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Titolo:
Comparison of scalar measures used in magnetic resonance diffusion tensor imaging
Autore:
Bahn, MM;
Indirizzi:
Washington Univ, Sch Med, Mallinckrodt Inst Radiol, St Louis, MO 63110 USAWashington Univ St Louis MO USA 63110 Inst Radiol, St Louis, MO 63110 USA
Titolo Testata:
JOURNAL OF MAGNETIC RESONANCE
fascicolo: 1, volume: 139, anno: 1999,
pagine: 1 - 7
SICI:
1090-7807(199907)139:1<1:COSMUI>2.0.ZU;2-H
Fonte:
ISI
Lingua:
ENG
Soggetto:
FEATURES; TISSUES; IMAGES;
Keywords:
diffusion tensor imaging; anisotropic diffusion; magnetic resonance imaging;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Physical, Chemical & Earth Sciences
Citazioni:
10
Recensione:
Indirizzi per estratti:
Indirizzo: Bahn, MM Washington Univ, Sch Med, Mallinckrodt Inst Radiol, 510 S Kingshighway Blvd, St Louis, MO 63110 USA Washington Univ 510 S Kingshighway Blvd St Louis MO USA 63110 USA
Citazione:
M.M. Bahn, "Comparison of scalar measures used in magnetic resonance diffusion tensor imaging", J MAGN RES, 139(1), 1999, pp. 1-7

Abstract

The tensors derived from diffusion tensor imaging describe complex diffusion in tissues. However, it is difficult to compare tensors directly or to produce images that contain all of the information of the tensor. Therefore,it is convenient to produce scalar measures that extract desired aspects of the tensor. These measures map the three-dimensional eigenvalues of the diffusion tensor into scalar values. The measures impose an order on eigenvalue space. Many invariant scalar measures have been introduced in the Literature. In the present manuscript, a general approach for producing invariant scalar measures is introduced, Because it is often difficult to determinein clinical practice which of the many measures is best to apply to a given situation, two formalisms are introduced for the presentation, definition, and comparison of measures applied to eigenvalues: (1) normalized eigenvalue space, and (2) parametric eigenvalue transformation plots. All of the anisotropy information contained in the three eigenvalues can be retained and displayed in a two-dimensional plot, the normalized eigenvalue plot. An example is given of how to determine the best measure to use for a given situation by superimposing isometric contour lines from various anisotropy measures on plots of actual measured eigenvalue data points. Parametric eigenvalue transformation plots allow comparison of how different measures imposeorder on normalized eigenvalue space to determine whether the measures areequivalent and how the measures differ. These formalisms facilitate the comparison of scalar invariant measures for diffusion tensor imaging. Normalized eigenvalue space allows presentation of eigenvalue anisotropy information, (C) 1999 Academic Press.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 18/09/20 alle ore 16:36:50