead-mounted marker, improving upon prior mouthpiece work at 7 Tesla MRI. We validated the system by acquiring a 3D-IR-FSPGR on a phantom with deliberate motion applied. The same 3D-IR-FSPGR and a 2D gradient echo were then acquired on 7 volunteers, with/without deliberate motion and with/without motion correction. Three neuroradiologists blindly assessed image quality. In 1 subject, an ultrahigh-resolution 2D gradient echo with 4 averages was acquired with motion correction. Four single-average acquisitions were then acquired serially, with the subject allowed to move between acquisitions. A fifth single-average 2D gradient echo was acquired following subject removal and reentry.

RESULTS:

In both the phantom and human subjects, deliberate and involuntary motion were well corrected. Despite marked levels of motion, high-quality images were produced without spurious artifacts. The quantitative ratings confirmed significant improvements in image quality in the absence and presence of deliberate motion across both acquisitions (P < .001). The system enabled ultrahigh-resolution visualization of the hippocampus during a long scan and robust alignment of serially acquired scans with interspersed movement.

CONCLUSION:

We demonstrate the use of a within-coil camera to perform optical prospective motion correction and ultrahigh-resolution imaging at 7 Tesla MRI. The setup does not require a mouthpiece, which could improve accessibility of motion correction during 7 Tesla MRI exams.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Artefatos Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Artefatos Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article