A new filtering method for ultrasound images incorporating prior statistics concerning medical features

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 821-824

  Stippel, G ^a   Duskunovic, I ^a   Philips, W ^a   Zecic, A ^a   Govaert, P ^a   Lemahieu, I ^a  

^a TELIN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; NOISE ABATEMENT; SIGNAL FILTERING AND PREDICTION; SPECKLE; VISUALIZATION;

LEUKOMALACIA; SPECKLE NOISE; ULTRASOUND IMAGES; WHITE MATTER DAMAGE;

MEDICAL IMAGING;

EID: 0035164153     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Digital image enhancement and noise filtering by use of local statistics
2. A model for radar images and its application to adaptive digital filtering and multiplicative noise
3. Wavelet-based image denoising using a markov random field a priori model
4. Image enhancement based on nonlinear multi-scale method
5. Gradient vector flow a new external force for snakes
6. Snakes, shapes, and gradient vector flow
7. Quantitative analysis of the neonatal brain by ultrasound
8. Texture analysis of ultrasonic images of the prostate by means of co-occurrence matrices
9. Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images
10. Ultrasonic image analysis for liver diagnosis
11. Tissue characterizations of the prostate using kohonen maps
12. Analysis of ultrasonographic prostate images for the detection of prostatic carcinoma: The automated urologic diagnostic expert system