Supporting Novice Prehospital Transcranial Ultrasound Scanning for Brain Haemorrhage

Leila Helen Eadie, Luke Andrew Regan, Ashish MacAden, Philip Michael John Wilson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traumatic brain injury is a significant problem due to difficulties in early diagnosis in the field. Computed tomography is the gold standard for detecting brain haemorrhage, but scanners are bulky and expensive. A cheap, portable scanner such as transcranial ultrasound (TCUS) could allow early triage and intervention. Transmitting images to remote experts for diagnosis means TCUS could be used by any minimally trained person in the field. We propose a virtual 3-dimensional model of the head which shows which areas of the brain have been imaged already, where the probe currently is, and where still needs to be covered in order to generate a complete scan. Using sensors to measure the position and rotation of the TCUS transducer, we can link this to the 3D model of the head and visually display which areas have been imaged. The images can be analysed and composited to form a personalised 3D scan with maximal coverage of the brain, which can be transmitted for diagnostic review, reducin g data loss compared with streaming ongoing images. Initial testing of the software has been performed in healthy volunteers and further testing is planned in patients with brain haemorrhage.
Original languageEnglish
Title of host publicationProceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
Subtitle of host publicationBIOIMAGING
EditorsJames Gilbert, Haim Azhari, Hesham Ali, Carla Quintão, Jan Sliwa, Carolina Ruiz, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages118-123
Number of pages6
Volume2
ISBN (Print)978-989-758-170-0
Publication statusPublished - 2016
Event9th International Joint Conference on Biomedical Engineering Systems and Technologies: BIOIMAGING - Rome, Italy
Duration: 21 Feb 201623 Feb 2016

Conference

Conference9th International Joint Conference on Biomedical Engineering Systems and Technologies
Abbreviated titleBIOSTEC2016
CountryItaly
CityRome
Period21/02/1623/02/16

Fingerprint

Intracranial Hemorrhages
Head
Triage
Brain
Transducers
Early Diagnosis
Healthy Volunteers
Software
Tomography
Traumatic Brain Injury

Keywords

  • ultrasound
  • prehospital
  • remote
  • support
  • transcranial
  • 3-dimensional
  • haemorrhage

Cite this

Eadie, L. H., Regan, L. A., MacAden, A., & Wilson, P. M. J. (2016). Supporting Novice Prehospital Transcranial Ultrasound Scanning for Brain Haemorrhage. In J. Gilbert, H. Azhari, H. Ali, C. Quintão, J. Sliwa, C. Ruiz, A. Fred, ... H. Gamboa (Eds.), Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies: BIOIMAGING (Vol. 2, pp. 118-123). SciTePress.

Supporting Novice Prehospital Transcranial Ultrasound Scanning for Brain Haemorrhage. / Eadie, Leila Helen; Regan, Luke Andrew; MacAden, Ashish; Wilson, Philip Michael John.

