Research Papers: Imaging

Toward surface quantification of liver fibrosis progression

[+] Author Affiliations
Yuting He

Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and A*STAR, Institute of Bioengineering and Nanotechnology, Singapore 138669

Chiang Huen Kang

A*STAR, Institute of Bioengineering and Nanotechnology, Singapore 138669

Shuoyu Xu

Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and A*STAR, Institute of Bioengineering and Nanotechnology, Singapore 138669 and Nanyang Technological University, School of Computer Engineering, Singapore 639798

Xiaoye Tuo

Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and A*STAR, Institute of Bioengineering and Nanotechnology, Singapore 138669 and Peoples Liberation Army General Hospital, Affiliated Hospital 1, Department Burns & Plastic Surgery, Beijing 100037, China

Scott Trasti

National University of Singapore, Comparative Medicine, Singapore 117456

Dean C. S. Tai

A*STAR, Institute of Bioengineering and Nanotechnology, Singapore 138669

Anju Mythreyi Raja

A*STAR, Institute of Bioengineering and Nanotechnology, Singapore 138669 and National University of Singapore, Graduate School for Integrative Science and Engineering, Singapore 117456

Qiwen Peng

Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and A*STAR, Institute of Bioengineering and Nanotechnology, Singapore 138669

Peter T. C. So

Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139

Jagath C. Rajapakse

Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and Nanyang Technological University, School of Computer Engineering, Singapore 639798 and Massachusetts Institute of Technology, Division of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139

Roy Welsch

Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and Massachusetts Institute of Technology, Sloan School of Management, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139?

Hanry Yu

Singapore-MIT Alliance, E4-04-10, 4 Engineering Drive 3, Singapore 117576 and A*STAR, Institute of Bioengineering and Nanotechnology, Singapore 138669 and National University of Singapore, Graduate School for Integrative Science and Engineering, Singapore 117456 and National University of Singapore, Department of Physiology, 2 Medical Drive, Singapore 117597 and National University of Singapore, Mechanobiology Institute, T-Labs, 5A Engineering Drive 1, Singapore 117411

J. Biomed. Opt. 15(5), 056007 (September 24, 2010). doi:10.1117/1.3490414
History: Received May 04, 2010; Revised August 03, 2010; Accepted August 09, 2010; Published September 24, 2010; Online September 24, 2010
Text Size: A A A

Monitoring liver fibrosis progression by liver biopsy is important for certain treatment decisions, but repeated biopsy is invasive. We envision redefinition or elimination of liver biopsy with surface scanning of the liver with minimally invasive optical methods. This would be possible only if the information contained on or near liver surfaces accurately reflects the liver fibrosis progression in the liver interior. In our study, we acquired the second-harmonic generation and two-photon excitation fluorescence microscopy images of liver tissues from bile duct-ligated rat model of liver fibrosis. We extracted morphology-based features, such as total collagen, collagen in bile duct areas, bile duct proliferation, and areas occupied by remnant hepatocytes, and defined the capsule and subcapsular regions on the liver surface based on image analysis of features. We discovered a strong correlation between the liver fibrosis progression on the anterior surface and interior in both liver lobes, where biopsy is typically obtained. The posterior surface exhibits less correlation with the rest of the liver. Therefore, scanning the anterior liver surface would obtain similar information to that obtained from biopsy for monitoring liver fibrosis progression.

Figures in this Article
© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Yuting He ; Chiang Huen Kang ; Shuoyu Xu ; Xiaoye Tuo ; Scott Trasti, et al.
"Toward surface quantification of liver fibrosis progression", J. Biomed. Opt. 15(5), 056007 (September 24, 2010). ; http://dx.doi.org/10.1117/1.3490414


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.