title: An Automated Mouse Tail Vascular Access System by Vision and Pressure Feedback.
abstract: 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.
authors.affiliation: University of California, Los Angeles, CA 90095 USA.
authors.forename: Yen-Chi
authors.initials: YC
authors.lastname: Chang
authors.affiliation: CRUMP Institute, University of California, Los Angeles, CA 90095 USA.
authors.forename: Brittany
authors.initials: B
authors.lastname: Berry-Pusey
authors.affiliation: University of California, Los Angeles, CA 90095 USA; He is now with the Vanderbilt University, Nashville, TN 37235 USA.
authors.forename: Rashid
authors.initials: R
authors.lastname: Yasin
authors.affiliation: CRUMP Institute, University of California, Los Angeles, CA 90095 USA.
authors.forename: Nam
authors.initials: N
authors.lastname: Vu
authors.affiliation: CRUMP Institute, University of California, Los Angeles, CA 90095 USA.
authors.forename: Brandon
authors.initials: B
authors.lastname: Maraglia
authors.affiliation: CRUMP Institute, University of California, Los Angeles, CA 90095 USA.
authors.forename: Arion X
authors.initials: AX
authors.lastname: Chatziioannou
authors.affiliation: University of California, Los Angeles, CA 90095 USA.
authors.forename: Tsu-Chin
authors.initials: TC
authors.lastname: Tsao
keywords: Image processing; injection robot; marine vein detection; needle guidance