RESUMEN
Objective To study automatic drawing on target therapy area based on MRI and CT imagings in order to get the precision less than 1 mm in HIFU treatment.Methods Based on MRI and CT imagings,automatic image was recognized and the frame was extracted by image processing and image segmentation,etc..Results The system of software we are studying can be effectively used to recognize medical automatic images and get target therapy areas' image drawings.Conclusion This system of software will be used in medical precise treatment systems,such as HIFU 3D Treatment Regional Planning System.
RESUMEN
Objective To study the common imaging characters of the human tissues such as tumors in MRI based on hysteromyoma in hope of getting the results that the same tissue has the same MR characters and identifying the common,comparatively steady MR figs sectional area which can provide related references for the computer-based automatic recognition orgnization and basis for the question such as whether the same MR figs has the same hyperacoustic impedance characters.Methods We analysed all the images with hysteromyoma on MRI T2 and got the rules on MR figs change with the application of the MRI image analysing software which specially designed by Microsoft Visual C++ 6.0 for the research.Results(1)No significant difference was found in MR figs sectional area in the different periods of the same patient under the same MRI test condition.(2)No significant difference was found in MR figs sectional area in different patients under the same MRI test condition.(3)Significant difference was found in MR figs sectional area after the patient received the HIFU treatment under the same MRI test condition.Conclusion(1)Human tissues have some common MRI imaging characters in the same MRI test equipment under the same MRI test condition.(2)Imaging characters of the human body tissues in MRI can be altered after HIFU treatment.