An Optimal Dimensionality Sampling Scheme on the Sphere with Accurate and Efficient Spherical Harmonic Transform for Diffusion MRI


We tend to design a sampling theme on the sphere and a corresponding spherical harmonic transform (SHT) for the measurement and reconstruction of the diffusion signal in diffusion magnetic resonance imaging (dMRI). By exploiting the antipodal symmetry property of the diffusion signal within the spectral (spherical harmonic) domain, we have a tendency to design a sampling scheme that attains the optimal range of samples, equal to the degrees of freedom needed to represent the antipodally symmetric band-limited diffusion signal in the spectral domain. Compared with other sampling schemes that may be used with the optimal range of samples, we have a tendency to demonstrate, through numerical experiments, that the proposed theme permits a lot of accurate computation of the SHT, and this accuracy is practically rotationally invariant. Additionally, it leads to additional efficient computation of the SHT and storage of the diffusion signal.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :New Bound on Partial Hamming Correlation of Low-Hit-Zone Frequency Hopping Sequences and Optimal Constructions - 2018ABSTRACT:During this letter, a brand new bound on partial Hamming correlation (PHC) of low-hit-zone
PROJECT TITLE :New Automatic Modulation Classifier Using Cyclic-Spectrum Graphs With Optimal Training Features - 2018ABSTRACT:A new feature-extraction paradigm for graph-based automatic modulation classification is proposed in
PROJECT TITLE :Hybrid Phased-MIMO Radar: A Novel Approach With Optimal Performance Under Electronic Countermeasures - 2018ABSTRACT:This letter presents a completely unique technique for optimizing the performance of a phased-multi-in
PROJECT TITLE :Optimal Training Design for MIMO Systems With General Power Constraints - 2018ABSTRACT:Coaching design for general multiple-input multiple-output (MIMO) systems is investigated during this Project. Unlike previous
PROJECT TITLE :Optimal Sequential Fusion Estimation With Stochastic Parameter Perturbations, Fading Measurements, and Correlated Noises - 2018ABSTRACT:This Project focuses on the linear optimal recursive sequential fusion filter

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry