Interactive segmentation of the breast region from digitized mammograms with united snakes

نویسندگان

  • Tiina Ojala
  • Jianming Liang
  • Janne Näppi
  • Olli Nevalainen
چکیده

The segmentation of a digital mammogram into breast region and film background is a necessary prerequisite in the computer-assisted diagnosis of mammograms. The segmentation method should be robust enough to handle a wide variety of digital mammograms obtained from different image acquisition systems. In addition, the large size of digitized mammograms requires an efficient image processing system. In this paper, a sofware package called United Snakes for interactive medical image segmentation is evaluated for segmenting the breast region from mammograms. The united snakes technique combines the livewire method with a group of most important snake variants united within a general framework. The advantages of the system are generality, accuracy, ease of use and robustness. Practical tests showed that the method gives an accurate segmentation result with only few user interactions.

برای دانلود رایگان 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

United Snakes

Since their debut in 1987, snakes (active contour models) have become a standard image analysis technique with several variants now in common use. We present a framework called "United Snakes", which has two key features. First, it unifies the most popular snake variants, including finite difference, B-spline, and Hermite polynomial snakes in a consistent finite element formulation, thus expand...

متن کامل

Contrast Enhancement of Mammograms for Rapid Detection of Microcalcification Clusters

Introduction Breast cancer is one of the most common types of cancer among women.  Early detection of breast cancer is the key to reducing the associated mortality rate. The presence of microcalcifications clusters (MCCs) is one of the earliest signs of breast cancer. Due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...

متن کامل

Computer-Aided Mass Detection on Digitized Mammograms using a Novel Hybrid Segmentation System

A Novel hybrid segmentation method has been developed for detection of masses in digitized mammograms using three parallel approaches: adaptive thresholding method, Gabor filtering and fuzzy entropy feature as a computer-aided detection(CAD) scheme. The algorithm consists of the following steps: a) Preprocessing of the digitized mammograms including identification of region of interest (ROI) as...

متن کامل

Statistical Segmentation of Regions of Interest on a Mammographic Image

This paper deals with segmentation of breast anatomical regions, pectoral muscle, fatty and fibroglandular regions, using a Bayesian approach. This work is a part of a computer aided diagnosis project aiming at evaluating breast cancer risk and its association with characteristics (density, texture, etc.) of regions of interest on digitized mammograms. Novelty in this paper consists in applying...

متن کامل

A Hybrid System for Detection of Masses in Digitized Mammograms

In this paper, a hybrid segmentation method for detection of masses in digitized mammograms has been developed using three parallel approaches: adaptive thresholding method, Gabor filtering and fuzzy entropy feature as a CAD scheme. The algorithm consists of the following steps: a) Preprocessing of the digitized mammograms including identification of region of interest (ROI) as candidate for ma...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007