64MD CT를 이용한 흉부외상 환자 VR 영상의 알고리즘별 분석

Analysis According to the Algorithm of the Chest Trauma Patient VR Image Using 64MD CT

Purpose We tried to find out the utility comparing and analyzing the difference of image quality according to the algorithm(filter) change and the 3 dimension volume randering of breast CT pre-contrast enhancement and post-contrast enhancement images by 64 multi-detector among the breast injury patients who came into the emergency room of our hospital. Materials and Methods We analyzed the difference of the attention and the quality of the image is excellent in some algorithm while analyzing the image algorithm statistically that ga: the most excellent assessment of image algorithm and post contrast enhancement assessing 3D VR image that has changed the image filter from 1 point(the best) to 5 points(the worst) by the 3D specialized radiator and the image medicine specialized doctor that has changed the image filter targeting the patient which we implemented pre contrast enhancement and post contrast enhancement breast CT of the breast injury patient of 34 students who came into our hospital emergency room from August to November, 2006. Results For the image assessment according to each algorithm, YD filter got the most excellent assessment, and rather than the CT of post contrast enhancement, the YD filter of pre contrast enhancement got better assessment, but the attention P showed as 0.197 to be insignificant in the difference of image according to the change of algorithm of the image of the pre contrast enhancement CT and the image of post contrast enhancement. Conclusion If the differences in breast CT of pre contrast enhancement and post contrast enhancement are trivial, by providing information and breast 3D VR image in the quick and formalized way by one post contrast enhancement CT inspection that can reduce additional width to the patient, we think breast 3D VR image to be useful.