PMID- 34725577
OWN - NLM
STAT- MEDLINE
DCOM- 20211210
LR  - 20211214
IS  - 2168-2372 (Electronic)
IS  - 2168-2372 (Linking)
VI  - 9
DP  - 2021
TI  - FPGA-Based Two-Dimensional Matched Filter Design for Vein Imaging Systems.
PG  - 1800510
LID - 10.1109/JTEHM.2021.3119886 [doi]
LID - 1800510
AB  - Venipuncture is a common medical procedure. The use of augmented reality-based 
      assistive devices can improve the first puncture success rate in patients with 
      poor vascular filling. In order to improve the image rendering quality and speed 
      of auxiliary equipment, this study develop a two-dimensional matched filtering 
      algorithm on a Field Programmable Gate Array (FPGA) in a near-infrared vein 
      imaging system, which use parallel processing to offer real-time response and is 
      designed as a small handheld portable device. A customized dorsal hand vein image 
      library with 200 images captured from 120 participants is used to analyze the 
      effects of convolution kernel parameters and exposure time on vascular imaging 
      with different depths, and the correlation model between these parameters and 
      vascular depth are constructed. We use the Tenengrad, variance, Laplace 
      smoothness and standard deviation as evaluation indicators, and compare our 
      algorithm with three other related studies. Experimental results show that the 
      rendering quality of our proposed algorithm is significantly higher than other 
      algorithms. In addition, the rendering speed of our algorithm can reach 66 fps, 
      which is twice faster than the current fastest algorithm.
FAU - Xiang, Wenxin
AU  - Xiang W
AD  - College of Medicine and Biological Information EngineeringNortheastern University 
      Shenyang 110819 China.
FAU - Li, Deliang
AU  - Li D
AD  - College of Medicine and Biological Information EngineeringNortheastern University 
      Shenyang 110819 China.
FAU - Sun, Jiabing
AU  - Sun J
AD  - College of Medicine and Biological Information EngineeringNortheastern University 
      Shenyang 110819 China.
FAU - Liu, Jiawei
AU  - Liu J
AD  - College of Medicine and Biological Information EngineeringNortheastern University 
      Shenyang 110819 China.
FAU - Zhou, Guowei
AU  - Zhou G
AD  - College of Medicine and Biological Information EngineeringNortheastern University 
      Shenyang 110819 China.
FAU - Gao, Yuan
AU  - Gao Y
AD  - Nursing SchoolChina Medical University, Shenbei Shenyang 110122 China.
FAU - Cui, Xiaoyu
AU  - Cui X
AD  - College of Medicine and Biological Information EngineeringNortheastern University 
      Shenyang 110819 China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20211014
PL  - United States
TA  - IEEE J Transl Eng Health Med
JT  - IEEE journal of translational engineering in health and medicine
JID - 101623153
SB  - IM
MH  - *Algorithms
MH  - Diagnostic Imaging
MH  - *Hand
MH  - Humans
MH  - Veins/diagnostic imaging
PMC - PMC8555873
OTO - NOTNLM
OT  - Field programmable gate array (FPGA)
OT  - infrared image
OT  - matched filter
OT  - vein extraction
OT  - vein imaging
EDAT- 2021/11/03 06:00
MHDA- 2021/12/15 06:00
PMCR- 2021/10/14
CRDT- 2021/11/02 06:18
PHST- 2021/05/26 00:00 [received]
PHST- 2021/08/31 00:00 [revised]
PHST- 2021/10/05 00:00 [accepted]
PHST- 2021/11/02 06:18 [entrez]
PHST- 2021/11/03 06:00 [pubmed]
PHST- 2021/12/15 06:00 [medline]
PHST- 2021/10/14 00:00 [pmc-release]
AID - 1800510 [pii]
AID - 10.1109/JTEHM.2021.3119886 [doi]
PST - epublish
SO  - IEEE J Transl Eng Health Med. 2021 Oct 14;9:1800510. doi: 
      10.1109/JTEHM.2021.3119886. eCollection 2021.