Sökning: onr:"swepub:oai:DiVA.org:uu-429025" >
INSPIRE :
INSPIRE : Intensity and Spatial Information-Based Deformable Image Registration
-
- Öfverstedt, Johan (författare)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen Vi3
-
- Lindblad, Joakim (författare)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen Vi3
-
- Sladoje, Nataša (författare)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen Vi3
-
(creator_code:org_t)
- 2023-03-03
- 2023
- Engelska.
-
Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 18:3
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://doi.org/10.4...
-
https://uu.diva-port... (primary) (Raw object)
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- We present INSPIRE, a top-performing general-purpose method for deformable image registration. INSPIRE brings distance measures which combine intensity and spatial information into an elastic B-splines-based transformation model and incorporates an inverse inconsistency penalization supporting symmetric registration performance. We introduce several theoretical and algorithmic solutions which provide high computational efficiency and thereby applicability of the proposed framework in a wide range of real scenarios. We show that INSPIRE delivers highly accurate, as well as stable and robust registration results. We evaluate the method on a 2D dataset created from retinal images, characterized by presence of networks of thin structures. Here INSPIRE exhibits excellent performance, substantially outperforming the widely used reference methods. We also evaluate INSPIRE on the Fundus Image Registration Dataset (FIRE), which consists of 134 pairs of separately acquired retinal images. INSPIRE exhibits excellent performance on the FIRE dataset, substantially outperforming several domain-specific methods. We also evaluate the method on four benchmark datasets of 3D magnetic resonance images of brains, for a total of 2088 pairwise registrations. A comparison with 17 other state-of-the-art methods reveals that INSPIRE provides the best overall performance. Code is available at github.com/MIDA-group/inspire
Ämnesord
- 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
- Image registration
- splines (mathematics)
- deformable models
- set distance
- gradient methods
- optimization
- cost function
- iterative methods
- fuzzy sets
- Computerized Image Processing
- Datoriserad bildbehandling
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
-
PLOS ONE
(Sök värdpublikationen i LIBRIS)
Till lärosätets databas