A dual-camera hyperspectral laparoscopic imaging system

高光谱成像 计算机视觉 计算机科学 人工智能 对偶(语法数字) 遥感 地质学 文学类 艺术
作者
Kelden T. Pruitt,Armand Rathgeb,Jeffrey Gahan,Brett A. Johnson,Douglas W. Strand,Baowei Fei
标识
DOI:10.1117/12.3005893
摘要

Minimally invasive surgery (MIS) has expanded broadly in the field of abdominal and pelvic surgery. However, there are still prevalent issues surrounding intracorporeal surgery, such as iatrogenic injury, anastomotic leakage, or the presence of positive tumor margins after resection. Current approaches to address these issues and advance laparoscopic imaging techniques often involve fluorescence imaging agents, such as indocyanine green (ICG), to improve visualization, but these have drawbacks. Hyperspectral imaging (HSI) is an emerging optical imaging modality that takes advantage of spectral characteristics of different tissues. Various applications include tissue classification and digital pathology. In this study, we developed a dual-camera system for high-speed hyperspectral imaging. This includes the development of a custom application interface and corresponding hardware setup. Characterization of the system was performed, including spectral accuracy and spatial resolution, showing little sacrifice in speed for the approximate doubling of the covered spectral range, with our system acquiring 29 spectral images from 460 to 850nm. Reference color tiles with various reflectance profiles were imaged and a RMSE of 3.56 ± 1.36% was achieved. Sub-millimeter resolution was shown at 7cm working distance for both hyperspectral cameras. Finally, we image ex vivo tissues, including porcine stomach, liver, intestine, and kidney with our system and use a high-resolution, radiometrically calibrated spectrometer for comparison and evaluation of spectral fidelity. The dual-camera hyperspectral laparoscopic imaging system can have immediate applications in various surgeries.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
肥膘肘子发布了新的文献求助10
1秒前
2秒前
Na完成签到,获得积分10
3秒前
langya完成签到,获得积分10
4秒前
斯文从筠完成签到,获得积分20
4秒前
完美世界应助动听的雪碧采纳,获得10
5秒前
JamesPei应助自信的冬日采纳,获得10
5秒前
甜橘完成签到,获得积分10
5秒前
zhongxianghua完成签到,获得积分20
6秒前
6秒前
7秒前
wu关注了科研通微信公众号
8秒前
新乌托邦完成签到 ,获得积分10
9秒前
9秒前
tw完成签到,获得积分10
10秒前
无花果应助deng采纳,获得10
10秒前
10秒前
香蕉觅云应助sjr采纳,获得10
10秒前
年轻的馒头完成签到,获得积分10
11秒前
12秒前
打打应助闲之野鹤采纳,获得10
13秒前
迅速随阴完成签到 ,获得积分10
13秒前
思源应助安静的幼旋采纳,获得10
13秒前
肥膘肘子完成签到,获得积分10
14秒前
务实涔雨发布了新的文献求助10
15秒前
自信的谷蕊完成签到,获得积分20
16秒前
16秒前
16秒前
思源应助myy采纳,获得10
17秒前
科研通AI6.2应助TeeteePor采纳,获得10
17秒前
何1发布了新的文献求助10
17秒前
17秒前
JamesPei应助wangjuan采纳,获得10
18秒前
pudding发布了新的文献求助30
18秒前
无极微光应助小懒采纳,获得20
18秒前
19秒前
19秒前
LYZ发布了新的文献求助10
20秒前
唠叨的安荷完成签到 ,获得积分10
21秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6011205
求助须知:如何正确求助?哪些是违规求助? 7559747
关于积分的说明 16136440
捐赠科研通 5157970
什么是DOI,文献DOI怎么找? 2762598
邀请新用户注册赠送积分活动 1741303
关于科研通互助平台的介绍 1633583