Benchmarking of fluorescence cameras through the use of a composite phantom

Gorpas, Dimitris; Koch, Maximilian; Anastasopoulou, Maria; Klemm, Uwe; Ntziachristos, Vasilis

doi:10.1117/1.jbo.22.1.016009

Cited by 28 publications

(67 citation statements)

References 23 publications

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“…System 1 (Fig. 1c) is a hybrid system developed by our group [21,23] that combines near infrared (NIR) fluorescence, detected with an electron-multiplying charge-coupled device (EMCCD, DV897DCS-BV, Andor Technology, Belfast, Northern Ireland), and color imaging, performed using a charge-coupled device (CCD; pixelfly qe, PCO AG, Kelheim, Germany). Excitation at 750 nm is achieved using a 300-mW continuous wave (CW) laser diode (BWF2-750-0, B&W Tek, Newark, DE, USA), while field illumination using a 250-W halogen lamp (KL-2500 LCD, Schott AG, Mainz, Germany).…”

Section: B Imaging Systemsmentioning

confidence: 99%

“…System 2 ( Fig. 1d) is an NIR fluorescence molecular imaging system based on an EMCCD (Luca R, Andor Technology) with lower quantum efficiency than System 1 (70% for System 1 and 40% for System 2 at 800 nm) [21]. Another difference is the band-pass filter (D850/40 m, Chroma Technology, Rockingham, VT, USA) employed, which is narrower than the one of System 1 (ET810/90, Chroma Technology) and away from the QDot emission peak (792 nm).…”

Section: B Imaging Systemsmentioning

confidence: 99%

“…2) and tabulate all measurements in a report file for quick assessment of system performance and benchmarking. This process was based on the speeded-up robust feature (SURF) algorithm, followed by thresholding the distance between features identified in the acquired data and specially designed templates, as previously discussed [21]. The segmentation process is graphically summarized in Fig.…”

Section: Data Processingmentioning

confidence: 99%

“…In the case of hybrid systems with fluorescence and color cameras, the two modalities can be registered using the corresponding geometrical transformations as described in our previous work [21]. Fig 2e depicts this phantom functionality for fc-System 1, either by projecting the fluorescence image onto the color one (left) or vice versa (right).…”

Section: Data Processingmentioning

confidence: 99%

“…The phantom enables quantification of system sensitivity as a function of optical properties and depth, optical resolution, diffused fluorescence resolution, magnification, excitation light leakage, parasitic illumination, and color image uniformity [10]. We have used this phantom to compare the performance of two fluorescence imaging systems under various acquisition parameters [21], demonstrating a first attempt to offer a comprehensive characterization of fluorescence imaging systems. However, this initial composite phantom came with limitations: lack of dynamic range assessment and correction of fluorescence imagie uniformity.…”

mentioning

confidence: 99%

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Multi-Parametric Standardization of Fluorescence Imaging Systems Based on a Composite Phantom

Gorpas

Koch

Anastasopoulou

et al. 2020

IEEE Trans. Biomed. Eng.

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Objective: Fluorescence molecular imaging (FMI) has emerged as a promising tool for surgical guidance in oncology, with one of the few remaining challenges being the ability to offer quality control and data referencing. This study investigates the use of a novel composite phantom to correct and benchmark FMI systems. Methods: Metrics including sensitivity, dependence of sensitivity on optical properties and depth, optical and diffused resolution, dynamic range, and ambient and excitation light leakage are combined into a "system benchmarking score" derived from a unique composite rigid phantom. Results: We show that systems developed for targeted fluorescence imaging can achieve scores of up to 70%, while clinically available systems optimized for indocyanine green are limited to 50%, mostly due to greater leakage of ambient and excitation illumination and lower resolution. The image uniformity can also be approximated and employed for image flat-fielding, an important milestone toward data referencing. In addition, we demonstrate composite phantom use in assessing the performance of a surgical microscope and of a raster-scan imaging system. Conclulsion: Our results suggest that the new phantom design has the potential to improve the quality of FMI studies. Significance: Standardization of FMI is a necessary process for establishing good imaging practices in clinical environments and for enabling high-fidelity imaging across patients and multi-center imaging studies.

