Experimental study using phantom models of cerebral aneurysms and 4D-DSA to measure blood flow on 3D-color-coded images

Author:

Fujimura Soichiro121,Yamanaka Yuma231,Kan Issei4,Nagao Masahiro3,Otani Katharina45,Karagiozov Kostadin4,Fukudome Koji6,Ishibashi Toshihiro4,Takao Hiroyuki24,Motosuke Masahiro1,Yamamoto Makoto1,Murayama Yuichi4

Affiliation:

1. Department of Mechanical Engineering, Tokyo University of Science, Tokyo, Japan

2. Division of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan

3. Graduate School of Mechanical Engineering, Tokyo University of Science, Tokyo, Japan

4. Department of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan

5. Siemens Healthcare K.K., Tokyo, Japan

6. Department of Mechanical Engineering, Kanazawa Institute of Technology, Ishikawa, Japan

Abstract

BACKGROUND: The current 3D-iFlow application can only measure the arrival time of contrast media through intensity values. If the flow rate could be estimated by 3D-iFlow, patient-specific hemodynamics could be determined within the scope of normal diagnostic management, eliminating the need for additional resources for blood flow rate estimation. OBJECTIVE: The aim of this study is to develop and validate a method for measuring the flow rate by data obtained from 3D-iFlow images – a prototype application in Four-dimensional digital subtraction angiography (4D-DSA). METHODS: Using phantom model and experimental circuit with circulating glycerin solution, an equation for the relationship between contrast media intensity and flow rate was developed. Applying the equation to the aneurysm phantom models, the derived flow rate was evaluated. RESULTS: The average errors between the derived flow rate and setting flow rate became larger when the glycerin flow and the X-rays from the X-ray tube of the angiography system were parallel to each other or when the measurement point included overlaps with other contrast enhanced areas. CONCLUSION: Although the error increases dependent on the imaging direction and overlap of contrast enhanced area, the developed equation can estimate the flow rate using the image intensity value measured on 3D-iFlow based on 4D-DSA.

Publisher

IOS Press

Reference47 articles.

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