Evidence map›Paper›PMID 25607724›Full record

ArticleJournal of biomedical optics2015

Image overlay solution based on threshold detection for a compact near infrared fluorescence goggle system.

Shengkui Gao, Suman B Mondal, Nan Zhu, RongGuang Liang, Samuel Achilefu, Viktor Gruev

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shengkui GaoWashington University in St. Louis, Computer Science and Engineering Department, St. Louis, Missouri 63130, United States.
Suman B MondalWashington University in St. Louis, Department of Radiology, St. Louis, Missouri 63130, United States.
Nan ZhuUniversity of Arizona, College of Optical Sciences, Tucson, Arizona 85721, United States.
RongGuang LiangUniversity of Arizona, College of Optical Sciences, Tucson, Arizona 85721, United States.
Samuel AchilefuWashington University in St. Louis, Department of Radiology, St. Louis, Missouri 63130, United States.
Viktor GruevWashington University in St. Louis, Computer Science and Engineering Department, St. Louis, Missouri 63130, United States.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU-MDACC Inter-Institutional Molecular Imaging CenterP50CA094056 · NCI · WASHINGTON UNIVERSITY · PI KOPAN, RAPHAEL · 2002 to 2016
$26.3M
21ST CENTURY IMAGING SCIENCES: GRADUATE STUDENT TRAININGT32EB014855 · NIBIB · WASHINGTON UNIVERSITY · PI JOSEPH P CULVER, JOSEPH A O'SULLIVAN · 2012 to 2026
$3.1M
DEVELOPMENT OF GOGGLE SYSTEM FOR FLUORESCENCE IMAGE-GUIDED SURGERYR01CA171651 · NCI · WASHINGTON UNIVERSITY · PI ACHILEFU, SAMUEL · 2013 to 2017
$2.8M
NCI NIH HHS NIH R01 CA171651NCI NIH HHS P30 CA091842NCI NIH HHS P50 CA094056NCI NIH HHS R01 CA171651NIBIB NIH HHS R01 EB00811NIBIB NIH HHS T32 EB014855
6 · The paper itself

Abstract

Near infrared (NIR) fluorescence imaging has shown great potential for various clinical procedures, including intraoperative image guidance. However, existing NIR fluorescence imaging systems either have a large footprint or are handheld, which limits their usage in intraoperative applications. We present a compact NIR fluorescence imaging system (NFIS) with an image overlay solution based on threshold detection, which can be easily integrated with a goggle display system for intraoperative guidance. The proposed NFIS achieves compactness, light weight, hands-free operation, high-precision superimposition, and a real-time frame rate. In addition, the miniature and ultra-lightweight light-emitting diode tracking pod is easy to incorporate with NIR fluorescence imaging. Based on experimental evaluation, the proposed NFIS solution has a lower detection limit of 25 nM of indocyanine green at 27 fps and realizes a highly precise image overlay of NIR and visible images of mice in vivo. The overlay error is limited within a 2-mm scale at a 65-cm working distance, which is highly reliable for clinical study and surgical use.

Indexed as

AlgorithmsAnimalsEquipment DesignEyeglassesImage Processing, Computer-AssistedIndocyanine GreenMice, Inbred BALB COptical ImagingSemiconductorsSpectroscopy, Near-InfraredSurgery, Computer-AssistedIndocyanine Green

Identifiers

PMID25607724
PMCPMC4300342

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.