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An improved fiber tracking algorithm based on fiber assignment using the continuous tracking algorithm and two-tensor model.

Zhu L, Guo G - Neural Regen Res (2012)

Bottom Line: Different models and tracking decisions were used by judging the type of estimation of each voxel.This method should solve the cross-track problem.Compared with fiber assignment with a continuous tracking algorithm, our novel method can track more and longer nerve fibers, and also can solve the fiber crossing problem.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Xiamen Second Hospital, Teaching Hospital of Fujian Medical University, Xiamen 361021, Fujian Province, China.

ABSTRACT
This study tested an improved fiber tracking algorithm, which was based on fiber assignment using a continuous tracking algorithm and a two-tensor model. Different models and tracking decisions were used by judging the type of estimation of each voxel. This method should solve the cross-track problem. This study included eight healthy subjects, two axonal injury patients and seven demyelinating disease patients. This new algorithm clearly exhibited a difference in nerve fiber direction between axonal injury and demyelinating disease patients and healthy control subjects. Compared with fiber assignment with a continuous tracking algorithm, our novel method can track more and longer nerve fibers, and also can solve the fiber crossing problem.

No MeSH data available.


Related in: MedlinePlus

Fiber tracking results in the healthy control and the axonal injury patient in the midbrain area.Each picture shows in the most appropriate field of view according to the size of the object in it.(A0) Fluid-attenuated inversion recovery (FLAIR) image with rectangle region of interest in red in healthy control, (A1–A3) FLAIR images with different rectangle regions of interest in red in axonal injury patient, (B0-B3) fiber assignment by continuous tracking algorithm results, (C0–C3) new algorithm results, (D0–D3) overlapped.
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Figure 3: Fiber tracking results in the healthy control and the axonal injury patient in the midbrain area.Each picture shows in the most appropriate field of view according to the size of the object in it.(A0) Fluid-attenuated inversion recovery (FLAIR) image with rectangle region of interest in red in healthy control, (A1–A3) FLAIR images with different rectangle regions of interest in red in axonal injury patient, (B0-B3) fiber assignment by continuous tracking algorithm results, (C0–C3) new algorithm results, (D0–D3) overlapped.

Mentions: Figure 3 shows fiber tracking results from a healthy subject and an axon injury patient in the midbrain area. Figure 3A0 is part of a fluid-attenuated inversion recovery (FLAIR) image from a healthy subject, while Figures 3A1–A3 shows data from the axonal injury patient with different rectangular regions of interest, and Figures 3B0–D3 are the fiber tracking results. The parameters used during the tracking process strongly influence the results[1415].


An improved fiber tracking algorithm based on fiber assignment using the continuous tracking algorithm and two-tensor model.

Zhu L, Guo G - Neural Regen Res (2012)

Fiber tracking results in the healthy control and the axonal injury patient in the midbrain area.Each picture shows in the most appropriate field of view according to the size of the object in it.(A0) Fluid-attenuated inversion recovery (FLAIR) image with rectangle region of interest in red in healthy control, (A1–A3) FLAIR images with different rectangle regions of interest in red in axonal injury patient, (B0-B3) fiber assignment by continuous tracking algorithm results, (C0–C3) new algorithm results, (D0–D3) overlapped.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4308771&req=5

Figure 3: Fiber tracking results in the healthy control and the axonal injury patient in the midbrain area.Each picture shows in the most appropriate field of view according to the size of the object in it.(A0) Fluid-attenuated inversion recovery (FLAIR) image with rectangle region of interest in red in healthy control, (A1–A3) FLAIR images with different rectangle regions of interest in red in axonal injury patient, (B0-B3) fiber assignment by continuous tracking algorithm results, (C0–C3) new algorithm results, (D0–D3) overlapped.
Mentions: Figure 3 shows fiber tracking results from a healthy subject and an axon injury patient in the midbrain area. Figure 3A0 is part of a fluid-attenuated inversion recovery (FLAIR) image from a healthy subject, while Figures 3A1–A3 shows data from the axonal injury patient with different rectangular regions of interest, and Figures 3B0–D3 are the fiber tracking results. The parameters used during the tracking process strongly influence the results[1415].

Bottom Line: Different models and tracking decisions were used by judging the type of estimation of each voxel.This method should solve the cross-track problem.Compared with fiber assignment with a continuous tracking algorithm, our novel method can track more and longer nerve fibers, and also can solve the fiber crossing problem.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Xiamen Second Hospital, Teaching Hospital of Fujian Medical University, Xiamen 361021, Fujian Province, China.

ABSTRACT
This study tested an improved fiber tracking algorithm, which was based on fiber assignment using a continuous tracking algorithm and a two-tensor model. Different models and tracking decisions were used by judging the type of estimation of each voxel. This method should solve the cross-track problem. This study included eight healthy subjects, two axonal injury patients and seven demyelinating disease patients. This new algorithm clearly exhibited a difference in nerve fiber direction between axonal injury and demyelinating disease patients and healthy control subjects. Compared with fiber assignment with a continuous tracking algorithm, our novel method can track more and longer nerve fibers, and also can solve the fiber crossing problem.

No MeSH data available.


Related in: MedlinePlus