Wednesday, July 29, 2009

Results from different patients !


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CT machine model : Toshiba Activion 16

يوم مناقشة مشروع التخرج







Project Phases




What are the benefits of our software ?

 Enables physicians and surgeon to do their job better by providing images of the liver’s internals, either for diagnostic purpose or for guidance during surgery.
 Determine exactly the defected places at the liver.(Give the defected places in percentage)
 Determine the progress of treatment that will be useful in liver diseases cure.(liver size in percentage)
 It will help also in training new graduate physicians.

What our project do ..... ?


 Our project classified as Medical image processing application for Liver segmentation.
 Visualize important structures in great detail for liver.
 Show the liver tumors to help in resection.
 Produce a 3D model, which can then be manipulated by the physician.
 It supports standard image processing functions such as logical and arithmetical operations between images, contrast manipulation, convolution, Fourier analysis, sharpening, smoothing, edge detection and median filtering.

Abstract


Automatic liver segmentation system

Liver segmentation is an important prerequisite for planning of surgical interventions like liver tumor resections. The resection of tumors from the liver is a difficult and risky surgical intervention, even for experienced surgeons. The goal of computer assisted preoperative planning is the exact localization of the tumor in relation to the surrounding vascular network.
In diagnostic purpose physician can make better result for detect what action required for this patient either cure or surgical.
In this work we present liver segmentation scheme to help liver physicians and surgeons to do their job in better manner.
Our segmentation approach copes successfully with the high variation found in patient data sets and allows producing accurate segmentations in a time-efficient manner.

Friday, June 26, 2009

Saturday, March 28, 2009

Monday, February 16, 2009

Motivations

· Automated liver segmentation methods frequently fail to deliver good segmentation results, especially in case of diseased livers. For clinical application, liver segmentation must be capable of handling all possible cases in a time-efficient manner.


·Liver Diseases are considered from chronic disease, which has spread dramatically recently, especially in the middle age people, which is the mainstay of the national economy, which negatively affect the overall outcome.


·It is stated that the total number of patients with liver disease in Egypt, accounting for 12% of the census and increase the rate in rural regions than cities, it is clear the seriousness of this disease and its devastating effect.

Problem

Liver segmentation is an important prerequisite for planning of surgical interventions like liver tumor resections. The resection of tumors from the liver is a difficult and risky surgical intervention, even for experienced surgeons. The goal of computer assisted preoperative planning is the exact localization of the tumor in relation to the surrounding vascular network. In diagnostic purpose physician can make better result for detect what action required for this patient either cure or surgical.

Dr.Liver software

Dr.Liver is software that help physicians and surgeons in the following

o Locate tumors and other pathologies
o Measure tissue volumes
o Computer-guided surgery
o Diagnosis
o Treatment planning Study of anatomical structure
News continued through Dr.Liver blog