Wireless Accelerometer for Neonatal MRI Motion Artifact Correction

Paley, Martyn N.J.; Reynolds, Steven; Ismail, Nurul Huda; Herigstad, Mari; Jarvis, Deborah; Griffiths, Paul D.

doi:10.3390/technologies5010006

Technologies

2017

DOI: 10.3390/technologies5010006

|View full text |Cite

Wireless Accelerometer for Neonatal MRI Motion Artifact Correction

Martyn N.J. Paley

Steven Reynolds

Nurul Huda Ismail

et al.

Abstract: Abstract:A wireless accelerometer has been used in conjunction with a dedicated 3T neonatal MRI system installed on a Neonatal Intensive Care Unit to measure in-plane rotation which is a common problem with neonatal MRI. Rotational data has been acquired in real-time from phantoms simultaneously with MR images which shows that the wireless accelerometer can be used in close proximity to the MR system. No artifacts were observed on the MR images from the accelerometer or from the MR system on the accelerometer … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

2020

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 13 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The third paper by Paley et al [3] used a wireless accelerometer in conjunction with a dedicated 3T neonatal MRI system installed on a Neonatal Intensive Care Unit to measure in-plane rotation, which is a common problem with neonatal MRI. Rotational data were acquired in real-time from phantoms simultaneously with MR images, which showed that the wireless accelerometer could be used in close proximity to the MR system.…”

mentioning

confidence: 99%

Special Issue on “Medical Imaging & Image Processing II”

Zhang

Dong

2018

Technologies

View full text Add to dashboard Cite

Medical Imaging is becoming an essential component in various fields of bio-medical research and clinical practice: Neuroscientists detect regional metabolic brain activity from positron emission tomography (PET), functional magnetic resonance imaging (MRI), and magnetic resonance spectrum imaging (MRSI) scans; biologists study cells and generate 3D confocal microscopy data sets; virologists generate 3D reconstructions of viruses from micrographs; and radiologists identify and quantify tumors from MRI and computed tomography (CT) scans.On the other hand, Image Processing includes the analysis, enhancement, and display of biomedical images. Image reconstruction and modeling techniques allow instant processing of 2D signals to create 3D images. Image processing and analysis can be used to determine the diameter, volume, and vasculature of a tumor or organ, flow parameters of blood or other fluids, and microscopic changes that have yet to raise any otherwise discernible flags. Image classification techniques help to detect subjects suffered from particular diseases and to detect disease-related regions.This Special Issue of Technologies comprises 4 selected papers about medical imaging and image processing. The first paper by Rashid et al.[1] investigated telemedicine, which is defined as the use of Information and Communication Technology (ICT) for clinical health care from a distance. The exchange of radiographic images and electronic patient health information/records (ePHI/R) for diagnostic purposes had the risk of confidentiality, ownership identity, and authenticity. In their paper, a data-hiding technique for ePHI/R was proposed. The color information in the cover image was used for key generation, and stego-images were produced with an ideal case. As a result, the whole stego-system was perfectly secure. This method included the features of watermarking and steganography techniques. Their method was applied to radiographic images. For the radiographic images, their method resembled watermarking, which was an ePHI/R data system. Experiments showed promising results for the application of their method to radiographic images in ePHI/R for both transmission and storage purposes.The second paper by Boudjelal et al.[2] stated that positron emission tomography (PET) is an imaging technique that generates 3D detail of physiological processes at the cellular level. This technique requires a radioactive tracer, which decays and releases a positron that collides with an electron; consequently, annihilation photons are emitted, which can be measured. The purpose of PET is to use the measurement of photons to reconstruct the distribution of radioisotopes in the body. Currently, PET is undergoing a revamp, with advancements in data measurement instruments and the computing methods used to create the images. These computer methods are required to solve the inverse problem of "image reconstruction from projection". In this paper, the authors proposed a novel kernel-based regularization technique for maximum-likelihood expe...

show abstract

mentioning

confidence: 99%

Special Issue on “Medical Imaging & Image Processing II”

Zhang

Dong

2018

Technologies

View full text Add to dashboard Cite

show abstract

Non-pharmacological strategies to obtain usable magnetic resonance images in non-sedated infants: Systematic review and meta-analysis

Torres

Tumey²,

Dean

et al. 2020

International Journal of Nursing Studies

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Wireless Accelerometer for Neonatal MRI Motion Artifact Correction

Cited by 2 publications

References 13 publications

Special Issue on “Medical Imaging & Image Processing II”

Special Issue on “Medical Imaging & Image Processing II”

Non-pharmacological strategies to obtain usable magnetic resonance images in non-sedated infants: Systematic review and meta-analysis

Contact Info

Product

Resources

About