Evidence map›Paper›PMID 37591677›Full record

ArticleHealthcare informatics research2023

Simulation Method for the Physical Deformation of a Three-Dimensional Soft Body in Augmented Reality-Based External Ventricular Drainage.

Kyoyeong Koo, Taeyong Park, Heeryeol Jeong, Seungwoo Khang, Chin Su Koh, Minkyung Park, Myung Ji Kim, Hyun Ho Jung, Juneseuk Shin, Kyung Won Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Healthcare informatics research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Kyoyeong KooSchool of Computer Science and Engineering, Soongsil University, Seoul, Korea.
Taeyong ParkDepartment of Biomedical Informatics, Hallym University Medical Center, Anyang, Korea.
Heeryeol JeongSchool of Computer Science and Engineering, Soongsil University, Seoul, Korea.
Seungwoo KhangSchool of Computer Science and Engineering, Soongsil University, Seoul, Korea.
Chin Su KohDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
Minkyung ParkDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
Myung Ji KimDepartment of Neurosurgery, Korea University Ansan Hospital, Ansan, Korea.
Hyun Ho JungDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea.
Juneseuk ShinDepartment of Systems Management Engineering, Sungkyunkwan University, Suwon, Korea.
Kyung Won KimDepartment of Radiology & Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jeongjin LeeSchool of Computer Science and Engineering, Soongsil University, Seoul, Korea.
Soongsil University · KRYonsei University · KRHallym University Medical Center · KRKorea University · KRSungkyunkwan University · KRUlsan College · KR

Funding

Institute of Information and Communications Technology Planning and Evaluation 2018-0-00209Ministry of Science and ICTNational Research Foundation of Korea 2020R1A2C1102727National Research Foundation of Korea 2020R1A6A3A01099507
6 · The paper itself

Abstract

objectivesIntraoperative navigation reduces the risk of major complications and increases the likelihood of optimal surgical outcomes. This paper presents an augmented reality (AR)-based simulation technique for ventriculostomy that visualizes brain deformations caused by the movements of a surgical instrument in a three-dimensional brain model. This is achieved by utilizing a position-based dynamics (PBD) physical deformation method on a preoperative brain image.

methodsAn infrared camera-based AR surgical environment aligns the real-world space with a virtual space and tracks the surgical instruments. For a realistic representation and reduced simulation computation load, a hybrid geometric model is employed, which combines a high-resolution mesh model and a multiresolution tetrahedron model. Collision handling is executed when a collision between the brain and surgical instrument is detected. Constraints are used to preserve the properties of the soft body and ensure stable deformation.

resultsThe experiment was conducted once in a phantom environment and once in an actual surgical environment. The tasks of inserting the surgical instrument into the ventricle using only the navigation information presented through the smart glasses and verifying the drainage of cerebrospinal fluid were evaluated. These tasks were successfully completed, as indicated by the drainage, and the deformation simulation speed averaged 18.78 fps.

conclusionsThis experiment confirmed that the AR-based method for external ventricular drain surgery was beneficial to clinicians.

Indexed as

Augmented RealityBiomechanical PhenomenaComputer SimulationSurgical Navigation SystemsVentriculostomy

Identifiers

PMID37591677
PMCPMC10440195
OpenAlexW4385623018

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LicenceCC BY-NC
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Registered trials

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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.