title: Tri-linear interpolation-based cerebral white matter fiber imaging.
abstract: Diffusion tensor imaging is a unique method to visualize white matter fibers three-dimensionally, non-invasively and in vivo, and therefore it is an important tool for observing and researching neural regeneration. Different diffusion tensor imaging-based fiber tracking methods have been already investigated, but making the computing faster, fiber tracking longer and smoother and the details shown clearer are needed to be improved for clinical applications. This study proposed a new fiber tracking strategy based on tri-linear interpolation. We selected a patient with acute infarction of the right basal ganglia and designed experiments based on either the tri-linear interpolation algorithm or tensorline algorithm. Fiber tracking in the same regions of interest (genu of the corpus callosum) was performed separately. The validity of the tri-linear interpolation algorithm was verified by quantitative analysis, and its feasibility in clinical diagnosis was confirmed by the contrast between tracking results and the disease condition of the patient as well as the actual brain anatomy. Statistical results showed that the maximum length and average length of the white matter fibers tracked by the tri-linear interpolation algorithm were significantly longer. The tracking images of the fibers indicated that this method can obtain smoother tracked fibers, more obvious orientation and clearer details. Tracking fiber abnormalities are in good agreement with the actual condition of patients, and tracking displayed fibers that passed though the corpus callosum, which was consistent with the anatomical structures of the brain. Therefore, the tri-linear interpolation algorithm can achieve a clear, anatomically correct and reliable tracking result.
authors.affiliation: School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
authors.forename: Shan
authors.initials: S
authors.lastname: Jiang
authors.affiliation: School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
authors.forename: Pengfei
authors.initials: P
authors.lastname: Zhang
authors.affiliation: Medical Image Evaluation Center, Tianjin Huanhu Hospital, Tianjin 300060, China.
authors.forename: Tong
authors.initials: T
authors.lastname: Han
authors.affiliation: School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
authors.forename: Weihua
authors.initials: W
authors.lastname: Liu
authors.affiliation: School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
authors.forename: Meixia
authors.initials: M
authors.lastname: Liu
keywords: diffusion tensor imaging; fiber tracking; grants-supported paper; magnetic resonance imaging; neural regeneration; neuroimaging; neuroregeneration; tensor algorithm; tri-linear interpolation; white matter fiber