Vein Identification and Localization for Automated Intravenous Drug Delivery System

Prabhu, D. R.; Mohanavelu, K; Sundersheshu, B S; Padaki, V. C.

doi:10.1007/978-3-642-31686-9_32

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…In 2012, Prabhu et al [11] used two different approaches based on a NIR web-camera at a distance of 14 cm, and a DSLR (Digital Single Lens Reflex) camera with an external filter to block visible light, to aid intravenous delivery of haemostatic agent. The experiments focused on visualization of veins in the palm with the DSLR images having better performance.…”

Section: A Perception: Vein Visualization and Localizationmentioning

confidence: 99%

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Robotic Devices for Assisted and Autonomous Intravenous Access

Koskinopoulou

Cheng

Acemoğlu

et al. 2023

IEEE Trans. Med. Robot. Bionics

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Intravenous Access (IVA) is the most common invasive medical procedure. Globally, it is estimated that over one billion IVA devices (needles/catheters) are used annually. However, the overall failure rate in this procedure is unacceptably high, reaching values between 35 and 50%. This has driven a great deal of research and technological development over recent decades, including the integration of different levels of autonomy in IVA medical devices to greatly improve this process. This paper will review these recent technical developments, including methods and systems for vein imaging and localization, needle insertion, venipuncture detection, catheter placement, and complete robotic IVA platforms. Furthermore, this paper explores emerging technical aspects, current limitations, and new research directions that may enable wider clinical translation and better acceptance of robotic IVA technologies.

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Section: A Perception: Vein Visualization and Localizationmentioning

confidence: 99%

“…Different imaging and visualization systems are part of this group. For example, Prabhu et al demonstrated an IR guidance system for vein localization [11]. Kopac et al [52] presented usability experiments with the SonixGPS device by Ultrasonix Medical Corp., Canada.…”

Section: A Low Level Autonomymentioning

confidence: 99%

Robotic Devices for Assisted and Autonomous Intravenous Access

Koskinopoulou

Cheng

Acemoğlu

et al. 2023

IEEE Trans. Med. Robot. Bionics

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“…For nearly 80 percent of all those receiving in-and out-patient treatment, intravenous catheters need to be installed to draw or transfuse blood, deliver drugs, and infuse fluids [9,10]. In the study [11], the high failure rate of approximately 14 million cases on the first attempt out of 500 million annual insertions is concerning.…”

Section: Introductionmentioning

confidence: 99%

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Hamza,

Skidanov,

Podlipnov

2023

Sensors

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Blood vessel visualization technology allows nursing staff to transition from traditional palpation or touch to locate the subcutaneous blood vessels to visualized localization by providing a clear visual aid for performing various medical procedures accurately and efficiently involving blood vessels; this can further improve the first-attempt puncture success rate for nursing staff and reduce the pain of patients. We propose a novel technique for hyperspectral visualization of blood vessels in human skin. An experiment with six participants with different skin types, race, and nationality backgrounds is described. A mere separation of spectral layers for different skin types is shown to be insufficient. The use of three-wavelength indices in imaging has shown a significant improvement in the quality of results compared to using only two-wavelength indices. This improvement can be attributed to an increase in the contrast ratio, which can be as high as 25%. We propose and implement a technique for finding new index formulae based on an exhaustive search and a binary blood-vessel image obtained through an expert assessment. As a result of the search, a novel index formula was deduced, allowing high-contrast blood vessel images to be generated for any skin type.

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“…Therefore, compared to human arms, automated injection for a mouse tail vein shows significantly greater challenges. Improved upon the image processing algorithms for human arm vein [8]–[12], an optimal image processing algorithm for mouse tail veins has been proposed [13]. …”

Section: Introductionmentioning

confidence: 99%

An Automated Mouse Tail Vascular Access System by Vision and Pressure Feedback

Chang

Berry-Pusey

Yasin

et al. 2015

IEEE/ASME Trans. Mechatron.

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This paper develops an automated vascular access system (A-VAS) with novel vision-based vein and needle detection methods and real-time pressure feedback for murine drug delivery. Mouse tail vein injection is a routine but critical step for preclinical imaging applications. Due to the small vein diameter and external disturbances such as tail hair, pigmentation, and scales, identifying vein location is difficult and manual injections usually result in poor repeatability. To improve the injection accuracy, consistency, safety, and processing time, A-VAS was developed to overcome difficulties in vein detection noise rejection, robustness in needle tracking, and visual servoing integration with the mechatronics system.

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Vein Identification and Localization for Automated Intravenous Drug Delivery System

Cited by 3 publications

References 5 publications

Robotic Devices for Assisted and Autonomous Intravenous Access

Robotic Devices for Assisted and Autonomous Intravenous Access

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

An Automated Mouse Tail Vascular Access System by Vision and Pressure Feedback

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