Title :
A fast method for spine localization in x-ray images
Author_Institution :
Agency for Sci., Technol. & Res., Bioinf. Inst., Singapore, Singapore
Abstract :
Detection of spines in medical images are important tasks in medical applications. These tasks are relatively easy for CT/MR images because the bones are easily distinguishable from other tissues. However, they are difficult for x-ray images due to bone and soft tissue overlapping. This paper illustrates a method for detecting the medial axis of spine in x-ray images. Given an initial point on the spine in the x-ray image manually or automatically, the method iteratively searches for good feature points on the spine to locate the medial axis. As a result, the effort of determining the relevant medical information, such as Cobb´s angle, can be minimized. The proposed method is fast and efficient. In average it took less than 1 second for localizing the spine on a 3000×1000 gray scale x-ray image.
Keywords :
X-ray imaging; bone; image recognition; iterative methods; medical image processing; Cobb angle; X-ray images; bone-soft tissue overlap; fast spine localization method; iterative feature point search; medical images; spine detection; Biomedical imaging; Bones; Computed tomography; Shape; Torso; Vectors; X-ray imaging; and x-ray; medical image; spine; torso;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610693