A surface-based method for detection of coronary vessel boundaries in poor quality X-ray angiogram images
PATTERN RECOGNITION LETTERS, cilt.23, sa.7, ss.783-802, 2002 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 23 Sayı: 7
- Basım Tarihi: 2002
- Doi Numarası: 10.1016/s0167-8655(01)00156-8
- Dergi Adı: PATTERN RECOGNITION LETTERS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.783-802
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
In this paper, we propose a surface-based method for simultaneous detection of left and right coronary borders that is suitable for analysis of poor quality X-ray angiogram images. Coronary artery is modelled with a 3D generalized cylinder (GC) with elliptic cross-sections. Based on this model, we developed a 2D surface function for the projection intensity distribution of a vessel part. The parameters associated with vessel edges are estimated from this model. The model takes into account local background intensity, noise and blurring. In simulation and real experiments over a range of imaging conditions, the proposed method consistently produced lower estimation error and variability in detecting edges than our previously reported 1D profile-based method. The improvement is most significant especially for noisy and low-contrast angiograms. (C) 2002 Elsevier Science B.V. All rights reserved.