Paper Info
Title
A Patient-Specific Computer Model for Prediction of Clinical Outcomes in the Cerebral Circulation Using MR Flow Measurements
Abstract
A patient-specific, computer model of the cerebral circulation to predict cerebral blood flow and pressure is presented. The model is based on a previously reported numeric model consisting of a network of distensible vessels with pulsatile flow. The enhanced model uses a sector scheme to determine the efferent resistance distribution for a specific patient. An iterative algorithm was developed to determine the patient-specific efferent resistance distribution from in vivo cerebral blood flow measurements obtained using phase contrast magnetic resonance angiography (PCMRA). In comparison with PCMRA flow measurements and clinical outcomes, the enhanced model shows its ability to predict cerebral flow well in three patients who underwent a balloon occlusion of the carotid artery. A model that accurately predicts cerebral blood flow for different treatment scenarios can provide the surgeon with an invaluable tool in the management of complex cerebral vascular disorders.
Year
DOI
Venue
1999
10.1007/10704282_40
MICCAI
Keywords
Field
DocType
clinical outcomes,cerebral circulation,patient-specific computer model,mr flow measurements,phase contrast,iterative algorithm,flow measurement,computer model,pulsatile flow,cerebral blood flow
Occlusion,Pulsatile flow,Computer science,Internal medicine,Cardiology,Balloon,Cerebral blood flow,Magnetic resonance angiography,Radiology,Cerebral perfusion pressure,Cerebral circulation,Efferent
Conference
Volume
ISSN
ISBN
1679
0302-9743
3-540-66503-X
Citations 
PageRank 
References 
1
0.48
1
Authors
7
Name
Order
Citations
PageRank
M. E. Clark110.82
Meide Zhao2182.50
Francis Loth3213.60
Noam Alperin4103.15
Lewis Sadler510.48
Kern Guppy610.48
Fady T. Charbel741.34