Title:

Tractography Methods in Preoperative Neurosurgical Planning, Journal of Telecommunications and Information Technology, 2021, nr 3

Creator:

Ciecierski, Konrad A. ; Koryciński, Mateusz

Subject and Keywords:

neural networks ; artificial intelligence ; graph traversing ; MRI ; diffusion tensor imaging ; tractography ; Dijkstra's algorithm

Description:

Knowledge of the location of nerve tracts during the surgical preoperative planning stage and during the surgery itself may help neurosurgeons limit the risk of causing neurological deficits affecting the patient’s essential abilities. Development of MRI techniques has helped profoundly with in vivo visualization of the brain’s anatomy, enabling to obtain images within minutes. Different methodologies are relied upon to identify anatomical or functional details and to determine the movement of water molecules, thus allowing to track nerve fibers. However, precise determination of their location continues to be a labor-intensive task that requires the participation of highly-trained medical experts. With the development of computational methods, machine learning and artificial intelligence, many approaches have been proposed to automate and streamline that process, consequently facilitating image-based diagnostics. This paper reviews these methods focusing on their potential use in neurosurgery for better planning and intraoperative navigation

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Date:

2021, nr 3

Resource Type:

artykuł

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności