Name
Title | ||
|---|---|---|
Image-based modeling and precision medicine: patient-specific carotid and coronary plaque assessment and predictions. |
Abstract | ||
|---|---|---|
Atherosclerotic plaques may rupture without warning and cause acute cardiovascular events such as heart attack and stroke. Current clinical screening tools are insufficient to identify those patients with risks early and prevent the adverse events from happening. Medical imaging and image-based modeling have made considerable progress in recent years in identifying plaque morphological and mechanical risk factors which may be used in developing improved patient screening strategies. The key steps and factors in image-based models for human carotid and coronary plaques were illustrated, as well as grand challenges facing the researchers in the field to develop more accurate screening tools. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TBME.2013.2242891 | IEEE Trans. Biomed. Engineering |
Keywords | Field | DocType |
fluid-structure interaction (fsi),atherosclerosis,medical disorders,ultrasonic imaging,heart attack,diseases,atherosclerotic plaques,morphological risk factors,patient screening strategy,rupture,stroke,acute cardiovascular events,mri,blood vessels,biomedical ultrasonics,vulnerable plaques,cardiovascular system,mri-based modeling,biomedical mri,magnetic resonance imaging,patient-specific coronary plaque assessment,clinical screening tools,intravascular ultrasound (ivus)-based modeling,precision medicine,fluid–structure interaction (fsi),medical imaging,mechanical risk factors,patient-specific carotid plaque assessment,image-based modeling,data models,strain,stress,predictive models,risk factors,hemodynamics,in vivo,geometry | Computer vision,Precision medicine,Medical imaging,Carotid arteries,Image based,Stroke,Intensive care medicine,Biomarker (medicine),Artificial intelligence,Radiology,Medicine,Ultrasonic imaging | Journal |
Volume | Issue | ISSN |
60 | 3 | 1558-2531 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dalin Tang | 1 | 10 | 4.95 |
| Chun Yang | 2 | 4 | 2.81 |
| Jie Zheng | 3 | 8 | 2.91 |
| Gador Canton | 4 | 1 | 0.75 |
| Richard G Bach | 5 | 3 | 1.51 |
| Thomas S Hatsukami | 6 | 1 | 2.38 |
| Liang Wang | 7 | 1 | 1.30 |
| Deshan Yang | 8 | 50 | 14.88 |
| Kristen L Billiar | 9 | 2 | 0.89 |
| Chun Yuan | 10 | 24 | 9.06 |