Surface reconstruction of renal corpuscle from microscope renal biopsy image sequence

Research output: Contribution to journalArticle

Abstract

The three dimensional (3D) reconstruction of a medical image sequence can provide intuitive morphologies of a target and help doctors to make more reliable diagnosis and give a proper treatment plan. This paper aims to reconstruct the surface of a renal corpuscle from the microscope renal biopsy image sequence. First, the contours of renal corpuscle in all slices are extracted automatically by using a context-based segmentation method with a coarse registration. Then, a new coevolutionarybased strategy is proposed to realize a fine registration. Finally, a Gauss-Seidel iteration method is introduced to achieve a non-rigid registration. Benefiting from the registrations, a smooth surface of the target can be reconstructed easily. Experimental results prove that the proposed method can effectively register the contours and give an acceptable surface for medical doctors.

Original languageEnglish
Pages (from-to)2539-2546
Number of pages8
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE99A
Issue number12
DOIs
Publication statusPublished - 2016 Dec 1

Keywords

  • Coevolutionary strategy
  • Gauss-Seidel iteration
  • Non-rigid registration
  • Rigid registration
  • Surface reconstruction

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Surface reconstruction of renal corpuscle from microscope renal biopsy image sequence'. Together they form a unique fingerprint.

Cite this