• DocumentCode
    2727574
  • Title

    Computer-aided diagnosis system for acute stroke using diffusion weighted images with volume calculation

  • Author

    Lee, J.-D. ; Chang, T.C. ; Huang, C.H. ; Wu, S.J. ; Chen, C.J.

  • Author_Institution
    Dept. of Electr. Eng, Chang Gung Univ., Tao-Yuan, Taiwan
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    1529
  • Lastpage
    1532
  • Abstract
    The diffusion weighted image (DWI) technique is routinely used for diagnosis and treatment of early stroke due to its superior performance, especially when it is compared with conventional magnetic resonance image (MRI) for detection of acute ischemic stroke. Using DWI examination, This work has proposed a computer-aided diagnosis system, which can effectively calculate the volume size of a lesion and provide clinical doctor the 3D reconstruction data of the lesion. The potential benefits of using our system include the higher accuracy of acute stroke lesion definition, the reduced time and procedure of calculating the volume of a lesion, and providing 3D reconstruction image of stroke patients, which can effectively assist doctors in making more accurate diagnoses and treating patients in a more convenient way. Compared with the traditional method, the experimental results have shown the superior performance of this proposed system.
  • Keywords
    biomedical MRI; brain; image reconstruction; medical image processing; shape measurement; volume measurement; 3D reconstruction; acute ischemic stroke; computer-aided diagnosis system; diffusion weighted image technique; lesion; volume size calculation; Brain; Computed tomography; Computer aided diagnosis; Diagnostic radiography; Drugs; Image reconstruction; Lesions; Magnetic resonance; Magnetic resonance imaging; Medical treatment; MRI; diffusion weighted image; stroke; volume;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403468
  • Filename
    1403468