A Novel Liver Perfusion Analysis Based on Active Contours and Chamfer Matching

  title={A Novel Liver Perfusion Analysis Based on Active Contours and Chamfer Matching},
  author={Gang Chen and Lixu Gu},
Liver Perfusion gives important information about blood supply of liver. However, in daily clinical diagnosis, radiologists have to manually mark the perfusion position in time-sequence images due to the motion of liver caused by respiration. In this paper, we propose a novel hybrid method using a variation of active contours and modified chamfer matching to automatically detect the liver perfusion position and measure the intensity with a single shape prior. The experiment is taken on abdomen… 

An Improved Level Set for Liver Segmentation and Perfusion Analysis in MRIs

A multiple-initialization, multiple-step LSM is proposed to overcome the leakage and over-segmentation problems and obtained better liver segmentation results, so that a refined liver perfusion curve without respiration affection can be obtained.

Automatic Liver segmentation Using Vector Field Convolution and Artificial Neural Network in MRI Images

A new automatic system for liver segmentation in abdominal MRI images using a combined algorithm which utilizes a contour algorithm with a Vector Field Convolution (VFC) field as its external force and perceptron neural network.

Bayesian co-segmentation of multiple MR images

This work proposes a Bayesian co-segmentation algorithm where the shared information across images is utilized via a Markov random field prior, and a Gibbs sampler is employed for efficient posterior sampling.



A novel liver perfusion analysis method

  • S. NowozinLixu Gu
  • Computer Science
    2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
  • 2005
The results show that level set methods can be used to provide the necessary segmentation shape data to reliably measure local image intensities positioned relative to this shape throughout a time series, where the location and shape of the object to be tracked changes.

An O(N log N) algorithm for shape modeling.

  • R. MalladiJ. Sethian
  • Computer Science
    Proceedings of the National Academy of Sciences of the United States of America
  • 1996
This algorithm models extremely corrugated structures like the brain, is topologically adaptable, and runs in O(N log N) time, where N is the total number of points in the domain.

Active contours without edges

  • T. ChanL. Vese
  • Computer Science, Mathematics
    IEEE Trans. Image Process.
  • 2001
We propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets. Our model can

Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm

  • G. Borgefors
  • Computer Science
    IEEE Trans. Pattern Anal. Mach. Intell.
  • 1988
The hierarchical chamfer matching algorithm matches edges by minimizing a generalized distance between them in a hierarchical structure, i.e. in a resolution pyramid, which reduces the computational load significantly.

Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching

The matching of image and map features is performed rapidly by a new technique, called "chamfer matching", that compares the shapes of two collections of shape fragments, at a cost proportional to linear dimension, rather than area.

A fast marching level set method for monotonically advancing fronts.

  • J. Sethian
  • Computer Science
    Proceedings of the National Academy of Sciences of the United States of America
  • 1996
A fast marching level set method is presented for monotonically advancing fronts, which leads to an extremely fast scheme for solving the Eikonal equation. Level set methods are numerical techniques

Analyzing Oriented Patterns

Hepatic perfusion after liver transplantation: noninvasive measurement with dynamic single-section CT.

Arterial hepatic perfusion was significantly increased after orthotopic liver transplantation, but differences in portal venous and total liver perfusion were not significant.