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A simulation study to assess SVD encoding for interventional MRI: Effect of object rotation and needle insertion
Author(s) -
Duerk Jeffrey L.,
Wu Dee H.,
Chung Y. C.,
Liang ZhiPei,
Lewin Jonathan S.
Publication year - 1996
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1880060621
Subject(s) - rotation (mathematics) , encoding (memory) , computer science , object (grammar) , radiology , medicine , biomedical engineering , artificial intelligence
Singular value decomposition (SVD) encoding offers great promise to provide high spatial and temporal resolution required for interventional MRI (I‐MRI) (1). This study investigates its efficacy when ( a ) objects are rotated and ( b ) a small device (ie, a needle) is moved within anatomic structures. It was found that SVD‐encoded MRI is biased toward the reference from which encoding vectors are derived, thus providing a potential limitation under conditions in which the object has undergone significant global change. Reference images with partial device insertion may be needed to accurately resolve the device or track the object motion. Theoretically, the differences between the reference and the object being imaged suggest that SVD encoding is suboptimal (in a minimum mean squared error sense). Other encoding/reconstruction algorithms may come closer to achieving the desired advantages in spatial and temporal fidelity.