title: A new method for characterization of low grade gliomas using ultra low field magnetic resonance imaging.
abstract: Low grade gliomas were studied with ultra low field magnetic resonance imaging (ULF MRI). The tumors exhibited high tissue contrast in both T1 and T2-weighted images as compared to normal brain tissue. Moreover they were sharply delineated towards the surrounding brain tissue. When compared with X-ray computed tomography the tumors were more readily detected and delineated by using ultra-low field magnetic imaging. A computer-assisted classification procedure was used to define new regions of interest for relaxation time estimations. By using this procedure more accurate estimations of the T1 and T2 values were obtained.
authors.affiliation: Karolinska Institute, Department of Psychiatry, St Göran's Hospital, Stockholm, Sweden.
authors.forename: L O
authors.initials: LO
authors.lastname: Wahlund
authors.forename: J
authors.initials: J
authors.lastname: Boethius
authors.forename: E
authors.initials: E
authors.lastname: Kindstrand
authors.forename: O
authors.initials: O
authors.lastname: Marions
authors.forename: J
authors.initials: J
authors.lastname: Sääf
authors.forename: L
authors.initials: L
authors.lastname: Wetterberg
mesh_terms: D000328:Adult; D000368:Aged; D001932:Brain Neoplasms / Q000145:classification / Q000175:diagnosis* / Q000000981:diagnostic imaging; D003936:Diagnosis, Computer-Assisted; D005260:Female; D005910:Glioma / Q000145:classification / Q000175:diagnosis* / Q000000981:diagnostic imaging; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D014057:Tomography, X-Ray Computed