Volume 34, Issue 4 pp. 586-595
Article
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High resolution renal diffusion imaging using a modified steady-state free precession sequence

Shujun Ding Ph.D.

Corresponding Author

Shujun Ding Ph.D.

NMR Research Center, Department of Diagnostic Radiology, Dartmouth-Hitchcock Medical Center, Hanover, New Hampshire

HB6127, Dartmouth College, Hanover, NH 03755===Search for more papers by this author
Herve Trillaud

Herve Trillaud

Service de Radiologie, Hopital Pellegrin, 33076 Bordeaux, France

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Martin Yongbi

Martin Yongbi

NMR Research Center, Department of Diagnostic Radiology, Dartmouth-Hitchcock Medical Center, Hanover, New Hampshire

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Ellis L. Rolett

Ellis L. Rolett

NMR Research Center, Department of Diagnostic Radiology, Dartmouth-Hitchcock Medical Center, Hanover, New Hampshire

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John B. Weaver

John B. Weaver

NMR Research Center, Department of Diagnostic Radiology, Dartmouth-Hitchcock Medical Center, Hanover, New Hampshire

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Jeff F. Dunn

Jeff F. Dunn

NMR Research Center, Department of Diagnostic Radiology, Dartmouth-Hitchcock Medical Center, Hanover, New Hampshire

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First published: October 1995
Citations: 16

Abstract

A modified steady-state free precession (SSFP) diffusion sequence is proposed for high resolution renal imaging. A pair of bipolar diffusion gradients was used to minimize the errors in measured apparent diffusion coefficient (ADC) caused by variations in T1, T2, and RF flip angle that have been observed with previously employed SSFP diffusion sequences. Motion sensitivity was reduced by the use of compensated gradients, frame-by-frame averaging, and a repetition time of 22 ms, which for a single-acquisition 128 × 128 image requires only 3 s. High resolution was achieved by signal averaging. The modified sequence was applied to in vivo diffusion measurements. In six normal rat kidneys the ADCs (mean±SD; × 10−3 mm2/s) of the cortex, outer medulla, and inner medulla were 2.28 ± 0.05, 2.38 ± 0.10, and 2.95 ± 0.05, respectively. The technique requires relatively large gradients to achieve adequate diffusion weighting.

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