Investigation of resolution effects using a specialized diffusion tensor phantom

Purpose The clinical potential of the diffusion imaging‐based analysis of fine brain structures such as fornix or cingulum is high due to the central role of these structures in psychiatric diseases. However, the quantification of diffusion parameters in fine structures is especially prone to partia...

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Veröffentlicht in:Magnetic resonance in medicine 2014-03, Vol.71 (3), p.1108-1116
Hauptverfasser: Bach, Michael, Fritzsche, Klaus H., Stieltjes, Bram, Laun, Frederik B.
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container_end_page 1116
container_issue 3
container_start_page 1108
container_title Magnetic resonance in medicine
container_volume 71
creator Bach, Michael
Fritzsche, Klaus H.
Stieltjes, Bram
Laun, Frederik B.
description Purpose The clinical potential of the diffusion imaging‐based analysis of fine brain structures such as fornix or cingulum is high due to the central role of these structures in psychiatric diseases. However, the quantification of diffusion parameters in fine structures is especially prone to partial volume effects (PVEs). Methods In this study, a phantom for the investigation of PVEs and their influence on diffusion parameters in fine structures of different diameter is presented. The phantom is produced by winding wet polyester fibers onto a spindle. The resulting fiber strands have well defined square cross‐sections of 1–25 mm2 and provide a homogeneous and high fractional anisotropy (FA ≈ 0.9). Results Several PVEs are demonstrated and analyzed. It is shown that inferred results such as the fiber geometry and diffusion parameters strongly depend on the relative position of the structure of interest to the voxel‐grid. Several implications of PVEs on post‐processing methods such as Tract‐based Spatial Statistics and fiber tractography are demonstrated. Conclusion These results show that the handling of PVEs in common post‐processing tasks can be problematic, and that the presented phantom provides a valuable tool for the improvement and evaluation of these effects. Magn Reson Med 71:1108–1116, 2014. © 2013 Wiley Periodicals, Inc.
doi_str_mv 10.1002/mrm.24774
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However, the quantification of diffusion parameters in fine structures is especially prone to partial volume effects (PVEs). Methods In this study, a phantom for the investigation of PVEs and their influence on diffusion parameters in fine structures of different diameter is presented. The phantom is produced by winding wet polyester fibers onto a spindle. The resulting fiber strands have well defined square cross‐sections of 1–25 mm2 and provide a homogeneous and high fractional anisotropy (FA ≈ 0.9). Results Several PVEs are demonstrated and analyzed. It is shown that inferred results such as the fiber geometry and diffusion parameters strongly depend on the relative position of the structure of interest to the voxel‐grid. Several implications of PVEs on post‐processing methods such as Tract‐based Spatial Statistics and fiber tractography are demonstrated. Conclusion These results show that the handling of PVEs in common post‐processing tasks can be problematic, and that the presented phantom provides a valuable tool for the improvement and evaluation of these effects. 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Reson. Med</addtitle><description>Purpose The clinical potential of the diffusion imaging‐based analysis of fine brain structures such as fornix or cingulum is high due to the central role of these structures in psychiatric diseases. However, the quantification of diffusion parameters in fine structures is especially prone to partial volume effects (PVEs). Methods In this study, a phantom for the investigation of PVEs and their influence on diffusion parameters in fine structures of different diameter is presented. The phantom is produced by winding wet polyester fibers onto a spindle. The resulting fiber strands have well defined square cross‐sections of 1–25 mm2 and provide a homogeneous and high fractional anisotropy (FA ≈ 0.9). Results Several PVEs are demonstrated and analyzed. It is shown that inferred results such as the fiber geometry and diffusion parameters strongly depend on the relative position of the structure of interest to the voxel‐grid. Several implications of PVEs on post‐processing methods such as Tract‐based Spatial Statistics and fiber tractography are demonstrated. Conclusion These results show that the handling of PVEs in common post‐processing tasks can be problematic, and that the presented phantom provides a valuable tool for the improvement and evaluation of these effects. 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source MEDLINE; Wiley Online Library
subjects Algorithms
Brain - cytology
Diffusion Tensor Imaging - instrumentation
Diffusion Tensor Imaging - methods
DTI
fiber tracking
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Nerve Fibers, Myelinated - ultrastructure
partial volume effects
Phantoms, Imaging
Reproducibility of Results
resolution phantom
Sensitivity and Specificity
TBSS
title Investigation of resolution effects using a specialized diffusion tensor phantom
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