Name
Title | ||
|---|---|---|
How to achieve fast, accurate, and robust rigid registration between fluoroscopic X-ray and CT images |
Abstract | ||
|---|---|---|
This paper presents algorithmic refinements to our method for rigid registration between preoperative CT and intraoperative X-rays and studies the influence of various setups and factors on the methods' performance. Experimental results on five different anatomical structures show that the new three-phase algorithm achieves a mean accuracy of 0.7 mm (max=1.1 mm) 95% of the time with an initial pose offset of up to 60 mm in 80 s average with three X-ray images and CT slice spacing of 2.4 mm and handles image clutter well. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.ics.2004.03.047 | International Congress Series |
Keywords | Field | DocType |
Rigid registration,Intensity-based registration,X-ray to CT registration | Computer vision,Clutter,Artificial intelligence,Anatomical structures,Medicine,Image registration,Offset (computer science) | Conference |
Volume | ISSN | Citations |
1268 | 0531-5131 | 0 |
PageRank | References | Authors |
0.34 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| L Joskowicz | 1 | 107 | 11.24 |
| D Knaan | 2 | 2 | 0.78 |