An integrated system for real-time detection of stiff masses with a single compression

Ahmed S. Fahmy; Axel Krieger; Nael F. Osman

doi:10.1109/TBME.2006.873690

An integrated system for real-time detection of stiff masses with a single compression

Ahmed S. Fahmy, Axel Krieger, Nael F. Osman

School of Medicine

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

An integrated system is proposed for real-time imaging of tissue deformation in response to externally applied mechanical compression. The purpose of the system is to noninvasively detect tissue lesions based on their stiffness. The method includes applying external compression to the examined subject and acquiring magnetic resonance strain-encoded images using a real-time pulse sequence. In the proposed system, only a single compression is necessary to obtain a two-dimensional map of tissue deformation in a slice, eliminating the need for a complicated compressing device. The system was built and validated using phantom experiments.

Original language	English (US)
Article number	1643398
Pages (from-to)	1286-1293
Number of pages	8
Journal	IEEE Transactions on Biomedical Engineering
Volume	53
Issue number	7
DOIs	https://doi.org/10.1109/TBME.2006.873690
State	Published - Jul 2006

Keywords

Magnetic resonance imaging
Strain encoding
Tagging
Tissue deformation

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/TBME.2006.873690

Cite this

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title = "An integrated system for real-time detection of stiff masses with a single compression",

abstract = "An integrated system is proposed for real-time imaging of tissue deformation in response to externally applied mechanical compression. The purpose of the system is to noninvasively detect tissue lesions based on their stiffness. The method includes applying external compression to the examined subject and acquiring magnetic resonance strain-encoded images using a real-time pulse sequence. In the proposed system, only a single compression is necessary to obtain a two-dimensional map of tissue deformation in a slice, eliminating the need for a complicated compressing device. The system was built and validated using phantom experiments.",

keywords = "Magnetic resonance imaging, Strain encoding, Tagging, Tissue deformation",

author = "Fahmy, {Ahmed S.} and Axel Krieger and Osman, {Nael F.}",

note = "Funding Information: Manuscript received July 31, 2004; revised December 4, 2005. This work was supported in part by a the Whitaker Foundation under a Biomedical Engineering Grant. N. F. Osman is a founder and a share-holder of stock in DiagnoSoft, Inc. Asterisk indicates corresponding author. *A. S. Fahmy is with the Electrical and Computer Engineering Department, The Johns Hopkins University. Baltimore, MD 21218 USA (e-mail: fahmy@jhu.edu).",

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N2 - An integrated system is proposed for real-time imaging of tissue deformation in response to externally applied mechanical compression. The purpose of the system is to noninvasively detect tissue lesions based on their stiffness. The method includes applying external compression to the examined subject and acquiring magnetic resonance strain-encoded images using a real-time pulse sequence. In the proposed system, only a single compression is necessary to obtain a two-dimensional map of tissue deformation in a slice, eliminating the need for a complicated compressing device. The system was built and validated using phantom experiments.

AB - An integrated system is proposed for real-time imaging of tissue deformation in response to externally applied mechanical compression. The purpose of the system is to noninvasively detect tissue lesions based on their stiffness. The method includes applying external compression to the examined subject and acquiring magnetic resonance strain-encoded images using a real-time pulse sequence. In the proposed system, only a single compression is necessary to obtain a two-dimensional map of tissue deformation in a slice, eliminating the need for a complicated compressing device. The system was built and validated using phantom experiments.

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KW - Strain encoding

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An integrated system for real-time detection of stiff masses with a single compression

Abstract

Keywords

ASJC Scopus subject areas

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