## Abstract An automated method for extracting brain volumes from three commonly acquired three‐dimensional (3D) MR images (proton density, T1 weighted, and T2‐weighted) of the human head is described. The procedure is divided into four levels: preprocessing, segmentation, scalp removal, and postpr
“Follow-up” method for processing of brain function MR images
✍ Scribed by P. Sabbah; G. Simond; G. Salamon
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 396 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0895-6111
No coin nor oath required. For personal study only.
✦ Synopsis
FM'RI with standard 1.5 T scanners requires adapted algorithms because the time course of intensity signal showed a non-linearity of tbe baseline. The protocol contains scqaenttal images cover& periods of rest followed periods of stimulation. The images of each period of rest and stimulation were averaged, offering a series of averaged images. From this series, we conserved only tbe pixels which presented the alternated variations conaspomdhg to the temporai pattern of the paradigm. A coloor scale was osed to present the average percentage of variations of each pixel selected. We have performed activation paradigms with a cla&cai motor protocol. This simple %How+p" method appears effective for the identifications of activated areas. 0 l9!77 Ek&er Science Ltd.
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