Image reconstruction in the GRAPPA algorithm formalism

Yufang Bao; Andrew A. Maudsley

doi:10.1109/ISBI.2007.356801

Image reconstruction in the GRAPPA algorithm formalism

Yufang Bao, Andrew A. Maudsley

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this paper is presented a novel parallel image reconstruction algorithm that follows the same formalism as the existing GRAPPA reconstruction, and is termed as the extended GRAPPA algorithm, which is equivalent to the Generalized SENSE (GenSENSE) algorithm in reconstructing a highresolution sensitivity-invariant MR image. Based on this understanding, a concept of weight map is introduced for reconstruction, and the existing GRAPPA algorithm is further interpreted as an approximate of the extended GRAPPA algorithm by selectively choosing weights of significant value in the map for reconstruction.

Original language	English (US)
Title of host publication	2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro - Proceedings
Pages	113-116
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2007.356801
State	Published - Nov 27 2007
Event	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States Duration: Apr 12 2007 → Apr 15 2007

Publication series

Name	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Other

Other	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Country	United States
City	Arlington, VA
Period	4/12/07 → 4/15/07

Keywords

GenSENSE image reconstruction
GRAPPA
MRI
Parallel imaging

ASJC Scopus subject areas

Electrical and Electronic Engineering
Medicine(all)

Access to Document

10.1109/ISBI.2007.356801

Fingerprint Dive into the research topics of 'Image reconstruction in the GRAPPA algorithm formalism'. Together they form a unique fingerprint.

Cite this

Bao, Y., & Maudsley, A. A. (2007). Image reconstruction in the GRAPPA algorithm formalism. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 113-116). [4193235] (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). https://doi.org/10.1109/ISBI.2007.356801

Image reconstruction in the GRAPPA algorithm formalism. / Bao, Yufang; Maudsley, Andrew A.

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 113-116 4193235 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bao, Y & Maudsley, AA 2007, Image reconstruction in the GRAPPA algorithm formalism. in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 4193235, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 113-116, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07, Arlington, VA, United States, 4/12/07. https://doi.org/10.1109/ISBI.2007.356801

@inproceedings{963bd733b17b4e59bc8ef76ca56b9824,

title = "Image reconstruction in the GRAPPA algorithm formalism",

abstract = "In this paper is presented a novel parallel image reconstruction algorithm that follows the same formalism as the existing GRAPPA reconstruction, and is termed as the extended GRAPPA algorithm, which is equivalent to the Generalized SENSE (GenSENSE) algorithm in reconstructing a highresolution sensitivity-invariant MR image. Based on this understanding, a concept of weight map is introduced for reconstruction, and the existing GRAPPA algorithm is further interpreted as an approximate of the extended GRAPPA algorithm by selectively choosing weights of significant value in the map for reconstruction.",

keywords = "GenSENSE image reconstruction, GRAPPA, MRI, Parallel imaging",

author = "Yufang Bao and Maudsley, {Andrew A.}",

year = "2007",

month = nov,

day = "27",

doi = "10.1109/ISBI.2007.356801",

language = "English (US)",

isbn = "1424406722",

series = "2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",

pages = "113--116",

booktitle = "2007 4th IEEE International Symposium on Biomedical Imaging",

note = "2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 ; Conference date: 12-04-2007 Through 15-04-2007",

}

TY - GEN

T1 - Image reconstruction in the GRAPPA algorithm formalism

AU - Bao, Yufang

AU - Maudsley, Andrew A.

PY - 2007/11/27

Y1 - 2007/11/27

N2 - In this paper is presented a novel parallel image reconstruction algorithm that follows the same formalism as the existing GRAPPA reconstruction, and is termed as the extended GRAPPA algorithm, which is equivalent to the Generalized SENSE (GenSENSE) algorithm in reconstructing a highresolution sensitivity-invariant MR image. Based on this understanding, a concept of weight map is introduced for reconstruction, and the existing GRAPPA algorithm is further interpreted as an approximate of the extended GRAPPA algorithm by selectively choosing weights of significant value in the map for reconstruction.

AB - In this paper is presented a novel parallel image reconstruction algorithm that follows the same formalism as the existing GRAPPA reconstruction, and is termed as the extended GRAPPA algorithm, which is equivalent to the Generalized SENSE (GenSENSE) algorithm in reconstructing a highresolution sensitivity-invariant MR image. Based on this understanding, a concept of weight map is introduced for reconstruction, and the existing GRAPPA algorithm is further interpreted as an approximate of the extended GRAPPA algorithm by selectively choosing weights of significant value in the map for reconstruction.

KW - GenSENSE image reconstruction

KW - GRAPPA

KW - MRI

KW - Parallel imaging

UR - http://www.scopus.com/inward/record.url?scp=36348968891&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=36348968891&partnerID=8YFLogxK

U2 - 10.1109/ISBI.2007.356801

DO - 10.1109/ISBI.2007.356801

M3 - Conference contribution

AN - SCOPUS:36348968891

SN - 1424406722

SN - 9781424406722

T3 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

SP - 113

EP - 116

BT - 2007 4th IEEE International Symposium on Biomedical Imaging

T2 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07

Y2 - 12 April 2007 through 15 April 2007

ER -