A New Approach to the Phase-Based Video Motion Magnification for Measuring Microdisplacements

Popek, Mateusz; Iskander, D. Robert

doi:10.1109/tim.2019.2904074

Cited by 6 publications

(3 citation statements)

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“…Motions are magnified with regard to a chosen reference frame of the video. A detailed description of the VMM algorithm workflow can be found in our previous paper [ 24 ].…”

Section: Methodsmentioning

confidence: 99%

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Applying video motion magnification to reveal spontaneous tympanic membrane displacement as an indirect measure of intracranial pressure in patients with brain pathologies

et al. 2023

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Background The observation of tympanic membrane displacement (TMD) opens up the possibility of indirect intracranial pressure (ICP) estimation. In this study, we applied a phase-based video motion magnification (VMM) algorithm to reveal spontaneous pulse TMD waveforms (spTMD) and compare them with invasively measured ICP in patients with intracranial pathologies. Methods Nine adults (six traumatic brain injury and three aneurysmal subarachnoid haemorrhage; median age 44 (29–53) years admitted to the intensive care unit of Wroclaw Medical University between October 2021 and October 2022 with implanted ICP sensors were included in this retrospective study. Video recordings of the tympanic membrane were performed using a portable otoscope with a video camera and analysed by a custom-written VMM algorithm. ICP was monitored using intraparenchymal sensors and arterial blood pressure (ABP) was measured in the radial arterial lines. ICP, ABP, and spTMD videos were captured simultaneously. The pulse amplitudes of ICP (Amp_ICP), ABP (Amp_ABP) and spTMD (Amp_spTMD) were estimated using fast Fourier transform within the heart rate (HR)–related frequency range. Results Amp_spTMD was significantly correlated with mean ICP (rS = 0.73; p = 0.025) and with Amp_ICP (rS = 0.88; p = 0.002). Age was not a significant moderator of this association. There were no significant relationships between Amp_spTMD and either mean ABP, HR, or Amp_ABP. Conclusions The study suggests that Amp_spTMD increases with the increase in mean ICP and Amp_ICP. Estimation of Amp_spTMD using the VMM algorithm has the potential to allow for non-invasive detection of the risk of elevated ICP; however, further investigation in a larger group of patients is required.

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“…Motions are magnified with regard to a chosen reference frame of the video. A detailed description of the VMM algorithm workflow can be found in our previous paper [ 24 ].…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, a phase-based VMM technique [ 24 ] was employed to reveal spTMD without sealing the ear canal. This study aimed to explore whether the spTMD waveform related to the cardiac cycle can be used to non-invasively estimate the ICP pulse waveform in patients with intracranial pathologies.…”

Section: Introductionmentioning

confidence: 99%

Applying video motion magnification to reveal spontaneous tympanic membrane displacement as an indirect measure of intracranial pressure in patients with brain pathologies

et al. 2023

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“…Furthermore, Wolfgang et al (2020) compared various algorithms for image analysis. The research emerged, covering motion with video using ImageJ2 as a testing platform (Popek & Iskander, 2020).…”

Section: Problem Statementmentioning

confidence: 99%

An Exploration of a Virtual Connection for Researchers and Educators by Exploring Strategies Enterprise Information Systems Specialists Need to Integrate Novel Neural Network Algorithms Into an Imaging Application – A Design Science Study

Quindazzi,

Sambasivam

2022

InSITE Conference

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Aim/Purpose: The problem statement in the proposed study focuses on what strategies enterprise information systems specialists need to integrate novel algorithms into an imaging application that had not yet been identified. The aim is to demonstrate that a cross-convolutional neural network can be implemented within the home laboratory – an exploration of a virtual connection for re-search. An analysis of the works provides the basis for future extensibility of the software application for ImageJ2. Background: The study was guided by the research question: What strategies do enterprise information systems specialists need to integrate novel algorithms into an imaging application? This study demonstrates how to bring a lab-tested application online within a home laboratory to further build upon those findings. Methodology: A conceptual analysis was utilized for the artifact’s creation within the umbrella of design science to aid in the data interpretation segment. A conceptual framework was developed to determine relevant subject matter, such as useful software applications and technological enhancements to an image application. A research sample was not used in this study. Contribution: This research contributed to the body of knowledge by using a cross-convolutional neural network to explore novel algorithms as an enterprise information system specialist and set up the imaging application called Im-ageJ2 for development. The study’s setup is documented in a series of steps to demonstrate the how-to set up such a study. Findings: The findings were that it is possible to implement an existing work from within the home laboratory, steps of which are outlined for those to follow. Future work can be extended from the baseline workings. Furthermore, an analysis of the existing code was determined to see if the existing PyTorch code could be developed within Java to act as an extension to ImageJ2 later. By examining the programming code and the cross-convolutional functionality, a determination was made on the best Java mapping. A set of highlights of the processes used are included. Recommendations for Practitioners: The study intersects two differing realms: artificial intelligence and the enterprise information systems network. This study builds upon an AWS system and details the steps to implement an artificial intelligence system on the Amazon Web Service (AWS) platform. The researcher investigated existing soft-ware imaging Java applications and probed the areas of potential extensibility for implementing the artificial intelligence novel algorithms. Recommendations for Researchers: The concept of being able to bring online a turnkey set of computer hard-ware off-the-shelf within the home laboratory may be an unexplored avenue to some researchers. The recommendation is to encourage researchers to see past the constraints that a lack of hardware may bring about for computer science research. The researcher no longer has to be within an office laboratory on campus to access power computers. The doors are open to exploring a whole new world. It explores how to move through the various linkage is-sues with old libraries and new systems. Other avenues this research can enhance are extending the ImageJ libraries as a Java plugin with the novel algorithms such as the cross-convolutional network implemented on the AWS platform. Impact on Society: Expanding the accessibility to the researcher and practitioner field could be profound. No longer is the researcher or practitioner constrained to the office laboratory. This work shows how to move through the issues to invoke the software to produce and investigate existing software. The findings and guidance of this study are profound. Future Research: Future research should focus on implementing the mappings table as deter-mined in previous research. A future design could be pursued from the analysis and implementation of a Java neural network algorithm as a basic implementation. Java can chain elements to begin replicating the algorithm by Xue et al. (2019). The cross-convolutional element should have further analysis to ensure the full replication within Java. A cross-convolutional neural network (CCNN) Java algorithm could be implemented and trial run within the code; this would allow for the leverage of the heavy lifting of the program code to predict image motion. There seemed to be few approaches regarding predicting motion frames of a future image, and such predictions could be a giant leap for the health care world regarding microscopic and x-ray images.

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Vibration Measurement With Video Processing Based on Alternating Optimization of Frequency and Phase Shifts

Zhou

Zhang³

et al. 2021

IEEE Trans. Instrum. Meas.

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A New Approach to the Phase-Based Video Motion Magnification for Measuring Microdisplacements

Cited by 6 publications

References 38 publications

Applying video motion magnification to reveal spontaneous tympanic membrane displacement as an indirect measure of intracranial pressure in patients with brain pathologies

Applying video motion magnification to reveal spontaneous tympanic membrane displacement as an indirect measure of intracranial pressure in patients with brain pathologies

An Exploration of a Virtual Connection for Researchers and Educators by Exploring Strategies Enterprise Information Systems Specialists Need to Integrate Novel Neural Network Algorithms Into an Imaging Application – A Design Science Study

Vibration Measurement With Video Processing Based on Alternating Optimization of Frequency and Phase Shifts

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