In this paper, we presented an automatic method for BVS struts detection in IVOCT images based on Haar-like features and Adaboost algorithm. Then, DP algorithm was used for struts segmentation. Based on the detection and segmentation results, apposed and malapposed struts were distinguished automatically. The qualitative and quantitative evaluation shows that our method is effective and robust for BVS struts detection and segmentation, and is capable of malapposition analysis.