1. University of Illinois at Chicago
Laboratory for Product and Process Design
East Campus Room 4052
Director: Dr. Andreas Linninger
August 13, 2013
2. The aim of this study is to compare the cerebrospinal fluid spaces
of the normal rabbit and hydrocephalus model and to compare
the volume changes using image reconstruction software
applications.
This study employed both manual and automated segmentation
methods, in-vivo and ex-vivo to perform 3-D reconstruction of
the ventricular system.
The goal of the study is to reveal the normal and hydrocephalus
SAS using these software applications and use these findings to
improve the treatment of hydrocephalus.
Imaging modalities, 3-D angiography and MRI, in conjunction with
image reconstruction contribute to the analysis of hydrocephalus
research. There are challenges still to be tackled for the tissue
preparation and image acquisition of small animal ex-vivo MRI.
ImageJ and MIMICS are powerful image processing tools which
can be used to analyze and understanding how the brain responds
to a hydrocephalus state.
7/24/2013
2
3. GOALS RELEVANCE OF OUR RESEARCH
1. To measure the volume of
the ventricular system of a
normal rabbit between a
hydrocephalus model
2. To create 3-D Medical Image
reconstruction of the rabbit’s
subarachnoid spaces and central
nervous system
3. To generate the basic
technical and experimental
procedures of the MRI for small
animals ex-vivo
To utilize the volume mesh as
a mean to qualify the
differences of the normal
rabbit with a hydrocephalus
model.
To perform ex vivo on brain
slice preparations
To get a better brain image
To understand the issues and
challenges related to small
animal MRI experiment
including design, data
acquisition, and processing.
3
7/24/2013
5. Figure 1: MRI image showing an axial
slice of the rat CNS 5
Figure 2: MRI image showing an axial slice of the rat CNS
with the segmentation masks corresponding to CSF space
(pink) and CNS tissue regions (blue)
7/24/2013
The parameters used for obtaining the MRI images on a 9.4T animal MR scanner (Agilent) were as
indicated: Tr =2800ms, Te =16.38ms, averages =2, matrix =256x256, slices =15, Thickness
=0.195mm, gap =0mm, orientation: axial
6. Figure 3: Screenshot of the 3D of the
CSF space of the rat
Figure 4: MRI image showing an axial slice of the rat
CNS with the segmentation masks corresponding to CSF
space (pink) and CNS tissue regions (blue)
6
7/24/2013
Mask A
Mid spine to the end of the
spinal canal region
Mask B
Upper brain to mid spine region
9. 9
7/24/2013
Figure 8: Subtracted surface mesh obtained by Boolean subtraction of meshes
corresponding to CNS space and CNS tissue.
CNS SAS
=
CNS
tissue
Central Nervous
System
10. Definition
Figure 9: Brain ex-vivo and a
photograph of a brain coronal plane.
Magnetic resonance imaging
(MRI)
A technique whereby the
interior of the tissue can
be accurately imaged;
involves the interaction
between radio waves and
a strong magnetic field.
MR Microscopy can resolve
volumes of down to 50
mm³ (clinical MR does
1mm³) use for small
animal experiments (in
place of destructive
histology)
10
7/24/2013
11. An angiography image
of the experimental
set-up.
Dr. Basati induced hydrocephalus
with a butterfly needle
11
7/24/2013
12. 12
7/24/2013
Brain Model Results of the
hydrocephalus rabbit
Image Reconstruction in
rat’s
CNS
Hydrocephalus has not
produced in rabbits.
Digital Subtraction
Angiography
Next steps:
To understand the issues and
Challenges related to small
MRI experiment including
design, data acquisition and
processing.
13. 8/7/2013-Next Steps
To utilize the volume measurement as a mean to qualify
the differences of the normal rabbit with a
hydrocephalus model.
To observe an underlying hydrocephalic rabbit ‘s soft-tissue
brain model
To understand the issues and challenges related to small
animal MRI experiment including design, data
acquisition, and processing.
To understand what is 3-D rotational angiography
To generate my final report, video and poster
13
7/24/2013
14. Abstract ID: 9970 Title: Small Animal Magnetic Resonance Imaging: Current Trends, Challenges and
Perspectives for Pathological Imaging.
Benveniste H. Blackband S. 2002. MR microscopy and high resolution small animal MRI:
Applications in neuroscience research. Prog Neurobiol 67: 393-420.
Budinger, T.F. Lauterbur, P.C., 1984. Nuclear magnetic resonance technology for medical studies.
