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On the Choice of Coil Combination Weights for Phase-Sensitive GRAPPA Reconstruction in Multichannel SWI

  • Sreekanth MadhusoodhananEmail author
  • Joseph Suresh Paul
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1022)

Abstract

The feasibility of applying Generalized Auto-calibrating Partially Parallel Acquisition (GRAPPA) techniques has been established, with a two-fold or more reduction in scan time without compromising vascular contrast in Susceptibility Weighted Imaging (SWI) by choosing an optimal sensitivity map for combining the coil images. The overall SNR performance in GRAPPA is also dependent on the weights used for combining the GRAPPA reconstructed coil images. In this article, different methods for estimating the optimal coil combination weights are qualitatively and quantitatively analysed for maximizing the structural information in the tissue phase. The performance of various methods is visually evaluated using minimum Intensity Projection (mIP), Among the three methods, sensitivity estimated using the dominant eigenvector mentioned as ESPIRiT-based sensitivity in this article shows superior performance over the other two methods including estimating the sensitivity from the centre k-space line and from reconstructed channel images. Combining channel images using ESPIRiT sensitivity shows its ability to preserve the local phase variation and reduction in noise amplification.

Keywords

Coil combination Parallel imaging Sensitivity SWI 

Notes

Acknowledgements

The authors are thankful to the Council of Scientific and Industrial Research-Senior Research Fellowship (CSIR-SRF, File No: 09/1208(0001)/2018.EMR-I) and planning board of Govt. of Kerala (GO(Rt) No. 101/2017/ITD.GOK(02/05/2017)), for financial assistance.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Medical Image Computing and Signal Processing GroupIndian Institute of Information Technology and Management-Kerala (IIITM-K)TrivandrumIndia

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