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

نویسندگان

  • Gang Chen
  • Lixu Gu
چکیده

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 MRI series and the result reveals that after extracting liver’s rough boundary by active contours, precise perfusion positions can be detected by the modified chamfer matching algorithm, and finally a refined intensity curve without respiration affection can be achieved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Boosting Chamfer Matching by Learning Chamfer Distance Normalization

We propose a novel technique that significantly improves the performance of oriented chamfer matching on images with cluttered background. Different to other matching methods, which only measures how well a template fits to an edge map, we evaluate the score of the template in comparison to auxiliary contours, which we call normalizers. We utilize AdaBoost to learn a Normalized Oriented Chamfer...

متن کامل

Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching

Standard chamfer matching techniques and their state-ofthe-art extensions are utilizing object contours which only measure the mere sum of location and orientation differences of contour pixels. In our approach we are increasing the specificity of the model contour by learning the relative importance of all model points instead of treating them as independent. However, chamfer matching is still...

متن کامل

Shape Context and Chamfer Matching in Cluttered Scenes

This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to the shape context: Shape contexts are used to find corresponding features between model and image. In real images it is shown that the shape context is highly influenced by clutter, furthermore even when the object is...

متن کامل

Graph-based Inference with Constraints for Object Detection and Segmentation

For many fundamental problems of computer vision, adopting a graph-based framwork can be straight-forward and very effective. In this thesis, I propose several graph-based inference methods tailored for different computer vision applications. It starts from studying contour-based object detection methods. Compared to other image cues, the outline contour (silhouette) is invariant to lighting co...

متن کامل

A Novel Level Set Based Shape Prior Method for Liver Segmentation from MRI Images

Liver segmentation in MR Image is the first step of our automated liver perfusion analysis project. Traditional Level Set methods and active contours were often used to segment the liver, but the results were not always promising due to noise and the low gradient response on the liver boundary. In this paper we propose a novel level set based variational approach that incorporates shape prior k...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006