Science 226, 288-298.
D’Arceuil H. Liu, C., Levitt, P. Thompson, B., Kosofsky, Crespigny, A. 2007. Three-dimensional high-
resolution diffusion tensor imaging and tractography of the developing rabbit brain. Dev Neurosci
30, 262-275
Driehuy B., Nouls J., Badea A., Bucholz, E., Ghaghada K., Petiet A., and Laurence W. Hedlund L.
W. 2008. Small animal imaging with magnetic resonance microscopy. Volume 49, 1. 35-53
MRI Physics 1: Image Acquisition
Description: Increases signal/noise: antenna ... Felix Block and Edward Purcell ... Purcell. 6. How fast do hydrogen atoms
spin? Field Strength (Tesla) 180. 40. 1.0. 4.0 ... – PowerPoint PPT presentation
http://www.loni.ucla.edu/MAP
This website provides information on digital web based mouse brain atlases that are based on
MR microscopy data.
http://mouseatlas.caltech.edu/13.5 pc/
This website provide another mouse brain atlas.
14
7/24/2013
Notes de l'éditeur
My name is Zenaida Almodovar
This past week I have been working on reconstructing the cerebrospinal fluid spaces (CSF) within the entire central nervous system (brain and spinal cord regions) of a rat. CSF is a clear fluid that acts as a cushion and protection for the brain.
The research project’s primary purpose is to develop the volume measurement to be utilized for 3 D reconstruction simulation and quantitative applications. This is a mean to qualify the difference of the normal rabbit and a hydrocephalus model.
If you recall this is an image reconstruction flow chart on how to reconstruct a 3d medical image object into a volume mesh. Then you can perform computational dynamic flow simulation
MIMICS on rat’s SAS
The reconstruction has been performed by using both ‘Mimics’ and ‘3-matic’ softwares.
Mimics is used for creating masks and surface meshes.
First Step
This is a MRI image showing a slice of the rat CNS. 3 D domain is divided which we can apply a mask you can highlight the region of interest manually or automatically by threshold settings. The specific structures of interest were “colored” with the help of the layer tool on slice.
The procedure utilizes medical image data on which regions of interest are selected. In this case we have used sequential axial images of the rat CNS. In this learning module, we have made 2 masks:
Mask I for the required CSF space (as indicated by the region in figure 2 in the pink region of interest)
Mask II for the spinal cord and brain tissue (as indicated by the blue region in figure 2)
Once the medical image data were loaded into MIMICS projects, the next stage is to convert the raw data into 3D objects.
A 3D object were generated from the segmentation mask of 2 D slices. We made two masks. This is a segmentation masks of CSF cerebrospinal fluid space and the central nervous space tissue regions. Then, I remesh for automatic upload onto a 3 Matic software and then I saved it as a STL file.
Now, I used the 3-matic software. It is used for improving the surface mesh and generate a volume mesh. Then, the two masks are then converted into two 3D surface mesh as shown in figure 5 and 6. The green object represents the surface mesh for the CNS tissue. I will do the same procedures for the pink region of CSF.
Diagnostics were used to check the mesh integrity. Then I create a volume mesh from the completed surface mesh to export to Fluent
The volume mesh can then be used for performing computations using computational fluid dynamics (CFD) software such as ANSYS Fluent. This is the blue volume mesh. It has to be done for the red surface mesh as well.
Before this can be done, we subtract the blue mask (CNS tissue) from the red mask (CSF space) in order to get the final mask only the CSF space.
Then, this surface mesh was used to reconstruct the volume mesh.
I will subtract CNS tissue from the CNS region in order to resolve the SAS.
Small Animal MRM
It requires tenfold increase in image resolution in all three dimensions, resulting in signal reductions of at least a factor of 1000.
To overcome this challenge, it requires the development of technology specific to MRM-magnets, imaging coils, image acquisition sequences and biological support for small animals in high magnetic fields. We are also working on the Basic procedures for the MRI scanning of the rabbit ventricular system because there are several challenges in order to retain the same relative anatomical definition as the human image; it must be acquired with a voxel volume approximately 3,000 times smaller than of a human and the accompanying signal loss must be “won back.”
Such challenges are low signal-to-noise ratios, biological support for small animals in high magnetic field, and demanding data processing
requirements.
This is the result of all of the hydrocephalus model of four rabbits
Thank you for listening to my power point presentation.
I would like to thank my mentor Kevin for his assistance on my research.