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Multi-atlas-based fully automatic segmentation of individual muscles in rat leg
- Source :
- Magnetic Resonance Materials in Physics, Biology and Medicine, Magnetic Resonance Materials in Physics, Biology and Medicine, 2016, 29 (2), pp.223-235. ⟨10.1007/s10334-015-0511-6⟩, Magnetic Resonance Materials in Physics, Biology and Medicine, Springer Verlag, 2016, 29 (2), pp.223-235. ⟨10.1007/s10334-015-0511-6⟩
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- International audience; ObjectiveTo quantify individual muscle volume in rat leg MR images using a fully automatic multi-atlas-based segmentation method.Materials and methodsWe optimized a multi-atlas-based segmentation method to take into account the voxel anisotropy of numbers of MRI acquisition protocols. We mainly tested an image upsampling process along Z and a constraint on the nonlinear deformation in the XY plane. We also evaluated a weighted vote procedure and an original implementation of an artificial atlas addition. Using this approach, we measured gastrocnemius and plantaris muscle volumes and compared the results with manual segmentation. The method reliability for volume quantification was evaluated using the relative overlap index.ResultsThe most accurate segmentation was obtained using a nonlinear registration constrained in the XY plane by zeroing the Z component of the displacement and a weighted vote procedure for both muscles regardless of the number of atlases. The performance of the automatic segmentation and the corresponding volume quantification outperformed the interoperator variability using a minimum of three original atlases.ConclusionWe demonstrated the reliability of a multi-atlas segmentation approach for the automatic segmentation and volume quantification of individual muscles in rat leg and found that constraining the registration in plane significantly improved the results.
- Subjects :
- Male
Computer science
Biophysics
Skeletal muscle
computer.software_genre
Sensitivity and Specificity
Displacement (vector)
Pattern Recognition, Automated
Machine Learning
Upsampling
Imaging, Three-Dimensional
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Atlas (anatomy)
Voxel
Image Interpretation, Computer-Assisted
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
medicine
Animals
Radiology, Nuclear Medicine and imaging
Segmentation
Rats, Wistar
Muscle, Skeletal
Reliability (statistics)
Radiological and Ultrasound Technology
Plane (geometry)
business.industry
Reproducibility of Results
Pattern recognition
Image Enhancement
Magnetic Resonance Imaging
Hindlimb
Rats
medicine.anatomical_structure
Subtraction Technique
Anisotropy
Female
Artificial intelligence
Data mining
Multi-Atlas de segmentation
business
computer
Algorithms
Volume (compression)
Subjects
Details
- ISSN :
- 13528661 and 09685243
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance Materials in Physics, Biology and Medicine
- Accession number :
- edsair.doi.dedup.....8491b5c3f7cab08d00156c3803ef108e