Biomedical Engineering Reference
In-Depth Information
14.4
Conclusion
The production control system that we have developed allows the rapid imple-
mentation and efficient parallel execution of processing pipelines on large
amounts of data. PCS has shown its usefulness in a number of application areas
as shown by the examples, and it is currently in routine use at the BIC for the
automatic analysis of MRI data in a multicenter, mass production setting. The
use of stereotaxic space combined with automated image processing tools
yields a powerful qualitative and quantitative data analysis paradigm that facil-
itates comparisons over time for an individual, between subjects, between
different groups of subjects, and between acquisition sites. Furthermore, the
brain-based coordinate system permits anatomically-based processing and
hypothesis testing, such as using spatial masks to limit processing to a specific
region or using anatomical information as spatial priors. The combination of
stereotaxic space with the collection of automated image processing tools makes
it possible to embark on a myriad of studies that were previously impractical.
References
1. J. Mazziotta, A. Toga, A. Evans, P. Fox, and J. Lancaster, A probabilistic atlas of
the human brain: theory and rationale for its development. The international
consortium for brain mapping,
NeuroImage,
vol. 2, no. 2, pp. 89-101, 1995.
2. J. Talairach and P. Tournoux,
Co-planar Stereotactic Atlas of the Human Brain: 3-
Dimensional Proportional System: an Approach to Cerebral Imaging.
Stuttgart: Georg
Thieme Verlag, 1988.
3. G. Schaltenbrand and P. Bailey,
Introduction to Stereotaxis with an Atlas of the Human
Brain.
Stuttgart: Georg Thieme Verlag, 1959.
4. G. Schaltenbrand and W. Wahren,
Atlas for Stereotaxy of the Human Brain.
Stuttgart:
Yearbook Med, 1959.
5. K. Brodmann,
Vergleichende Lokalisationlehre der Grosshirnrinde in ihren Prinzipien
dargestellt auf Grund des Zellenbaues.
Leipzig: J.A. Barth, 1909.
6. T. Matsui and A. Hirano,
An Atlas of the Human Brain for Computerized Tomography.
Tokyo: Igaku-Shoin, 1978.
7. M. Huerta, S. Koslow, and A. Leshner, The Human Brain Project: an international
resource,
Trends Neurosci.,
vol. 16, pp. 436-438, 1993.
8. A.C. Evans, C. Beil, S. Marrett, C.J. Thompson, and A. Hakim, Anatomical func-
tional correlation using an adjustable MRI based atlas with PET,
J. Cereb. Blood
Flow Metab.,
vol. 8, no. 4, pp. 813-830, 1988.
9. A.C. Evans, S. Marrett, J. Torrescorzo, S. Ku, and L. Collins, MRI-PET correlation
in three dimensions using a volume-of-interest (VOI) atlas,
J. Cereb. Blood Flow
Metab.,
vol. 11, pp. A69-78, Mar. 1991.
10.
C. Bohm, T. Greitz, R. Seitz, and L. Eriksson, Specification and selection of regions
of interest (rois) in a computerized brain atlas,
J. Cereb. Blood Flow Metab.,
vol.
11, pp. A64-8, Mar. 1991. Review.
