ArticleIEEE transactions on medical imaging2016
Real-Time Visualization of Tissue Surface Biochemical Features Derived From Fluorescence Lifetime Measurements.
Article in IEEE transactions on medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Intraoperative Mapping of Parathyroid Glands Using Fluorescence Lifetime Imaging.The Journal of surgical research · 2021Trial
- Label-free fluorescence lifetime imaging for rapid discrimination of high-grade prostate cancer in fresh biopsy cores: a feasibility study.Journal of biomedical optics · 2026Article
- Phasor theory of fluorescence lifetime imaging utilized on a maximum range of frequencies for prostate tissue analysis.Biomedical optics express · 2025Article
- Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery.IEEE transactions on bio-medical engineering · 2025Article
- Dual excitation spectral autofluorescence lifetime and reflectance imaging for fast macroscopic characterization of tissues.Biomedical optics express · 2024Article
- Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements.Journal of imaging · 2024Article
- FLIm-Based in Vivo Classification of Residual Cancer in the Surgical Cavity During Transoral Robotic Surgery.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Anatomy-Specific Classification Model Using Label-Free FLIm to Aid Intraoperative Surgical Guidance of Head and Neck Cancer.IEEE transactions on bio-medical engineering · 2023Article
- In vivo characterization of the human glioblastoma infiltrative edge with label-free intraoperative fluorescence lifetime imaging.Biomedical optics express · 2023Article
- Multimodal fluorescence lifetime imaging and optical coherence tomography for longitudinal monitoring of tissue-engineered cartilage maturation in a preclinical implantation model.Journal of biomedical optics · 2023Article
- Non-destructive, continuous monitoring of biochemical, mechanical, and structural maturation in engineered tissue.Scientific reports · 2022Article
- Intraoperative delineation of p16+ oropharyngeal carcinoma of unknown primary origin with fluorescence lifetime imaging: Preliminary report.Head & neck · 2022Article
- Fast Analysis of Time-Domain Fluorescence Lifetime Imaging via Extreme Learning Machine.Sensors (Basel, Switzerland) · 2022Article
- Real-time molecular imaging of near-surface tissue using Raman spectroscopy.Light, science & applications · 2022Article
- Mesoscopic fluorescence lifetime imaging: Fundamental principles, clinical applications and future directions.Journal of biophotonics · 2021Review
- Intraoperative Margin Assessment in Oral and Oropharyngeal Cancer Using Label-Free Fluorescence Lifetime Imaging and Machine Learning.IEEE transactions on bio-medical engineering · 2021Article
- FLImBrush: dynamic visualization of intraoperative free-hand fiber-based fluorescence lifetime imaging.Biomedical optics express · 2020Article
- Real-time multispectral fluorescence lifetime imaging using Single Photon Avalanche Diode arrays.Scientific reports · 2020Article
- Development of a Robust Autofluorescence Lifetime Sensing Method for Use in an Endoscopic Application.Sensors (Basel, Switzerland) · 2020Article
- Real-time diagnosis and visualization of tumor margins in excised breast specimens using fluorescence lifetime imaging and machine learning.Biomedical optics express · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Fiber based fluorescence lifetime imaging has shown great potential for intraoperative diagnosis and guidance of surgical procedures. Here we describe a novel method addressing a significant challenge for the practical implementation of this technique, i.e., the real-time display of the quantified biochemical or functional tissue properties superimposed on the interrogated area. Specifically, an aiming beam (450 nm) generated by a continuous-wave laser beam was merged with the pulsed fluorescence excitation light in a single delivery/collection fiber and then imaged and segmented using a color-based algorithm. We demonstrate that this approach enables continuous delineation of the interrogated location and dynamic augmentation of the acquired frames with the corresponding fluorescence decay parameters. The method was evaluated on a fluorescence phantom and fresh tissue samples. Current results demonstrate that 34 frames per second can be achieved for augmenting videos of 640 × 512 pixels resolution. Also we show that the spatial resolution of the fluorescence lifetime map depends on the tissue optical properties, the scanning speed, and the frame rate. The dice similarity coefficient between the fluorescence phantom and the reconstructed maps was estimated to be as high as 93%. The reported method could become a valuable tool for augmenting the surgeon's field of view with diagnostic information derived from the analysis of fluorescence lifetime data in real-time using handheld, automated, or endoscopic scanning systems. Current method provides also a means for maintaining the tissue light exposure within safety limits. This study provides a framework for using an aiming beam with other point spectroscopy applications.
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