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies: BIOIMAGING. ed. / James Gilbert; Haim Azhari; Hesham Ali; Carla Quintão; Jan Sliwa; Carolina Ruiz; Ana Fred; Hugo Gamboa. Vol. 2 SciTePress, 2016. p. 118-123.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Eadie, LH, Regan, LA, MacAden, A & Wilson, PMJ 2016, Supporting Novice Prehospital Transcranial Ultrasound Scanning for Brain Haemorrhage. in J Gilbert, H Azhari, H Ali, C Quintão, J Sliwa, C Ruiz, A Fred & H Gamboa (eds), Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies: BIOIMAGING. vol. 2, SciTePress, pp. 118-123, 9th International Joint Conference on Biomedical Engineering Systems and Technologies, Rome, Italy, 21/02/16.
Eadie LH, Regan LA, MacAden A, Wilson PMJ. Supporting Novice Prehospital Transcranial Ultrasound Scanning for Brain Haemorrhage. In Gilbert J, Azhari H, Ali H, Quintão C, Sliwa J, Ruiz C, Fred A, Gamboa H, editors, Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies: BIOIMAGING. Vol. 2. SciTePress. 2016. p. 118-123
Eadie, Leila Helen ; Regan, Luke Andrew ; MacAden, Ashish ; Wilson, Philip Michael John. / Supporting Novice Prehospital Transcranial Ultrasound Scanning for Brain Haemorrhage. Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies: BIOIMAGING. editor / James Gilbert ; Haim Azhari ; Hesham Ali ; Carla Quintão ; Jan Sliwa ; Carolina Ruiz ; Ana Fred ; Hugo Gamboa. Vol. 2 SciTePress, 2016. pp. 118-123
@inproceedings{c617ab8ae5ba4d46b4c8a0c9137af9ab,
title = "Supporting Novice Prehospital Transcranial Ultrasound Scanning for Brain Haemorrhage",
abstract = "Traumatic brain injury is a significant problem due to difficulties in early diagnosis in the field. Computed tomography is the gold standard for detecting brain haemorrhage, but scanners are bulky and expensive. A cheap, portable scanner such as transcranial ultrasound (TCUS) could allow early triage and intervention. Transmitting images to remote experts for diagnosis means TCUS could be used by any minimally trained person in the field. We propose a virtual 3-dimensional model of the head which shows which areas of the brain have been imaged already, where the probe currently is, and where still needs to be covered in order to generate a complete scan. Using sensors to measure the position and rotation of the TCUS transducer, we can link this to the 3D model of the head and visually display which areas have been imaged. The images can be analysed and composited to form a personalised 3D scan with maximal coverage of the brain, which can be transmitted for diagnostic review, reducin g data loss compared with streaming ongoing images. Initial testing of the software has been performed in healthy volunteers and further testing is planned in patients with brain haemorrhage.",
keywords = "ultrasound, prehospital, remote, support, transcranial, 3-dimensional, haemorrhage",
author = "Eadie, {Leila Helen} and Regan, {Luke Andrew} and Ashish MacAden and Wilson, {Philip Michael John}",
year = "2016",
language = "English",
isbn = "978-989-758-170-0",
volume = "2",
pages = "118--123",
editor = "James Gilbert and Haim Azhari and Hesham Ali and Carla Quint{\~a}o and Sliwa, {Jan } and Carolina Ruiz and Ana Fred and Hugo Gamboa",
booktitle = "Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies",
publisher = "SciTePress",

}

TY - GEN

T1 - Supporting Novice Prehospital Transcranial Ultrasound Scanning for Brain Haemorrhage

AU - Eadie, Leila Helen

AU - Regan, Luke Andrew

AU - MacAden, Ashish

AU - Wilson, Philip Michael John

PY - 2016

Y1 - 2016

N2 - Traumatic brain injury is a significant problem due to difficulties in early diagnosis in the field. Computed tomography is the gold standard for detecting brain haemorrhage, but scanners are bulky and expensive. A cheap, portable scanner such as transcranial ultrasound (TCUS) could allow early triage and intervention. Transmitting images to remote experts for diagnosis means TCUS could be used by any minimally trained person in the field. We propose a virtual 3-dimensional model of the head which shows which areas of the brain have been imaged already, where the probe currently is, and where still needs to be covered in order to generate a complete scan. Using sensors to measure the position and rotation of the TCUS transducer, we can link this to the 3D model of the head and visually display which areas have been imaged. The images can be analysed and composited to form a personalised 3D scan with maximal coverage of the brain, which can be transmitted for diagnostic review, reducin g data loss compared with streaming ongoing images. Initial testing of the software has been performed in healthy volunteers and further testing is planned in patients with brain haemorrhage.

AB - Traumatic brain injury is a significant problem due to difficulties in early diagnosis in the field. Computed tomography is the gold standard for detecting brain haemorrhage, but scanners are bulky and expensive. A cheap, portable scanner such as transcranial ultrasound (TCUS) could allow early triage and intervention. Transmitting images to remote experts for diagnosis means TCUS could be used by any minimally trained person in the field. We propose a virtual 3-dimensional model of the head which shows which areas of the brain have been imaged already, where the probe currently is, and where still needs to be covered in order to generate a complete scan. Using sensors to measure the position and rotation of the TCUS transducer, we can link this to the 3D model of the head and visually display which areas have been imaged. The images can be analysed and composited to form a personalised 3D scan with maximal coverage of the brain, which can be transmitted for diagnostic review, reducin g data loss compared with streaming ongoing images. Initial testing of the software has been performed in healthy volunteers and further testing is planned in patients with brain haemorrhage.

KW - ultrasound

KW - prehospital

KW - remote

KW - support

KW - transcranial

KW - 3-dimensional

KW - haemorrhage

UR - http://www.bioimaging.biostec.org/

M3 - Conference contribution

SN - 978-989-758-170-0

VL - 2

SP - 118

EP - 123

BT - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

A2 - Gilbert, James

A2 - Azhari, Haim

A2 - Ali, Hesham

A2 - Quintão, Carla

A2 - Sliwa, Jan

A2 - Ruiz, Carolina

A2 - Fred, Ana

A2 - Gamboa, Hugo

PB - SciTePress

ER -