Name
Abstract | ||
|---|---|---|
We propose a multi-modal image registration and fusion method to cope with the limitations of Magnetic Resonance (MR) and Transvaginal Ultrasound (TVUS) imaging in observing abdominal endometrial implants. Our method facilitates the transfer of two types of information from a 2D TVUS image to a 2D MR slice: (1) the location and shape of small implants and (2) the implants' depth of infiltration in the host tissue. Our registration method uses contour correspondences through a novel variational one-step deformable Iterative Closest Point (ICP) method. The proposed method compared favorably with classical ICP and Thin-Plate Spline Robust Point Matching (TPS-RPM) on several datasets. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-41083-3_17 | Abdominal imaging |
Keywords | Field | DocType |
Contour-based image registration,fusion,endometriosis,localization | Spline (mathematics),Point set registration,Radiology,Medicine,Image registration,Ultrasound,Magnetic resonance imaging,Iterative closest point | Conference |
Volume | ISSN | Citations |
8198 | 0302-9743 | 2 |
PageRank | References | Authors |
0.38 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Yavariabdi | 1 | 12 | 4.40 |
| Chafik Samir | 2 | 185 | 17.69 |
| Adrien Bartoli | 3 | 12 | 1.66 |
| David Da Ines | 4 | 5 | 0.83 |
| Nicolas Bourdel | 5 | 14 | 3.22 |