Name
Abstract | ||
|---|---|---|
Manually extracting 3D anatomical point landmarks from tomographic images is generally tedious and time-consuming. A semi-automatic
procedure for landmark extraction, which allows for interactive control, offers the possibility to improve on this. The detection
performance is decisive for the applicability of such a procedure. However, existing computational approaches to landmark
detection often suffer from a larger number of false detections. A considerable number of false detections is caused by neighboring
anatomical structures that are captured by the region-of-interest (ROI) at a landmark. In this paper, we present two different
approaches to reducing false detections caused by neighboring structures. First, we present a statistical, differential approach
to automatically selecting a suitable size for the 3D ROI. Second, we present a differential approach that incorporates additional
prior knowledge of the intensity structure at a landmark. Combining both approaches with a robust 3D differential operator
for landmark detection, we develop a new algorithm for landmark detection. In estimating the partial derivatives of the intensity
function, we can cope with anisotropic voxel sizes using a scheme based on B-spline image interpolation. The new algorithm
is applied within a semi-automatic procedure to extract anatomical point landmarks from 3D MR and CT images of the human head.
|
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/10704282_28 | MICCAI |
Keywords | Field | DocType |
semi-automatic landmark extraction,detection performance,image interpolation,region of interest,differential operators | Voxel,Computer vision,Pattern recognition,Computer science,Interactive control,Partial derivative,Artificial intelligence,Anatomical structures,Landmark,Anatomical point,Human head,Image scaling | Conference |
Volume | ISSN | ISBN |
1679 | 0302-9743 | 3-540-66503-X |
Citations | PageRank | References |
15 | 0.95 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sönke Frantz | 1 | 76 | 8.01 |
| Karl Rohr | 2 | 377 | 52.96 |
| H. Siegfried Stiehl | 3 | 516 | 67.10 |