A combined 2-D ultrasound and NIR imaging system

2002 ◽  
Author(s):  
Puyun Guo ◽  
Daqing Piao ◽  
Quing Zhu ◽  
J. Fikiet
Keyword(s):  
Imaging System ◽  
Nir Imaging

scholarly journals Performance Evaluation of Dorsal Vein Network of Hand Imaging Using Relative Total Variation-Based Regularization for Smoothing Technique in a Miniaturized Vein Imaging System: A Pilot Study

2021 ◽  
Vol 18 (4) ◽  
pp. 1548 ◽  
Author(s):  
Kyuseok Kim ◽  
Hyun-Woo Jeong ◽  
Youngjin Lee
Keyword(s):  
Image Quality ◽  
Total Variation ◽  
Near Infrared ◽  
Imaging System ◽  
Histogram Equalization ◽  
Evaluation Performance ◽  
Visual Evaluation ◽  
Évaluation Performance ◽  
Nir Imaging ◽  
Relative Total Variation

Vein puncture is commonly used for blood sampling, and accurately locating the blood vessel is an important challenge in the field of diagnostic tests. Imaging systems based on near-infrared (NIR) light are widely used for accurate human vein puncture. In particular, segmentation of a region of interest using the obtained NIR image is an important field, and research for improving the image quality by removing noise and enhancing the image contrast is being widely conducted. In this paper, we propose an effective model in which the relative total variation (RTV) regularization algorithm and contrast-limited adaptive histogram equalization (CLAHE) are combined, whereby some major edge information can be better preserved. In our previous study, we developed a miniaturized NIR imaging system using light with a wavelength of 720–1100 nm. We evaluated the usefulness of the proposed algorithm by applying it to images acquired by the developed NIR imaging system. Compared with the conventional algorithm, when the proposed method was applied to the NIR image, the visual evaluation performance and quantitative evaluation performance were enhanced. In particular, when the proposed algorithm was applied, the coefficient of variation was improved by a factor of 15.77 compared with the basic image. The main advantages of our algorithm are the high noise reduction efficiency, which is beneficial for reducing the amount of undesirable information, and better contrast. In conclusion, the applicability and usefulness of the algorithm combining the RTV approach and CLAHE for NIR images were demonstrated, and the proposed model can achieve a high image quality.

scholarly journals Near-infrared imaging of brain tumors using the Tumor Paint BLZ-100 to achieve near-complete resection of brain tumors

2014 ◽  
Vol 36 (2) ◽  
pp. E1 ◽  
Author(s):  
Pramod V. Butte ◽  
Adam Mamelak ◽  
Julia Parrish-Novak ◽  
Doniel Drazin ◽  
Faris Shweikeh ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging System ◽  
Signal To Noise Ratio ◽  
Ccd Camera ◽  
Complete Resection ◽  
Human Glioma ◽  
Nir Imaging ◽  
The Brain

Object The intraoperative clear delineation between brain tumor and normal tissue in real time is required to ensure near-complete resection without damaging the nearby eloquent brain. Tumor Paint BLZ-100, a tumor ligand chlorotoxin (CTX) conjugated to indocyanine green (ICG), has shown potential to be a targeted contrast agent. There are many infrared imaging systems in use, but they are not optimized to the low concentration and amount of ICG. The authors present a novel proof-of-concept near-infrared (NIR) imaging system using a standard charge-coupled device (CCD) camera for visualizing low levels of ICG attached to the tumors. This system is small, inexpensive, and sensitive. The imaging system uses a narrow-band laser at 785 nm and a notch filter in front of the sensor at the band. The camera is a 2-CCD camera, which uses identical CCDs for both visible and NIR light. Methods The NIR system is tested with serial dilution of BLZ-100 from 1 μM to 50 pM in 5% Intralipid solution while the excitation energy is varied from 5 to 40 mW/cm2. The analog gain of the CCD was changed from 0, 6, and 12 dB to determine the signal-to-noise ratio. In addition to the Intralipid solution, BLZ-100 was injected 48 hours before euthanizing the mice that were implanted with the human glioma cell line. The brain was removed and imaged using the NIR imaging system. Results The authors' results show that the NIR imaging system using a standard CCD is able to visualize the ICG down to 50 nM of concentration with a high signal-to-noise ratio. The preliminary experiment on human glioma implanted in mouse brains demonstrated that BLZ-100 has a high affinity for glioma compared with normal brain tissue. Additionally, the results show that NIR excitation is able to penetrate deeply and has a potential to visualize metastatic lesions that are separate from the main tumor. Conclusions The authors have seen that BLZ-100 has a very high affinity toward human gliomas. They also describe a small, cost-effective, and sensitive NIR system for visualizing brain tumors tagged using BLZ-100. The authors hope that the use of BLZ-100 along with NIR imaging will be useful to delineate the brain tumors in real time and assist surgeons in near-complete tumor removal to increase survival and reduce neurological deficits.

