Using Limiting Distribution of Transition Probability to Assess Coexisting Inflow and Outflow Stenosis in Experimental Stenotic Arteriovenous Grafts

Autor: Chia-Hung Lin, Wei Ling Chen, Yi-Chen Mai, Chung Dann Kan, Hung-Shang Liu, Chien-Ming Li
Rok vydání: 2016
Předmět:
Zdroj: Proceedings of the 4th IIAE International Conference on Intelligent Systems and Image Processing 2016.
DOI: 10.12792/icisip2016.074
Popis: This study proposes a screening model to assess coexisting inflow and outflow stenosis in an experimental arteriovenous graft (AVG). Early clots and thrombosis lead to stenosis progression and increase variations in inflow and outflow pressures, flow velocities, and flow resistances. A substitution rate matrix (SRM) is used to replace the pressure variations and derive a transition probability matrix (TPM). The limitation values of transition probabilities can be used to identify the normal conditions and flow instabilities using the Euclidean distance estimation method. The joint probability could then be specified as a critical threshold to identify the stenosis levels in the assessment of coexisting stenosis.
Databáze: OpenAIRE