Systems Biology (Methods in Molecular Biology)

2.2.2 An Example of Data
Analysis Workflow for MRI
Imaging

The diagram in Fig.3 shows the conceptual architecture of the

COSYSBI integrated platform for the MRI imaging management.

At the base of the system space are devices that interfere with

data acquisition equipment: MR scanners operating at 1.5, 3.0, and

7.0 T, electroencephalographic equipment (can be used in isolation

or in conjunction with MR scanners in the case of simultaneous

acquisition of neuroradiological and neurophysiological data). The

raw data produced at this first level (data acquisition) is transferred

through the DICOM protocol (images) and dedicated protocols

(EEG and MRS) (second level, data transfer) to a (classification)

third tier structure. In the third level, the data is sorted by two

possible addresses:

l Usable data for clinical purposes.

l Usable data for research purposes.

The fourth level (data storage and preprocessing) involves three

procedures:

l Convert raw data into interchange format.

l Preprocessing automated raw data (clinical data only).

l Population of repository tables based on the data header.

At this level, appropriate automatic backup procedures will be

implemented. The first level of the section in the user space implies

the opening of a user session, during which the user (local or

remote) authenticates and accesses the system, which grants

Fig. 3Conceptual architecture of the COSYSBI integrated platform

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