Detection of the Arterial Input Function Using DSC-MRI Data

Autor:	Alkhimova, Svitlana, Sazonova, Kateryna
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition
Zdroj:	Proceedings of the V International Scientific and Practical Conference "Modern and global methods of the development of scientific thought", October 25-28, 2022, Florence, Italy. - Florence : International Science Group, 2022. - P. 541-547
Druh dokumentu:	Working Paper
Popis:	Accurate detection of arterial input function is a crucial step in obtaining perfusion hemodynamic parameters using dynamic susceptibility contrast-enhanced magnetic resonance imaging. It is required as input for perfusion quantification and has a great impact on the result of the deconvolution operation. To improve the reproducibility and reliability of arterial input function detection, several semi- or fully automatic methods have been proposed. This study provides an overview of the current state of the field of arterial input function detection. Methods most commonly used for semi- and fully automatic arterial input function detection are reviewed, and their advantages and disadvantages are listed. Comment: 7 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2303.02516 Zobrazit plný text záznamu View this record from Arxiv