Standard tractography on in-silico phantom
Blurring fiber orientations using TODI or dMRI simulation
Fibertube tracking
Example of peaks extracted from ODFs.
Standard tractography on in-silico phantom
Fibertube tracking
Tracking
Standard tractography on in-silico phantom
Fibertube tracking
Fibertube tracking
Standard tractography on in-silico phantom
The result is scored for bundle connectivity and coverage.
Standard tractography on in-silico phantom
Tracking directly on fibertubes (streamlines with diameter). At each step, the next direction is picked randomly from within a blurring sphere.
Fibertube tracking
Standard tractography on in-silico phantom
Resolution can be "increased" by reducing the radius of the blurring sphere.
Fibertube tracking
Fibertube tracking
Standard tractography on in-silico phantom
The result is scored, this time for individual fibertube connectivity.
Fibertube tracking – Picking the next direction
Intersection volumes:
■ : ~2um²
Random distribution:
■ : 100%
The intersection between the sphere and the orange segment is ~2um².�It has a 100% chance of being picked as the next direction.
Fibertube tracking – Picking the next direction
Intersection volumes:
■ : ~1.6um²
■ : ~0.4um²
Random distribution:
■ : 80%
■ : 20%
After multiple steps with the same result, we now have a different situation.
We now have an 80% chance of choosing the orientation of ■ and a 20% chance of choosing the orientation of ■.
Fibertube tracking – Picking the next direction
To respect the Θ angle constraint, fibertube segments are filtered prior to selection. In this situation, both ■ and ■ are filtered out.
Fibertube tracking – Picking the next direction
The only stopping criterion is the absence of fibertube segments intersecting with the sphere. (After filtering for Θ constraint)
In this situation, because ■ was picked at the previous step, there is now nowhere to go. This is the end of the streamline.
If the step size is larger than the sphere's radius, there will be a higher chance of early stoppage. These two parameters should be chosen wisely.
Fibertube tracking – Picking the next direction
By using a very large sphere and step size, we can "blur" the data more.
Fibertube tracking – Picking the next direction
Fibertube tracking – Picking the next direction
By using a sphere of radius and step size = ~0, we could achieve a theoretically "perfect" tracking of the fibertubes.
Fibertube tracking – Picking the next direction
Fibertube tracking – Validation of the tractogram
Each streamline is associated with an "Termination fibertube segment", which is the closest fibertube segment to its before-last coordinate. We then define the following terms:
"Valid Connection" (VC): A streamline whose termination fibertube segment is the final segment of the fibertube in which is was originally seeded.
"Invalid Connection" (IC): A streamline whose termination fibertube segment is the start or final segment of a fibertube in which is was not seeded.
"No Connection" (NC): A streamline whose termination fibertube segment is not the start or final segment of any fibertube.
Seeded fibertube
Non-seeded fibertube
Fibertube tracking – Validation of the tractogram
Fibertube tracking can also assess how well the produced streamline "reconstructs" its associated fibertube. It computes the absolute error of streamline coordinates.
Properties:
The endpoint distance is the distance between the last coordinate of the streamline and the last coordinate of its parent fibertube
Properties:
Fibertube tracking – Validation of the tractogram
Fibertube tracking – Validation of the tractogram
Properties:
Ground-truth Orientation
Distribution
Directions:
22% 23% 40% 15%
Probability distribution:
Each direction is always a valid, existing direction of the ground-truth fibertubes. Very powerful and appears to converge towards an optimal trajectory at extremely small scale and step size.
ftODF
22% 23% 40% 15%
45%
40%
15%
Ground-truth Orientation distribution
ftODF as SF
Slight loss of information when approximating on sphere vertices
Almost equivalent to TODI performed locally during tracking. The only difference is that TODI is typically weighted by the length of each segment, while ftODF is weighted by the intersection volume. This ftODF can be used for probabilistic sampling, as well as deterministic peak extraction
ftODF as SH
Fin de présentation
Images
Fibertube Segment
Fibertube
Centerline
Diameter
Inter-segment Gap
Inter-segment Superposition
Fibertube Segment
T
T’
T
T’
Radius
Radius
VC
IC
NC
Tracker
ODFPropagator(AbstractPropagator)
DataVolume
1
2
3
4
5
Tracker
FibertubePropagator(AbstractPropagator)
FibertubeDataVolume(DataVolume)
Unchanged
Tracker
ODFPropagator(AbstractPropagator)
ftODFDataVolume(FibertubeDataVolume)
Unchanged
Unchanged
1
2
3
4
5