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Improvements to the quality of MRI cluster analysis

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Improvements to the quality of MRI cluster analysis. / SIMMONS, A; ARRIDGE, SR; Barker, Gareth; CLUCKIE, AJ; TOFTS, PS.

In: Magnetic Resonance Imaging, Vol. 12, No. 8, 1994, p. 1191-1204.

Research output: Contribution to journalArticle

Harvard

SIMMONS, A, ARRIDGE, SR, Barker, G, CLUCKIE, AJ & TOFTS, PS 1994, 'Improvements to the quality of MRI cluster analysis', Magnetic Resonance Imaging, vol. 12, no. 8, pp. 1191-1204. https://doi.org/10.1016/0730-725X(94)90085-6

APA

SIMMONS, A., ARRIDGE, SR., Barker, G., CLUCKIE, AJ., & TOFTS, PS. (1994). Improvements to the quality of MRI cluster analysis. Magnetic Resonance Imaging, 12(8), 1191-1204. https://doi.org/10.1016/0730-725X(94)90085-6

Vancouver

SIMMONS A, ARRIDGE SR, Barker G, CLUCKIE AJ, TOFTS PS. Improvements to the quality of MRI cluster analysis. Magnetic Resonance Imaging. 1994;12(8):1191-1204. https://doi.org/10.1016/0730-725X(94)90085-6

Author

SIMMONS, A ; ARRIDGE, SR ; Barker, Gareth ; CLUCKIE, AJ ; TOFTS, PS. / Improvements to the quality of MRI cluster analysis. In: Magnetic Resonance Imaging. 1994 ; Vol. 12, No. 8. pp. 1191-1204.

Bibtex Download

@article{0da899e359b94a8ba2327f809b5cbcbe,
title = "Improvements to the quality of MRI cluster analysis",
abstract = "Cluster analysis techniques are gaining widespread use for segmentation of MRI data, especially for volume measurement and 3-D display purposes. This paper describes four improvements to such techniques: (1) The use of intensity simulations to model cluster plots; (2) Correction of image nonuniformity; (3) Anisotropic smoothing of data; and (4) Automatic isolation of tissues of interest. Simulation of cluster plots allows an informed choice of pulse sequence(s) and acquisition parameters to be made. Correction of image nonuniformity and anisotropic smoothing reduce the spread of signal intensity from a single tissue thus producing significantly more compact clusters, whilst the isolation of tissues of interest prevents overlap of clusters from the tissues of interest with those not under consideration. These techniques may be used to improve the results of cluster analysis or traded off, for example to allow lower signal-to-noise images, shorter repetition time images, or fewer images to be used for segmentation.",
author = "A SIMMONS and SR ARRIDGE and Gareth Barker and AJ CLUCKIE and PS TOFTS",
note = "M1 - 8",
year = "1994",
doi = "10.1016/0730-725X(94)90085-6",
language = "English",
volume = "12",
pages = "1191--1204",
journal = "Magnetic Resonance Imaging",
issn = "0730-725X",
number = "8",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Improvements to the quality of MRI cluster analysis

AU - SIMMONS, A

AU - ARRIDGE, SR

AU - Barker, Gareth

AU - CLUCKIE, AJ

AU - TOFTS, PS

N1 - M1 - 8

PY - 1994

Y1 - 1994

N2 - Cluster analysis techniques are gaining widespread use for segmentation of MRI data, especially for volume measurement and 3-D display purposes. This paper describes four improvements to such techniques: (1) The use of intensity simulations to model cluster plots; (2) Correction of image nonuniformity; (3) Anisotropic smoothing of data; and (4) Automatic isolation of tissues of interest. Simulation of cluster plots allows an informed choice of pulse sequence(s) and acquisition parameters to be made. Correction of image nonuniformity and anisotropic smoothing reduce the spread of signal intensity from a single tissue thus producing significantly more compact clusters, whilst the isolation of tissues of interest prevents overlap of clusters from the tissues of interest with those not under consideration. These techniques may be used to improve the results of cluster analysis or traded off, for example to allow lower signal-to-noise images, shorter repetition time images, or fewer images to be used for segmentation.

AB - Cluster analysis techniques are gaining widespread use for segmentation of MRI data, especially for volume measurement and 3-D display purposes. This paper describes four improvements to such techniques: (1) The use of intensity simulations to model cluster plots; (2) Correction of image nonuniformity; (3) Anisotropic smoothing of data; and (4) Automatic isolation of tissues of interest. Simulation of cluster plots allows an informed choice of pulse sequence(s) and acquisition parameters to be made. Correction of image nonuniformity and anisotropic smoothing reduce the spread of signal intensity from a single tissue thus producing significantly more compact clusters, whilst the isolation of tissues of interest prevents overlap of clusters from the tissues of interest with those not under consideration. These techniques may be used to improve the results of cluster analysis or traded off, for example to allow lower signal-to-noise images, shorter repetition time images, or fewer images to be used for segmentation.

U2 - 10.1016/0730-725X(94)90085-6

DO - 10.1016/0730-725X(94)90085-6

M3 - Article

VL - 12

SP - 1191

EP - 1204

JO - Magnetic Resonance Imaging

JF - Magnetic Resonance Imaging

SN - 0730-725X

IS - 8

ER -

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