title: Computer-assisted identification of the central sulcus in patients with brain tumors using MRI.
abstract: OBJECTIVE
  To develop computer-assisted image processing to identify the central sulcus from the MRI data sets in patients with brain tumors.
  
  
  METHODS
  All MR images were acquired with a 3.0 Tesla scanner by three-dimensional (3D) spoiled gradient recalled acquisition using the steady state (SPGR) gradient-echo sequence and short inversion time inversion-recovery fast spin-echo sequence. The sulci were extracted automatically from reconstructed two-dimensional images of the cortical surface of 30 patients with brain tumors, and the extracted sulci were scored according to matching of the accepted anatomical features of the central sulcus. The candidates with the three highest scores were then superimposed on the 3D images. The correct position of the central sulcus was agreed by two senior neurosurgeons and one neuroradiologist.
  
  
  RESULTS
  One of the three candidates corresponded to the central sulcus identified by the manual segmentation method for all 60 affected and unaffected hemispheres in the 30 patients. The candidate with the highest score coincided with the central sulcus in 26 of the 28 unaffected hemispheres and in 28 of the 32 affected hemispheres.
  
  
  CONCLUSIONS
  The proposed method of computer-assisted image processing can provide accurate guidance to identifying the central sulcus in patients with brain tumors.
authors.affiliation: Advanced Medical Research Center, Iwate Medical University, Iwate, Japan. uwano@iwate-med.ac.jp
authors.forename: Ikuko
authors.initials: I
authors.lastname: Uwano
authors.forename: Masashi
authors.initials: M
authors.lastname: Kameda
authors.forename: Takashi
authors.initials: T
authors.lastname: Inoue
authors.forename: Hideaki
authors.initials: H
authors.lastname: Nishimoto
authors.forename: Shunrou
authors.initials: S
authors.lastname: Fujiwara
authors.forename: Ryonoshin
authors.initials: R
authors.lastname: Hirooka
authors.forename: Akira
authors.initials: A
authors.lastname: Ogawa
mesh_terms: D000328:Adult; D000368:Aged; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000556:secondary; D003287:Contrast Media / Q000008:administration & dosage; D005260:Female; D019786:Gadolinium DTPA; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008223:Lymphoma / Q000175:diagnosis*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008579:Meningioma / Q000175:diagnosis*; D008875:Middle Aged; D018302:Neoplasms, Neuroepithelial / Q000175:diagnosis*; D015588:Observer Variation; D015203:Reproducibility of Results
chemical_list: D003287:Contrast Media; C064925:gadodiamide; D019786:Gadolinium DTPA