Cirrhosis of liver may cause structural distortion of entire liver by fibrosis and parenchymal nodules, in which the image findings in MR/CT images can be interpreted by shape, texture, volume, elasticity analysis and so on. To ease the workload of radiologists from interpretation of the numerous medical images, an online Computer-aided diagnosis (CAD) system on liver has been developing for quantifying the diagnosis of fibrosis. Several technologies regarding image processing and pattern recognition are introduced in this paper, including Shape, Texture, Volume, Elasticity Analysis and Edge computing with FPGA acceleration. The results by the novel methods on the non-invasive assessment of liver fibrosis as well as the role of our CAD scheme to replace traditional liver biopsy will be presented and discussed.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.