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Section: B Imaging Systemsmentioning

confidence: 99%

Section: B Imaging Systemsmentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Multi-Parametric Standardization of Fluorescence Imaging Systems Based on a Composite Phantom

Gorpas

Koch

Anastasopoulou

et al. 2020

IEEE Trans. Biomed. Eng.

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Head‐Mounted Devices for Noninvasive Cancer Imaging and Intraoperative Image‐Guided Surgery

Mondal

Tsen

Achilefu

2020

Adv Funct Materials

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Medical imaging methods have improved the detection of human diseases with increasing accuracy. The ability to probe molecular processes noninvasively or using tissue‐selective imaging agents and nanoparticles has made it possible to localize, identify the stage, and determine the functional status of pathological lesions. The challenges in detecting cancer particularly have driven the development of diverse imaging technologies. While earlier cancer imaging methods enabled preoperative evaluation, the need to track and visualize cancer location in the operating room itself has ushered in new systems capable of providing concurrent images of cancer during surgery. Intraoperative use of conventional clinical imaging modalities is often limited by bulky hardware design, prohibitive cost, lack of real‐time image display, and compatibility with conventional hardware interfaces. For these reasons, focus on fluorescence‐guided surgery (FGS) devices has increased to take advantage of real‐time, high‐resolution, functional imaging with hardware that has become increasingly amenable to miniaturization. In particular, the adaptation of wearable devices for FGS presents hands‐free capability for optimal navigation during cancer surgery. The evolution of head‐mounted devices in the operating room and adaptation for FGS is highlighted. Key challenges to wide clinical adoption of this imaging platform are identified and potential future directions are suggested.

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Development of a microstructured tissue phantom with adaptable optical properties for use with microscopes and fluorescence lifetime imaging systems

et al. 2022

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Objectives: For the development and validation of diagnostic procedures based on microscopic methods, knowledge about the imaging depth and achievable resolution in tissue is crucial. This poses the challenge to develop a microscopic artificial phantom focused on the microscopic instead of the macroscopic optical tissue characteristics. Methods: As existing artificial tissue phantoms designed for image forming systems are primarily targeted at wide field applications, they are unsuited for reaching the formulated objective. Therefore, a microscopy-and microendoscopy-suited artificial tissue phantom was developed and characterized. It is based on a microstructured glass surface coated with fluorescent beads at known depths covered by a scattering agent with modifiable optical properties. The phantom was examined with different kinds of microscopy systems in order to characterize its quality and stability and to demonstrate its usefulness for instrument comparison, for example, regarding structural as well as fluorescence lifetime analysis. Results: The analysis of the manufactured microstructured glass surfaces showed high regularity in their physical dimensions in accordance with the specifications. Measurements of the optical parameters of the scattering medium were consistent with simulations. The fluorescent beads coating proved to be stable for a respectable period of time (about a week). The developed artificial tissue phantom was successfully used to detect differences in image quality between a research microscope and an endoscopy based system. Plausible causes for the observed differences could be derived based on the well known microstructure of the phantom. Conclusions: The artificial tissue phantom is well suited for the intended use with microscopic and microendoscopic systems. Due to its configurable design, it can be adapted to a wide range of applications. It is especially targeted at the characterization and calibration of clinical imaging systems that often lack extensive positioning capabilities such as an intrinsic z-stage.

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Benchmarking of fluorescence cameras through the use of a composite phantom

Cited by 28 publications

References 23 publications

Multi-Parametric Standardization of Fluorescence Imaging Systems Based on a Composite Phantom

Multi-Parametric Standardization of Fluorescence Imaging Systems Based on a Composite Phantom

Head‐Mounted Devices for Noninvasive Cancer Imaging and Intraoperative Image‐Guided Surgery

Development of a microstructured tissue phantom with adaptable optical properties for use with microscopes and fluorescence lifetime imaging systems

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