A Novel framework for high order tensor-based diffusivity profile estimation
Conference contribution, 2013

High order tensors (HOTs) are used to model the apparent diffusion coefficient (ADC) profile of water at each voxel in (brain) tissue. In this paper we propose : (i) A new method for estimating HOTs from diffusion-weighted MRI (dMRI) data based on weighted least squares (WLS) optimization; and (ii) A new expression for computing the fractional anisotropy from a HOT that does not suffer from singularities and spurious zeros. We also present an empirical evaluation of the proposed method relative to the two existing methods based on both synthetic and real human brain dMRI data. The results show that the proposed method yields more accurate estimation than the competing methods.

High order tensor

Fractional Anisotropy

Z-eigenvalue

ADC profile

Weighted least squares

Diffusion-weighted MRI

Author

Mohammad Alipoor

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Andrew Mehnert

Chalmers, Signals and Systems

Y Lilja

University of Gothenburg

Daniel Nilsson

University of Gothenburg

Swedish Symposium on Image Analysis (SSBA 2013), March 14-15, Göteborg, Sweden

4-

Areas of Advance

Life Science Engineering (2010-2018)

Subject Categories

Signal Processing

Neurology

Computer Vision and Robotics (Autonomous Systems)

Medical Image Processing

More information

Created

10/7/2017