Literature DB >> 20878510

Development of identification of the central sulcus in brain magnetic resonance imaging.

Norio Hayashi1, Keita Sakuta, Kaori Minehiro, Masako Takanaga, Shigeru Sanada, Masayuki Suzuki, Tosiaki Miyati, Tomoyuki Yamamoto, Osamu Matsui.   

Abstract

Magnetic resonance imaging (MRI) is useful in the quantitative evaluation of brain atrophy, because the superior contrast resolution facilitates separation of the gray and white matter. Quantitative assessment of brain atrophy has mainly been performed by manual measurement, which requires considerable time and effort to determine the brain volume. Therefore, computer-aided quantitative measurement methods for the diagnosis of brain atrophy are required. We have developed a method of segmenting the cerebrum, cerebellum-brainstem, and temporal lobe simultaneously on MR images obtained in a single sequence. It is important to measure the volume of not only these regions but also the frontal lobe in clinical use. However, for segmenting the frontal lobe, it is necessary to identify the Sylvian fissure and the central sulcus, which represent boundaries. Here, we developed a method of identifying the central sulcus from MR images obtained with a 1.5 T MRI scanner. The brain and the cerebrospinal fluid (CSF) regions were segmented using semiautomated segmentation method on MR images. The central sulcus shows an oblique line from the inside to the outside on the convexity view. The almost straight appearance of the central sulcus was used for segmentation of the central sulcus from the segmented CSF images. The central sulcus was identified with this technique in 77% of the images obtained by all sequences. This technique for identifying the central sulcus is very important not only for volumetry, but also for clinical diagnosis.

Entities:  

Mesh:

Year:  2010        PMID: 20878510     DOI: 10.1007/s12194-010-0104-z

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  30 in total

1.  Efficacy of donepezil on maintenance of activities of daily living in patients with moderate to severe Alzheimer's disease and the effect on caregiver burden.

Authors:  Howard Feldman; Serge Gauthier; Jane Hecker; Bruno Vellas; Birol Emir; Vera Mastey; Ponni Subbiah
Journal:  J Am Geriatr Soc       Date:  2003-06       Impact factor: 5.562

2.  3T MR for clinical use: update.

Authors:  Hiroshi Fukatsu
Journal:  Magn Reson Med Sci       Date:  2003-04-01       Impact factor: 2.471

3.  Development of a method for reconstructing three-dimensional data from axial, sagittal, and coronal MR images.

Authors:  Norio Hayashi; Shigeru Sanada; Masayuki Suzuki; Yukihiro Matsuura; Kazuhiro Kawahara; Hideo Tsujii; Tomoyuki Yamamoto
Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi       Date:  2006-04-20

4.  Computer-assisted identification of the central sulcus in patients with brain tumors using MRI.

Authors:  Ikuko Uwano; Masashi Kameda; Takashi Inoue; Hideaki Nishimoto; Shunrou Fujiwara; Ryonoshin Hirooka; Akira Ogawa
Journal:  J Magn Reson Imaging       Date:  2008-06       Impact factor: 4.813

5.  Voxel-based morphometry to discriminate early Alzheimer's disease from controls.

Authors:  Yoko Hirata; Hiroshi Matsuda; Kiyotaka Nemoto; Takashi Ohnishi; Kentaro Hirao; Fumio Yamashita; Takashi Asada; Satoshi Iwabuchi; Hirotsugu Samejima
Journal:  Neurosci Lett       Date:  2005-04-14       Impact factor: 3.046

6.  Automatic morphology-based brain segmentation (MBRASE) from MRI-T1 data.

Authors:  R Stokking; K L Vincken; M A Viergever
Journal:  Neuroimage       Date:  2000-12       Impact factor: 6.556

7.  Changes in brain morphology in Alzheimer disease and normal aging: is Alzheimer disease an exaggerated aging process?

Authors:  T Ohnishi; H Matsuda; T Tabira; T Asada; M Uno
Journal:  AJNR Am J Neuroradiol       Date:  2001-10       Impact factor: 3.825

8.  Voxel-based morphometric comparison between early- and late-onset mild Alzheimer's disease and assessment of diagnostic performance of z score images.

Authors:  Kazunari Ishii; Takashi Kawachi; Hiroki Sasaki; Atsushi K Kono; Tetsuya Fukuda; Yoshio Kojima; Etsuro Mori
Journal:  AJNR Am J Neuroradiol       Date:  2005-02       Impact factor: 3.825

9.  Analysis of brain and cerebrospinal fluid volumes with MR imaging: impact on PET data correction for atrophy. Part II. Aging and Alzheimer dementia.

Authors:  N K Tanna; M I Kohn; D N Horwich; P R Jolles; R A Zimmerman; W M Alves; A Alavi
Journal:  Radiology       Date:  1991-01       Impact factor: 11.105

10.  Semiautomated volumetry of the cerebrum, cerebellum-brain stem, and temporal lobe on brain magnetic resonance images.

Authors:  Norio Hayashi; Shigeru Sanada; Masayuki Suzuki; Yukihiro Matsuura; Kazuhiro Kawahara; Hideo Tsujii; Tomoyuki Yamamoto; Osamu Matsui
Journal:  Radiat Med       Date:  2008-02-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.