دورية
Robust 3-D/2-D registration of CT and MR to X-ray images based on gradient reconstruction
| العنوان: | Robust 3-D/2-D registration of CT and MR to X-ray images based on gradient reconstruction |
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| المؤلفون: | Markelj, Primož, Tomaževič, Dejan, Pernuš, Franjo, Likar, Boštjan |
| المصدر: | International Journal of Computer Assisted Radiology and Surgery; 20240101, Issue: Preprints p1-7, 7p |
| مستخلص: | Abstract: Objective: A novel 3-D/2-D registration method based on matching 3-D pre-interventional image gradients and coarsely reconstructed 3-D gradients from intra-interventional 2-D images is presented. Material and methods: The novel method establishes correspondences between two sets of gradients by searching for correspondences along normals to anatomical structures in 3-D images, while the final correspondences are established in an iterative process, combining the robust random sample consensus algorithm (RANSAC) and a special gradient matching criterion function. The proposed method was evaluated by the publicly available standardized evaluation methodology for 3-D/2-D registration, consisting of 3-D rotational X-ray, computed tomography (CT), magnetic resonance (MR), and 2-D X-ray images of two spine segments, and evaluation criteria. Results: Preliminary results show significant improve- ment in robustness (capture range and success rate) over three well established intensity-based, gradient-based, and reconstruction-based methods. Conclusion: The 3-D/2-D gradient reconstruction-based registration method efficiently combines the advantages of gradient and reconstruction-based methods, thereby enabling robust registration of CT and MR to only two X-ray images, while keeping the computational demands low. |
| قاعدة البيانات: | Supplemental Index |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 18616410 18616429 |
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| DOI: | 10.1007/s11548-008-0244-3 |