Anwar Abdalbari

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Fast extraction of blood vessels of abdominal organs is still a challenging task especially in intra-procedural treatments due to large tissue deformation. In this study, we propose a novel joint vessel extraction and registration framework. This vessel extraction technique is under the guidance of prior knowledge patient specific models. The proposed(More)
Image registration for internal organs and soft tissues is considered extremely challenging due to organ shifts and tissue deformation caused by patients' movements such as respiration and repositioning. In our previous work, we proposed a fast registration method for deformable tissues with small rotations. We extend our method to deformable registration(More)
Segmentation is a key topic in computer vision and medical image processing. Furthermore, it is used in many medical applications and techniques such as registration. Currently, an accurate segmentation is still a challenging task. In this study, the segmentation process starts by selecting seed points within the region of interest. Manual seed points(More)
Minimally invasive endoscope based abdominal procedures provide potential advantages over conventional open surgery such as reduced trauma, shorter hospital stay, and quick recovery. One major limitation of using this technique is the narrow view of the endoscope and the lack of proper 3D context of the surgical site. In this paper, we propose a rapid and(More)
Endoscope based minimally invasive abdominal procedures provide potential advantages over conventional open surgery such as reduced trauma, shorter hospital stay, and quick recovery. One of the major limitations of the use of this technique is the small area that the endoscope covers resulting in the lack of proper 3D context of the surgical site. We(More)
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