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A simulation-based medical planning system for occlusive cardiovascular disease using one-dimensional analysis techniques.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A simulation-based medical planning system for occlusive cardiovascular disease using one-dimensional analysis techniques.
作者:	Steele, Brooke Noelani.
面頁冊數:	141 p.
附註:	Adviser: Charles Taylor.
附註:	Source: Dissertation Abstracts International, Volume: 64-09, Section: B, page: 4586.
Contained By:	Dissertation Abstracts International64-09B.
標題:	Engineering, Mechanical.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3104154
ISBN:	0496517228

A simulation-based medical planning system for occlusive cardiovascular disease using one-dimensional analysis techniques.
Steele, Brooke Noelani.

A simulation-based medical planning system for occlusive cardiovascular disease using one-dimensional analysis techniques. [electronic resource] - 141 p.

Adviser: Charles Taylor.

Thesis (Ph.D.)--Stanford University, 2003.

A working system facilitates the construction and analysis of clinically relevant models using a one-dimensional space-time finite element formulation. This approximation neglects secondary flows. This is addressed by including viscous losses based on empirical models in regions where secondary flows are anticipated. Analysis results compare favorably to in vivo measurements in porcine models.

ISBN: 0496517228Subjects--Topical Terms:

212470
Engineering, Mechanical.

A simulation-based medical planning system for occlusive cardiovascular disease using one-dimensional analysis techniques.
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520 # $a A working system facilitates the construction and analysis of clinically relevant models using a one-dimensional space-time finite element formulation. This approximation neglects secondary flows. This is addressed by including viscous losses based on empirical models in regions where secondary flows are anticipated. Analysis results compare favorably to in vivo measurements in porcine models.
520 # $a Cardiovascular disease is a leading cause of death in developed countries. Advances in cardiovascular imaging provide surgeons with additional tools to examine cardiovascular anatomy and physiology. This data is put aside as the treatment plan is sketched using paper and pencil. The surgeon considers the patient's medical condition and anticipated benefits based on the outcomes of previous patients with similar conditions. While this diagnostic/empirical approach provides insight into patient outcome, it does not enable the a priori prediction of outcomes of alternate interventions for a patient. A simulation-based medical planning system for cardiovascular disease uses computational methods to evaluate several options prior to treatment.
520 # $a The completed system is used to predict flow distribution following surgical repair for a patient case. The system is used to predict overall changes in flow and pressure distribution following surgery based on pre-operative information and to evaluate the ability to predict claudication relief.
520 # $a The system implements several types of boundary conditions, including a physiologically based impedance boundary condition that can model changes in tone of resistance vessels during exercise. This boundary condition is evaluated by comparing analysis results to in vivo, non-invasive studies of normal human subjects during rest and exercise. Uniform exercise scaling factors provided favorable flow comparisons for all subjects.
520 # $a This thesis presents the development of a simulation-based planning system for vascular surgery. An internet-based prototype system is used to demonstrate the concept to a panel of vascular surgeons. The three-dimensional analyses used to evaluate the mock clinical case provide detailed descriptions of local flow features (recirculation, shear stresses, particle residence time) but are resource and time intensive. These flow simulations are not suitable for rapid evaluation of alternate surgical options. One-dimensional analyses are found to provide flow and pressure distributions capable of providing information to rank alternate procedure outcomes.
590 $a School code: 0212.
650 # 0 $a Engineering, Mechanical. $3 212470
650 # 0 $a Engineering, Biomedical. $3 227004
650 # 0 $a Computer Science. $3 212513
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790 $a 0212
790 1 0 $a Taylor, Charles, $e advisor
791 $a Ph.D.
792 $a 2003
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