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MARS: a mouse atlas registration system based on a planar x-ray projector and an optical camera
- Source :
- Physics in Medicine and Biology. 57:6063-6077
- Publication Year :
- 2012
- Publisher :
- IOP Publishing, 2012.
-
Abstract
- This paper introduces a mouse atlas registration system (MARS), composed of a stationary top-view x-ray projector and a side-view optical camera, coupled to a mouse atlas registration algorithm. This system uses the x-ray and optical images to guide a fully automatic co-registration of a mouse atlas with each subject, in order to provide anatomical reference for small animal molecular imaging systems such as positron emission tomography (PET). To facilitate the registration, a statistical atlas that accounts for inter-subject anatomical variations was constructed based on 83 organ-labeled mouse micro-computed tomography (CT) images. The statistical shape model and conditional Gaussian model techniques were used to register the atlas with the x-ray image and optical photo. The accuracy of the atlas registration was evaluated by comparing the registered atlas with the organ-labeled micro-CT images of the test subjects. The results showed excellent registration accuracy of the whole-body region, and good accuracy for the brain, liver, heart, lungs and kidneys. In its implementation, the MARS was integrated with a preclinical PET scanner to deliver combined PET/MARS imaging, and to facilitate atlas-assisted analysis of the preclinical PET images.
- Subjects :
- Computer science
education
Normal Distribution
Image processing
Article
law.invention
Mice
Atlases as Topic
Planar
law
Atlas (anatomy)
Image Processing, Computer-Assisted
medicine
Animals
Body Size
Radiology, Nuclear Medicine and imaging
Computer vision
Anatomy, Artistic
Radiological and Ultrasound Technology
medicine.diagnostic_test
business.industry
Optical Devices
Mars Exploration Program
medicine.anatomical_structure
Projector
Positron emission tomography
Positron-Emission Tomography
Tomography
Artificial intelligence
Molecular imaging
Tomography, X-Ray Computed
business
Algorithms
Subjects
Details
- ISSN :
- 13616560 and 00319155
- Volume :
- 57
- Database :
- OpenAIRE
- Journal :
- Physics in Medicine and Biology
- Accession number :
- edsair.doi.dedup.....5db5a6009fa3f643859dc06226d8b538
- Full Text :
- https://doi.org/10.1088/0031-9155/57/19/6063