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Cardiac motion estimation from medical images: a regularisation framework applied on pairwise image registration displacement fields
- Source :
- Scientific Reports, Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
- Publication Year :
- 2020
-
Abstract
- Accurate cardiac motion estimation from medical images such as ultrasound is important for clinical evaluation. We present a novel regularisation layer for cardiac motion estimation that will be applied after image registration and demonstrate its effectiveness. The regularisation utilises a spatio-temporal model of motion, b-splines of Fourier, to fit to displacement fields from pairwise image registration. In the process, it enforces spatial and temporal smoothness and consistency, cyclic nature of cardiac motion, and better adherence to the stroke volume of the heart. Flexibility is further given for inclusion of any set of registration displacement fields. The approach gave high accuracy. When applied to human adult Ultrasound data from a Cardiac Motion Analysis Challenge (CMAC), the proposed method is found to have 10% lower tracking error over CMAC participants. Satisfactory cardiac motion estimation is also demonstrated on other data sets, including human fetal echocardiography, chick embryonic heart ultrasound images, and zebrafish embryonic microscope images, with the average Dice coefficient between estimation motion and manual segmentation at 0.82–0.87. The approach of performing regularisation as an add-on layer after the completion of image registration is thus a viable option for cardiac motion estimation that can still have good accuracy. Since motion estimation algorithms are complex, dividing up regularisation and registration can simplify the process and provide flexibility. Further, owing to a large variety of existing registration algorithms, such an approach that is usable on any algorithm may be useful.
- Subjects :
- Computer science
Science
0206 medical engineering
Image registration
02 engineering and technology
Chick Embryo
Sensitivity and Specificity
Displacement (vector)
Motion (physics)
Article
030218 nuclear medicine & medical imaging
Pattern Recognition, Automated
03 medical and health sciences
Motion
0302 clinical medicine
Imaging, Three-Dimensional
Image processing
Consistency (statistics)
Artificial Intelligence
Image Interpretation, Computer-Assisted
Animals
Humans
Computer vision
Zebrafish
Multidisciplinary
business.industry
Process (computing)
Reproducibility of Results
Heart
Image Enhancement
020601 biomedical engineering
Data processing
Echocardiography
Subtraction Technique
Medicine
Pairwise comparison
Artificial intelligence
business
Artifacts
Algorithms
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 10
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific reports
- Accession number :
- edsair.doi.dedup.....891b85d905f82012e3557baf4377a5f2