Resolution enhancement of diffusion-weighted images by local fiber profiling.

Pew Thian Yap, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Diffusion-weighted imaging (DWI), while giving rich information about brain circuitry, is often limited by insufficient spatial resolution and low signal-to-noise ratio (SNR). This paper describes an algorithm that will increase the resolution of DW images beyond the scan resolution, allowing for a closer investigation of fiber structures and more accurate assessment of brain connectivity. The algorithm is capable of generating a dense vector-valued field, consisting of diffusion data associated with the full set of diffusion-sensitizing gradients. The fundamental premise is that, to best preserve information, interpolation should always be performed along fiber streamlines. To achieve this, at each spatial location, we probe neighboring voxels in various directions to gather diffusion information for data reconstruction. Based on the fiber orientation distribution (FOD), directions that are more likely to be traversed by fibers will be given greater weights during interpolation and vice versa. This ensures that data reconstruction is only contributed by diffusion data coming from fibers that are aligned with a specific direction. This approach respects local fiber structures and prevents blurring resulting from averaging of data from significantly misaligned fibers. Evaluations suggest that this algorithm yields results with significantly less blocking artifacts, greater smoothness in anatomical structures, and markedly improved structural visibility.

Original languageEnglish
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages18-25
Number of pages8
Volume15
EditionPt 3
Publication statusPublished - 2012 Dec 1

Fingerprint

Brain
Signal-To-Noise Ratio
Artifacts
Weights and Measures
Direction compound

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Yap, P. T., & Shen, D. (2012). Resolution enhancement of diffusion-weighted images by local fiber profiling. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 3 ed., Vol. 15, pp. 18-25)

Resolution enhancement of diffusion-weighted images by local fiber profiling. / Yap, Pew Thian; Shen, Dinggang.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 15 Pt 3. ed. 2012. p. 18-25.

Research output: Chapter in Book/Report/Conference proceedingChapter

Yap, PT & Shen, D 2012, Resolution enhancement of diffusion-weighted images by local fiber profiling. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 3 edn, vol. 15, pp. 18-25.
Yap PT, Shen D. Resolution enhancement of diffusion-weighted images by local fiber profiling. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 3 ed. Vol. 15. 2012. p. 18-25
Yap, Pew Thian ; Shen, Dinggang. / Resolution enhancement of diffusion-weighted images by local fiber profiling. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 15 Pt 3. ed. 2012. pp. 18-25
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