TY - GEN
T1 - Parallel magnetic resonance imaging using compressed sensing
AU - Bilgin, Ali
AU - Kim, Yookyung
AU - Lalgudi, Hariharan G.
AU - Trouard, Theodore P.
AU - Altbach, Maria I.
PY - 2008
Y1 - 2008
N2 - Although magnetic resonance imaging (MRI) is routinely used in clinical practice, long acquisition times limit its practical utility in many applications. To increase the data acquisition speed of MRI, parallel MRI (pMRI) techniques have recently been proposed. These techniques utilize multi-channel receiver arrays and are based on simultaneous acquisition of data from multiple receiver coils. Recently, a novel framework called Compressed Sensing (CS) was introduced. Since this new framework illustrates how signals can be reconstructed from much fewer samples than suggested by the Nyquist theory, it has the potential to significantly accelerate data acquisition in MRI. This paper illustrates that CS and pMRI techniques can be combined and such joint processing yields results that are superior to those obtained from independent utilization of each technique.
AB - Although magnetic resonance imaging (MRI) is routinely used in clinical practice, long acquisition times limit its practical utility in many applications. To increase the data acquisition speed of MRI, parallel MRI (pMRI) techniques have recently been proposed. These techniques utilize multi-channel receiver arrays and are based on simultaneous acquisition of data from multiple receiver coils. Recently, a novel framework called Compressed Sensing (CS) was introduced. Since this new framework illustrates how signals can be reconstructed from much fewer samples than suggested by the Nyquist theory, it has the potential to significantly accelerate data acquisition in MRI. This paper illustrates that CS and pMRI techniques can be combined and such joint processing yields results that are superior to those obtained from independent utilization of each technique.
KW - Compressed sensing
KW - Compressive sampling
KW - Magnetic resonance imaging
KW - Parallel imaging
UR - http://www.scopus.com/inward/record.url?scp=56249121902&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=56249121902&partnerID=8YFLogxK
U2 - 10.1117/12.797206
DO - 10.1117/12.797206
M3 - Conference contribution
AN - SCOPUS:56249121902
SN - 9780819472939
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Applications of Digital Image Processing XXXI
T2 - Applications of Digital Image Processing XXXI
Y2 - 11 August 2008 through 14 August 2008
ER -