Contour Extraction in Prostate Ultrasound Images Using the Wavelet Transform and Snakes
نویسندگان
چکیده
It is extremely difficult to locate the contour of the prostate in B-scan ultrasound images automatically by computer because of low resolution and high noise levels. In this paper we present a semi-automatic prostate contour extration scheme, which is based on the wavelet transform and active contour models, or snakes. The ultrasound image is first decomposed into edge maps at different resolutions via the wavelet transform. Seed points are found in the coarsest edge map by examining the maxima along the radial profiles which emanate from an anchor point selected manually. These seed points are used to initialize a snake, which will evolve across the edge maps at different resolutions and eventually converge to the contour of the prostate. Keywords—Ultrasound, prostate, wavelet, edge detection, active contour models, snakes, deformable models
منابع مشابه
A Fast and Efficient Wavelet-Based Active Contour Method
In this paper, we propose a new method for fast and effective image segmentation using snakes (active contours). This method incorporates the active contour models with the wavelet transform features using directional edges in high and low frequency content sub-images. The proposed method takes advantages of these features to improve the boundary attraction process in active contour models. It ...
متن کاملFully automatic prostate segmentation from transrectal ultrasound images based on radial bas-relief initialization and slice-based propagation
Prostate segmentation from transrectal ultrasound (TRUS) images plays an important role in the diagnosis and treatment planning of prostate cancer. In this paper, a fully automatic slice-based segmentation method was developed to segment TRUS prostate images. The initial prostate contour was determined using a novel method based on the radial bas-relief (RBR) method, and a false edge removal al...
متن کاملProstate segmentation algorithm using dyadic wavelet transform and discrete dynamic contour.
Knowing the location and the volume of the prostate is important for ultrasound-guided prostate brachytherapy, a commonly used prostate cancer treatment method. The prostate boundary must be segmented before a dose plan can be obtained. However, manual segmentation is arduous and time consuming. This paper introduces a semi-automatic segmentation algorithm based on the dyadic wavelet transform ...
متن کاملNew Method for Contour Extraction & Compression using Ramer Algorithm & Wavelet Transform
This paper presents a method of contour extraction and compression from grey level image. The proposed algorithm is applied in spectral domain using single-level wavelet transform (WT). Single step parallel contour extraction (SSPCE) method is used for the binary image after inverse wavelet transform is applied to the details images. Then the contours are compressed using either Ramer or Trapez...
متن کاملAutomatic Multiple Active Contour Initialization Using Multi-stage Evolution
The multiple active contours (snakes) are widely used in image processing to extract the feature of interest. However, initialization of the active contours is still an open problem. This paper proposes a new completely automatic initialization of snakes based on a combination of Phrase Portrait Analysis (PPA), K-means clustering and multi-stage evolution of the active contours. The proposed me...
متن کامل