Three-dimensional medical image reconstruction based on improved live wire segmentation algorithm

Yanfang Li; Zhengang Jiang; Wei He; Yongsheng Zhang; Huamin Yang

doi:10.1117/12.790769

Translator Disclaimer

19 February 2008 Three-dimensional medical image reconstruction based on improved live wire segmentation algorithm

Yanfang Li; Zhengang Jiang; Wei He; Yongsheng Zhang; Huamin Yang

Author Affiliations +

Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 66250E (2008) https://doi.org/10.1117/12.790769
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

Three-dimensional image reconstruction by volume rendering has two problems: time-consuming and low precision. During the diagnosis procedure, some detailed organ tissue is the interest to doctors, so the reconstructed two-dimensional images are pre-processed before three-dimensional reconstruction including disturbance removing and precise segmentation, to obtain Region-Of-Interest (ROI) based on which three-dimensional reconstruction carries through, that can decrease the complexity of time and space. By this, Live Wire segmentation algorithm model for medical image is improved to gain exact edge coordinate for the image segmentation with interior details by improved filling algorithm. Segmented images with object details only are regarded as input to realize volume rendering by ray casting tracking algorithm. Because the needless organs have been filtered, the disturbance on interested objects for doctors is reduced. Meanwhile, generally speaking, these needed organs left are less proportion in images. So it reduces data amount of volume rendering, and improves the speed of three-dimensional reconstruction.

Citation Download Citation

Yanfang Li, Zhengang Jiang, Wei He, Yongsheng Zhang, and Huamin Yang "Three-dimensional medical image reconstruction based on improved live wire segmentation algorithm", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250E (19 February 2008); https://doi.org/10.1117/12.790769

ACCESS THE FULL ARTICLE