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Critical Reviews™ in Biomedical Engineering
SJR: 0.243 SNIP: 0.376 CiteScore™: 0.79

ISSN Print: 0278-940X
ISSN Online: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2017019811
pages 243-254

A Review of Point-Wise Motion Tracking Algorithms for Fetal Magnetic Resonance Imaging

Shivaprasad Chikop
Medical Imaging Research Centre, Dayananda Sagar Institutions, S.M. Hills, Kumarswamy Layout, Bangalore-560078, India
Girish Koulagi
Medical Imaging Research Centre, Dayananda Sagar Institutions, S.M. Hills, Kumarswamy Layout, Bangalore-560078, India
Ankita Kumbara
Medical Imaging Research Centre, Dayananda Sagar Institutions, S.M. Hills, Kumarswamy Layout, Bangalore-560078, India
Sairam Geethanath
Medical Imaging Research Centre, Dayananda Sagar Institutions, S.M. Hills, Kumarswamy Layout, Bangalore-560078, India

ABSTRACT

We review recent feature-based tracking algorithms as applied to fetal magnetic resonance imaging (MRI). Motion in fetal MRI is an active and challenging area of research, but the challenge can be mitigated by strategies related to patient setup, acquisition, reconstruction, and image processing. We focus on fetal motion correction through methods based on tracking algorithms for registration of slices with similar anatomy in multiple volumes. We describe five motion detection algorithms based on corner detection and region-based methods through pseudocodes, illustrating the results of their application to fetal MRI. We compare the performance of these methods on the basis of error in registration and minimum number of feature points required for registration. Harris, a corner detection method, provides similar error when compared to the other methods and has the lowest number of feature points required at that error level. We do not discuss group-wise methods here. Finally, we attempt to communicate the application of available feature extraction methods to fetal MRI.


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