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High spatiotemporal cineMRI films using compressed sensing for acquiring articulatory data
- Source :
- EUSIPCO, 24th European Signal Processing Conference-EUSIPCO2016, 24th European Signal Processing Conference-EUSIPCO2016, Aug 2016, Budapest, Hungary. ⟨10.1109/EUSIPCO.2016.7760469⟩, 2016 24th European Signal Processing Conference (EUSIPCO), 2016 24th European Signal Processing Conference (EUSIPCO), Aug 2016, Budapest, France. pp.1353-1357, ⟨10.1109/EUSIPCO.2016.7760469⟩
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- International audience; The paper presents a method to acquire articulatory data from a sequence of MRI images at a high framerate. The acquisition rate is enhanced by partially collecting data in the kt-space. The combination of compressed sensing technique, along with homodyne reconstruction, enables the missing data to be recovered. The good reconstruction is guaranteed by an appropriate design of the sampling pattern. It is based on a pseudo-random Cartesian scheme, where each line is partially acquired for use of the homodyne reconstruction, and where the lines are pseudo-randomly sampled: central lines are constantly acquired and the sampling density decreases as the lines are far from the center. Application on real speech data show that the framework enables dynamic sequences of vocal tract images to be recovered at a framerate higher than 30 frames per second and with a spatial resolution of 1 mm. A method to extract articulatory data from contour identification is presented. It is intended, in fine, to be used for the creation of a large database of articulatory data.
- Subjects :
- [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Computer science
02 engineering and technology
Iterative reconstruction
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Compressed Sensing
0202 electrical engineering, electronic engineering, information engineering
medicine
Computer vision
Image resolution
ComputingMilieux_MISCELLANEOUS
Signal processing
medicine.diagnostic_test
business.industry
Magnetic resonance imaging
Frame rate
Missing data
Dynamic speech MRI
[PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph]
Compressed sensing
Line (geometry)
020201 artificial intelligence & image processing
Artificial intelligence
[PHYS.MECA.ACOU] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph]
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Articulatory data
Vocal tract
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 24th European Signal Processing Conference (EUSIPCO)
- Accession number :
- edsair.doi.dedup.....a1db56b3e7c1fa43e852cb6777a6b206
- Full Text :
- https://doi.org/10.1109/eusipco.2016.7760469