InitRech 2015/2016, sujet 13 : Différence entre versions
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| − | Female pelvic disorder such as the organ prolapse becomes a very common problem as a woman ages.About 20 to 30% women suffer from the severe degree of prolapse and more than 60% of women who are over 60 years are affected by this pathology.These problems are connected to the mobility of female pelvic system.In this system, a meaningful analysis of medical images usually decides the physicain's diagnosis.However, a human perception or a medical experience cannot be avoided and these two factors may cause the variability in the diagnoses.Hence a semi-automatic method is proposed. | + | Female pelvic disorder such as the organ prolapse becomes a very common problem as a woman ages.About 20 to 30% women suffer from the severe degree of prolapse and more than 60% of women who are over 60 years are affected by this pathology.These problems are connected to the mobility of female pelvic system.In this system, a meaningful analysis of medical images usually decides the physicain's diagnosis.However, a human perception or a medical experience cannot be avoided and these two factors may cause the variability in the diagnoses.Hence a semi-automatic method is proposed as an important preliminary step for futher studies and modeling for organ shapes detection.The use of B-splines and offsets has been introduced as an algorithm to create thick surfaces of hollow pelvic organs.This modelling was a step between segmentation and physical modelling. |
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Version du 15 juin 2016 à 17:10
Summary
Female pelvic disorder such as the organ prolapse becomes a very common problem as a woman ages.About 20 to 30% women suffer from the severe degree of prolapse and more than 60% of women who are over 60 years are affected by this pathology.These problems are connected to the mobility of female pelvic system.In this system, a meaningful analysis of medical images usually decides the physicain's diagnosis.However, a human perception or a medical experience cannot be avoided and these two factors may cause the variability in the diagnoses.Hence a semi-automatic method is proposed as an important preliminary step for futher studies and modeling for organ shapes detection.The use of B-splines and offsets has been introduced as an algorithm to create thick surfaces of hollow pelvic organs.This modelling was a step between segmentation and physical modelling.
