CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery

Mohammad Golbabaee; Zhouye Chen; Yves Wiaux; Michael Davies

CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery

Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Michael Davies

School of Engineering

Research output: Contribution to conference › Abstract › peer-review

Abstract / Description of output

Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy computations of a matched-filtering step due to the size and complexity of the fingerprints dictionary. In this abstract we investigate and evaluate the advantages of incorporating an accelerated and scalable Approximate Nearest Neighbour Search (ANNS) scheme based on the Cover trees structure to shortcut the computations of this step within an iterative recovery algorithm and to obtain a good compromise between the computational cost and reconstruction accuracy of the MRF problem.

Original language	English
Publication status	Published - 6 Sept 2018
Event	2018 International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting - Paris, France Duration: 16 Jun 2018 → 21 Jun 2018

Conference

Conference	2018 International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting
Country/Territory	France
City	Paris
Period	16/06/18 → 21/06/18

Access to Document

CoverBLIP_ISMRM18

https://arxiv.org/abs/1809.02503

CQ-MRI: Compressed Quantitative MRI
Marshall, I. & Davies, M.
EPSRC
1/07/15 → 31/12/18
Project: Research

Cite this

@conference{55cbd2b02d3248f39f585cac9f4bafcf,

title = "CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery",

abstract = "Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy computations of a matched-filtering step due to the size and complexity of the fingerprints dictionary. In this abstract we investigate and evaluate the advantages of incorporating an accelerated and scalable Approximate Nearest Neighbour Search (ANNS) scheme based on the Cover trees structure to shortcut the computations of this step within an iterative recovery algorithm and to obtain a good compromise between the computational cost and reconstruction accuracy of the MRF problem.",

author = "Mohammad Golbabaee and Zhouye Chen and Yves Wiaux and Michael Davies",

year = "2018",

month = sep,

day = "6",

language = "English",

note = "2018 International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting ; Conference date: 16-06-2018 Through 21-06-2018",

}

TY - CONF

T1 - CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery

AU - Golbabaee, Mohammad

AU - Chen, Zhouye

AU - Wiaux, Yves

AU - Davies, Michael

PY - 2018/9/6

Y1 - 2018/9/6

N2 - Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy computations of a matched-filtering step due to the size and complexity of the fingerprints dictionary. In this abstract we investigate and evaluate the advantages of incorporating an accelerated and scalable Approximate Nearest Neighbour Search (ANNS) scheme based on the Cover trees structure to shortcut the computations of this step within an iterative recovery algorithm and to obtain a good compromise between the computational cost and reconstruction accuracy of the MRF problem.

AB - Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy computations of a matched-filtering step due to the size and complexity of the fingerprints dictionary. In this abstract we investigate and evaluate the advantages of incorporating an accelerated and scalable Approximate Nearest Neighbour Search (ANNS) scheme based on the Cover trees structure to shortcut the computations of this step within an iterative recovery algorithm and to obtain a good compromise between the computational cost and reconstruction accuracy of the MRF problem.

M3 - Abstract

T2 - 2018 International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting

Y2 - 16 June 2018 through 21 June 2018

ER -

CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery

Abstract / Description of output

Conference

Access to Document

Fingerprint

Projects

CQ-MRI: Compressed Quantitative MRI

Cite this