Image Processing And Simulating Experimental Study For Interventional Treatment On Lung Cancer

Interventional Treatment is an advanced academic discipline of modem iatrology. Due to its advantages, such as good cure-effect, tiny vulnus and quick recuperation, Interventional Treatment (IT) provides a new effective therapy for patients with non-operable lung cancerr.However, because IT is a new comprehensive technology, there are many problems in IT on lung cancer, such as various complications, especially complication of high-level paralysis, which severely retards the development and generalization of IT on lung cancer. Many researchers try to solve the problem, but no perfect solution have been worked out. Some researchers have made some progresses in solving the problem through qualitative simulating experimental study and natural infusion region(NIR). But, there still are some unsolved problems, such as the detecting of tumor for patients who is suffered from pectoral water, 3-D spatial definition of NER, and so on. So, being aiming at these unsolved problems, the author does some researches using image processing and quantitative simulating hemodynamic experimental study in this thesis.Based on generalized morphological filter, multi-SE morphological pyramid filter has been put forward, and used in the digital subtraction angiography (DSA) of bronchial artery for the purpose of improving the quality of it. And it provides the favor conditions for next edge detection.Based on fuzzy mathematic and edge detection, we present a method which can be used to calculate the key parameters of generalized fuzzy operator (GFO) in edge detection, and the edge of tumor in DSA is detected successfully and the tumor's size is calculated. So that cure-scheme can be made according to it.In order to further improve cure-effects and safety, based on qualitative simulating experimental research, we develop a series of quantitative simulating hemodynamic experiments. Firstly, A new experimental method is developed tomeasure the volume of drug which is contained in the mixture, that is called pH-measuring method, and quantitative NIR and Infusion Efficiency (IE) are defined. The simulating experimental system and color image processing system are developed too. Secondly, the experiment adopting different diameter and different entrance-opening is done respectively, and 3-D NIR is described through analyzing experimental data. Thirdly, the experiment using different catheter is done, and the law that catheter affects on NIR is obtained. Fourthly, the law that IE of some key positions varies with flux of branch, aortic pressure and injecting velocity is obtained. The author investigates the problems of IT on lung cancer through image processing and quantitative simulating experiment. Partial research results have been applied to clinical IT on lung cancer and made important progress.