Chapter title |
3D Near Infrared and Ultrasound Imaging of Peripheral Blood Vessels for Real-Time Localization and Needle Guidance
|
---|---|
Chapter number | 45 |
Book title |
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016
|
Published in |
Lecture notes in computer science, October 2016
|
DOI | 10.1007/978-3-319-46726-9_45 |
Pubmed ID | |
Book ISBNs |
978-3-31-946725-2, 978-3-31-946726-9
|
Authors |
Alvin I. Chen, Max L. Balter, Timothy J. Maguire, Martin L. Yarmush |
Editors |
Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells |
Abstract |
This paper presents a portable imaging device designed to detect peripheral blood vessels for cannula insertion that are otherwise difficult to visualize beneath the skin. The device combines near infrared stereo vision, ultrasound, and real-time image analysis to map the 3D structure of subcutaneous vessels. We show that the device can identify adult forearm vessels and be used to guide manual insertions in tissue phantoms with increased first-stick accuracy compared to unassisted cannulation. We also demonstrate that the system may be coupled with a robotic manipulator to perform automated, image-guided venipuncture. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 33% |
Student > Master | 8 | 19% |
Researcher | 7 | 17% |
Student > Bachelor | 2 | 5% |
Student > Postgraduate | 2 | 5% |
Other | 2 | 5% |
Unknown | 7 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 19 | 45% |
Computer Science | 4 | 10% |
Nursing and Health Professions | 2 | 5% |
Mathematics | 2 | 5% |
Medicine and Dentistry | 2 | 5% |
Other | 5 | 12% |
Unknown | 8 | 19% |