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6th Internet World Congress for Biomedical Sciences

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Active contours and medical imaging

Juan Gutierrez Aguado(1), Isaac Llorens i Eixea(2), Ricardo Ferris Castell(3)
(1)(2)Facultat de Fisica. Universitat de Valencia - Burjassot. Spain
(3)Universitat de Valencia - Burjasot. Spain

Discussion Board Contact address: Juan Gutierrez Aguado
Facultat de Fisica. Universitat de Valencia
C/ Dr. Moliner, 50 Burjassot
Valencia 46100 Spain
Juan.Gutierrez@uv.es
[ABSTRACT] [INTRODUCTION] [MATERIAL & METHODS] [RESULTS] [IMAGES] [CONCLUSIONS] [BIBLIOGRAPHY] [Discussion Board]
Main Page Previous: <font face="Comic Sans MS" color="#0000FF"><em>AN EXPERT SYSTEM TO DIAGNOSIS PERIODONTAL DISEASE</em></font> Previous: A low cost stereo vision system for vertebral column measures Previous: BREAST SCINTIMAMMOGRAPHY WITH MIBI-Tc99m AS A PREDICTOR OF TUMORAL AGGRESSIVENESS. INTRODUCTION
[New Technology]
Next: SUPPORT SYSTEM FOR DEAF CHILDREN TEACHING - ( SAECPS ) 		[Medical Electronics & Engineering]
Next: MEDICAL IMAGES RESTORATION BY ISOLATED NOISE SEQUENCES IDENTIFICATION		 [Radiology & Nuclear Medicine]
Next: CHARACTERIZATION OF THALLIUM 201 WASHOUT AND UPTAKE FROM SYNDROME X PATIENTS<br> A quantitative study of Thallium 201 uptakes and washouts from patients presenting Syndrome X pathology.

ABSTRACT

In this paper it is presented a greedy strategy to find the final contour of an object in a medical image, starting from an initial roughly outline. It is based on a B-snake, a set of points approximated by a cubic polynomial. This curve so defined moves towards the desired features guided by a functional energy term. Energy has two terms, the first one controls smoothness, and another one related to image gradient. The object contour is where energy has a minimum.

B-snake application on medical images shows a well behavior, leading to robust methods, and being able to obtain precisely contours regardless image noise or bad outline initializations.

This is a well-established approach in features extraction that leads to accurate and complete object detection. Therefore, it allows an isolation of important objects in medical images like radiographies or MRI. An extension of this method would allow a 3D reconstruction of whole organs in a body from a set of computer axial tomographies.

Keywords: snakes - greedy algorithm - object detection - feature extraction -
Discussion Board
Discussion Board

Any Comment to this presentation?

[ABSTRACT] [INTRODUCTION] [MATERIAL & METHODS] [RESULTS] [IMAGES] [CONCLUSIONS] [BIBLIOGRAPHY] [Discussion Board]
Main Page Previous: <font face="Comic Sans MS" color="#0000FF"><em>AN EXPERT SYSTEM TO DIAGNOSIS PERIODONTAL DISEASE</em></font> Previous: A low cost stereo vision system for vertebral column measures Previous: BREAST SCINTIMAMMOGRAPHY WITH MIBI-Tc99m AS A PREDICTOR OF TUMORAL AGGRESSIVENESS. INTRODUCTION
[New Technology]
Next: SUPPORT SYSTEM FOR DEAF CHILDREN TEACHING - ( SAECPS ) 		[Medical Electronics & Engineering]
Next: MEDICAL IMAGES RESTORATION BY ISOLATED NOISE SEQUENCES IDENTIFICATION		 [Radiology & Nuclear Medicine]
Next: CHARACTERIZATION OF THALLIUM 201 WASHOUT AND UPTAKE FROM SYNDROME X PATIENTS<br> A quantitative study of Thallium 201 uptakes and washouts from patients presenting Syndrome X pathology.
Juan Gutierrez Aguado, Isaac Llorens i Eixea, Ricardo Ferris Castell
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