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Image quality stability of whole-body diffusion weighted imaging / 中国医学科学杂志(英文版)
Chinese Medical Sciences Journal ; (4): 122-126, 2009.
Article in English | WPRIM | ID: wpr-302636
ABSTRACT
<p><b>OBJECTIVE</b>To assess the reproducibility of whole-body diffusion weighted imaging (WB-DWI) technique in healthy volunteers under normal breathing with background body signal suppression.</p><p><b>METHODS</b>WB-DWI was performed on 32 healthy volunteers twice within two-week period using short TI inversion-recovery diffusion-weighted echo-planar imaging sequence and built-in body coil. The volunteers were scanned across six stations continuously covering the entire body from the head to the feet under normal breathing. The bone apparent diffusion coefficient (ADC) and exponential ADC (eADC) of regions of interest (ROIs) were measured. We analyzed correlation of the results using paired-t-test to assess the reproducibility of the WB-DWI technique.</p><p><b>RESULTS</b>We were successful in collecting and analyzing data of 64 WB-DWI images. There was no significant difference in bone ADC and eADC of 824 ROIs between the paired observers and paired scans (P>0.05). Most of the images from all stations were of diagnostic quality.</p><p><b>CONCLUSION</b>The measurements of bone ADC and eADC have good reproducibility. WB-DWI technique under normal breathing with background body signal suppression is adequate.</p>
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Respiration / Image Processing, Computer-Assisted / Reproducibility of Results / Echo-Planar Imaging / Diffusion Magnetic Resonance Imaging / Whole Body Imaging / Methods Limits: Adult / Aged / Female / Humans / Male Language: English Journal: Chinese Medical Sciences Journal Year: 2009 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Respiration / Image Processing, Computer-Assisted / Reproducibility of Results / Echo-Planar Imaging / Diffusion Magnetic Resonance Imaging / Whole Body Imaging / Methods Limits: Adult / Aged / Female / Humans / Male Language: English Journal: Chinese Medical Sciences Journal Year: 2009 Type: Article