Magnetic Resonance Imaging Clinical Trial
— BiomodalOfficial title:
A Neonatal Bimodal MR-CT Head Template
Verified date | September 2018 |
Source | Centre Hospitalier Universitaire, Amiens |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
This is a retrospective study based on the images contained in the database of the University
Hospital of Amiens. There is no further examination. Electroencephalography (EEG) and
Near-Infrared Spectroscopy (NIRS). These sources are widely used to specify the source of
certain evoked potentials or to better define the sources of epileptic graphoelements,
especially in the pre-surgical assessment of refractory epilepsies.
It is therefore important that these regions are more widely available in the constitution of
the world, and that they are suitable for use in the design of new technologies. Although MRI
is the gold standard for soft tissue segmentation, it is not suitable for bone extraction;
especially in the newborn or the bone is very thin. On the other hand, CTscan is an excellent
method for extracting bone. The contrast between bone and soft tissue is excellent. In this
case, with the CTscan, the fontanelles are identified as discontinuities between the images
of the temporal scales.
Status | Completed |
Enrollment | 150 |
Est. completion date | January 1, 2017 |
Est. primary completion date | January 1, 2016 |
Accepts healthy volunteers | No |
Gender | Male |
Age group | N/A to 2 Months |
Eligibility |
Inclusion Criteria: - children aged between 0 and 2 months new born at term - with no structural abnormalities Exclusion Criteria: - infants > 2 months |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Centre Hospitalier Universitaire, Amiens |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | CTscan images | The objective of this study is to evaluate a model-based approach for extracting fontanel from CTscan images. Then, recalibrate these CT scan images in a unique repository with MRI images to obtain a composite image of different brain tissues such as brain, LCS and skin (MRI) and bone and fontanelle (CTscan). | 2 months |
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