Evidence map›Paper›PMID 38968064›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2024

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

Soichiro Fujimura, Yuma Yamanaka, Issei Kan, Masahiro Nagao, Katharina Otani, Kostadin Karagiozov, Koji Fukudome, Toshihiro Ishibashi, Hiroyuki Takao, Masahiro Motosuke and 2 more

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Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Soichiro FujimuraDepartment of Mechanical Engineering, Tokyo University of Science, Tokyo, Japan.
Yuma YamanakaDivision of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan.
Issei KanDepartment of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan.
Masahiro NagaoGraduate School of Mechanical Engineering, Tokyo University of Science, Tokyo, Japan.
Katharina OtaniDepartment of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan.
Kostadin KaragiozovDepartment of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan.
Koji FukudomeDepartment of Mechanical Engineering, Kanazawa Institute of Technology, Ishikawa, Japan.
Toshihiro IshibashiDepartment of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan.
Hiroyuki TakaoDivision of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan.
Masahiro MotosukeDepartment of Mechanical Engineering, Tokyo University of Science, Tokyo, Japan.
Makoto YamamotoDepartment of Mechanical Engineering, Tokyo University of Science, Tokyo, Japan.
Yuichi MurayamaDepartment of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectiveThe 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).

methodsUsing 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.

resultsThe 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.

conclusionAlthough 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.

Indexed as

Angiography, Digital SubtractionImaging, Three-DimensionalIntracranial AneurysmPhantoms, ImagingBlood Flow VelocityCerebrovascular CirculationContrast MediaHumansContrast MediaAneurysmfour-dimensional digital subtraction angiographyhemodynamics

Identifiers

PMID38968064
PMCPMC11492053

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.