## Abstract A number of Image modeling techniques have been proposed to represent magnetic resonance spectro‐scopic images. The goal of these techniques is to reduce the amount of data and thus the time required to reconstruct the image. However, little attention has been given to the choice of k‐s
Image-guided MR spectroscopy volume of interest localization for longitudinal studies
✍ Scribed by Steven L. Hartmann; Benoit M. Dawant; Mitchell H. Parks; Heide Schlack; Peter R. Martin
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 839 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0895-6111
No coin nor oath required. For personal study only.
✦ Synopsis
Longitudinal magnetic resonance spectroscopy (MRS) studies require accurate repositioning of the volume of interest (VOI) over which measurements are made. In this work we present and evaluate a method for the image-guided repositioning of brain volumes of interest. The point-based registration technique we developed allows the repositioning to be performed on-line (i.e. while the patient is in the scanner). MR image volumes were acquired from six subjects, three scans each over the course of a month. During the first scan, two spectroscopy VOIs are visually selected: one in the frontal white matter, the other in the superior cerebellar vermis. The coordinates of 13 internal brain landmarks are also identified. During both subsequent scans, the same 13 landmarks are identified, and the transformation that registers the first set of landmarks to the subsequent set is computed. This result is used to automatically map the position of the spectroscopy VOIs from the first volume to the current volume. For the six subjects evaluated to date, we show an average repositioning error of the spectroscopy VOIs in the order of 1 mm. This accuracy allows us to conclude that any variations in the MR spectra are unlikely to be due to repositioning error.
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