Effects of spatial and temporal resolution for MR image-guided thermal ablation of prostate with transurethral ultrasound
Purpose To describe approaches for determining optimal spatial and temporal resolutions for the proton resonance frequency shift method of quantitative magnetic resonance temperature imaging (MRTI) guidance of transurethral ultrasonic prostate ablation. Materials and Methods Temperature distribution...
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Published in: | Journal of magnetic resonance imaging Vol. 22; no. 1; pp. 109 - 118 |
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Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01-07-2005
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Subjects: | |
Online Access: | Get full text |
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Summary: | Purpose
To describe approaches for determining optimal spatial and temporal resolutions for the proton resonance frequency shift method of quantitative magnetic resonance temperature imaging (MRTI) guidance of transurethral ultrasonic prostate ablation.
Materials and Methods
Temperature distributions of two transurethral ultrasound applicators (90° sectored tubular and planar arrays) for canine prostate ablation were measured via MRTI during in vivo sonication, and agree well with two‐dimensional finite difference model simulations at various spatial resolutions. Measured temperature distributions establish the relevant signal‐to‐noise ratio (SNR) range for thermometry in an interventional MR scanner, and are reconstructed at different resolutions to compare resultant temperature measurements. Various temporal resolutions are calculated by averaging MRTI frames.
Results
When noise is added to simulated temperature distributions for tubular and planar applicators, the minimum root mean squared (RMS) error is achieved by reconstructing to pixel sizes of 1.9 and 1.7 mm, respectively. In in vivo measurements, low spatial resolution MRTI data are shown to reduce the noise without significantly affecting thermal dose calculations. Temporal resolution of 0.66 frames/minute leads to measurement errors of more than 12°C during rapid heating.
Conclusion
Optimizing MRTI pixel size entails balancing large pixel SNR gain with accuracy in representing underlying temperature distributions. J. Magn. Reson. Imaging 2005;22:109–118. © 2005 Wiley‐Liss, Inc. |
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Bibliography: | ArticleID:JMRI20339 ark:/67375/WNG-697TS7WV-X istex:683DEDA20302E16596DFE80EF3B56C4F29F0A15D NIH - No. R33 CA88205; No. RR 09784 NCI Training Grant - No. T32 CA09695 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1053-1807 1522-2586 |
DOI: | 10.1002/jmri.20339 |