Sökning: (WFRF:(Flodén Jonas 1974)) >
Überatlas: Fast and...
Überatlas: Fast and robust registration for multi-atlas segmentation
-
- Alvén, Jennifer, 1989 (författare)
- Chalmers University of Technology
-
- Norlén, Alexander, 1988 (författare)
- Chalmers University of Technology
-
- Enqvist, Olof, 1981 (författare)
- Chalmers University of Technology
-
visa fler...
-
- Kahl, Fredrik, 1972 (författare)
- Chalmers University of Technology,Lund University,Lunds universitet,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
-
visa färre...
-
(creator_code:org_t)
- Elsevier BV, 2016
- 2016
- Engelska.
-
Ingår i: Pattern Recognition Letters. - : Elsevier BV. - 0167-8655. ; 80, s. 249-255
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://research.cha...
-
https://doi.org/10.1...
-
https://lup.lub.lu.s...
-
visa färre...
Abstract
Ämnesord
Stäng
- Multi-atlas segmentation has become a frequently used tool for medical image segmentation due to its outstanding performance. A computational bottleneck is that all atlas images need to be registered to a new target image. In this paper, we propose an intermediate representation of the whole atlas set – an überatlas – that can be used to speed up the registration process. The representation consists of feature points that are similar and detected consistently throughout the atlas set. A novel feature-based registration method is presented which uses the überatlas to simultaneously and robustly find correspondences and affine transformations to all atlas images. The method is evaluated on 20 CT images of the heart and 30 MR images of the brain with corresponding ground truth. Our approach succeeds in producing better and more robust segmentation results compared to three baseline methods, two intensity-based and one feature-based, and significantly reduces the running times.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Nyckelord
- Feature-based registration
- Brain segmentation
- Multi-atlas segmentation
- Pericardium segmentation
- Brain segmentation
- Feature-based registration
- Multi-atlas segmentation
- Pericardium segmentation
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas