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Estimation of subject coregistration errors during multimodal preclinical imaging using separate instruments: origins and avoidance of artifacts
- Source :
- Journal of Medical Imaging, Journal of Medical Imaging, SPIE Digital Library, 2017, 4 (03), pp.035503. ⟨10.1117/1.JMI.4.3.035503⟩, Journal of Medical Imaging, 2017, 4 (03), pp.035503. ⟨10.1117/1.JMI.4.3.035503⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- International audience; We use high-resolution [Formula: see text] data in multiple experiments to estimate the sources of error during coregistration of images acquired on separate preclinical instruments. In combination with experiments with phantoms, we completed in vivo imaging on mice, aimed at identifying the possible sources of registration errors, caused either by transport of the animal, movement of the animal itself, or methods of coregistration. The same imaging cell was used as a holder for phantoms and animals. For all procedures, rigid coregistration was carried out using a common landmark coregistration system, placed inside the imaging cell. We used the fiducial registration error and the target registration error to analyze the coregistration accuracy. We found that moving an imaging cell between two preclinical devices during a multimodal procedure gives an error of about [Formula: see text] at most. Therefore, it could not be considered a source of coregistration errors. Errors linked to spontaneous movements of the animal increased with time, to nearly 1 mm at most, excepted for body parts that were properly restrained. This work highlights the importance of animal intrinsic movements during a multiacquisition procedure and demonstrates a simple method to identify and quantify the sources of error during coregistration.
- Subjects :
- [SDV.IB] Life Sciences [q-bio]/Bioengineering
Multimodal imaging
Landmark
business.industry
Image Perception, Observer Performance, and Technology Assessment
[SDV]Life Sciences [q-bio]
Target acquisition
030218 nuclear medicine & medical imaging
[SDV] Life Sciences [q-bio]
03 medical and health sciences
0302 clinical medicine
Error analysis
030220 oncology & carcinogenesis
Medicine
Radiology, Nuclear Medicine and imaging
Computer vision
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Artificial intelligence
Sources of error
Fiducial marker
business
Image resolution
Preclinical imaging
Subjects
Details
- Language :
- English
- ISSN :
- 23294310
- Database :
- OpenAIRE
- Journal :
- Journal of Medical Imaging, Journal of Medical Imaging, SPIE Digital Library, 2017, 4 (03), pp.035503. ⟨10.1117/1.JMI.4.3.035503⟩, Journal of Medical Imaging, 2017, 4 (03), pp.035503. ⟨10.1117/1.JMI.4.3.035503⟩
- Accession number :
- edsair.doi.dedup.....3bb4bcd81e0ac07b0722708ada87513d
- Full Text :
- https://doi.org/10.1117/1.JMI.4.3.035503⟩