scholarly journals Revealing Hidden Features in Multilayered Artworks by Means of an Epi-Illumination Photoacoustic Imaging System

2021 ◽  
Vol 7 (9) ◽  
pp. 183
Author(s):  
George J. Tserevelakis ◽  
Antonina Chaban ◽  
Evgenia Klironomou ◽  
Kristalia Melessanaki ◽  
Jana Striova ◽  
...  
Keyword(s):  
Near Infrared ◽  
Imaging System ◽  
Photoacoustic Imaging ◽  
Structural Features ◽  
Thickness Measurement ◽  
Imaging Method ◽  
Nir Imaging ◽  
Wide Range ◽  
Detection Of Signals ◽  
Cultural Heritage Objects

Photoacoustic imaging is a novel, rapidly expanding technique, which has recently found several applications in artwork diagnostics, including the uncovering of hidden layers in paintings and multilayered documents, as well as the thickness measurement of optically turbid paint layers with high accuracy. However, thus far, all the presented photoacoustic-based imaging technologies dedicated to such measurements have been strictly limited to thin objects due to the detection of signals in transmission geometry. Unavoidably, this issue restricts seriously the applicability of the imaging method, hindering investigations over a wide range of cultural heritage objects with diverse geometrical and structural features. Here, we present an epi-illumination photoacoustic apparatus for diagnosis in heritage science, which integrates laser excitation and respective signal detection on one side, aiming to provide universal information in objects of arbitrary thickness and shape. To evaluate the capabilities of the developed system, we imaged thickly painted mock-ups, in an attempt to reveal hidden graphite layers covered by various optically turbid paints, and compared the measurements with standard near-infrared (NIR) imaging. The obtained results prove that photoacoustic signals reveal underlying sketches with up to 8 times improved contrast, thus paving the way for more relevant applications in the field.

An Application for the Quantitative Analysis of Pharmaceutical Tablets Using a Rapid Switching System Between a Near-Infrared Spectrometer and a Portable Near-Infrared Imaging System Equipped with Fiber Optics

2018 ◽  
Vol 72 (4) ◽  
pp. 551-561 ◽  
Author(s):  
Kodai Murayama ◽  
Daitaro Ishikawa ◽  
Takuma Genkawa ◽  
Yukihiro Ozaki
Keyword(s):  
Ascorbic Acid ◽  
Near Infrared ◽  
Imaging System ◽  
Spot Size ◽  
Switching System ◽  
Pharmaceutical Tablets ◽  
Nir Imaging ◽  
Imaging Results ◽  
Rapid Switching ◽  
Mean Square Errors

We present a rapid switching system between a newly developed near-infrared (NIR) spectrometer and its imaging system to select the spot size of a diffuse reflectance (DR) probe. In a previous study, we developed a portable NIR imaging system, known as D-NIRs, which has significant advantages over other systems. Its high speed, high spectral resolution, and portability are particularly useful in the process of monitoring pharmaceutical tablets. However, the spectral accuracies relating to the changes in the formulation of the pharmaceutical tablets have not been fully discussed. Therefore, we improved the rapid optical switching system and present a new model of D-NIRs (ND-NIRs) here. This system can automatically switch the optical paths of the DR and NIR imaging probes, greatly contributing to the simultaneous measurement of both the imaging and spot. The NIR spectra of the model tablets, including 0–10% ascorbic acid, were measured and simultaneous NIR images of the tablets were obtained. The predicted results using spot sizes for the DR probe of 1 and 5 mm diameter, resulted in concentrations of R2 = 0.79 and 0.94, with root mean square errors (RMSE) of 1.78 and 0.89, respectively. For tablets with a high concentration of ascorbic acid, the NIR imaging results showed inhomogeneity in concentration. However, the predicted values for the low concentration samples appeared higher than the known concentration of the tablets, although the homogeneity of the concentration was confirmed. In addition, the optimal spot size using NIR imaging data was estimated to be 5–7 mm. The results obtained in this study show that the spot size of the fiber probe, attached to a spectrometer, is important in developing a highly reliable model to determine the component concentration of a tablet.

High-speed monitoring of the crystallinity change in poly(lactic acid) during photodegradation by using a newly developed wide area NIR imaging system (Compovision)

2014 ◽  
Vol 407 (2) ◽  
pp. 397-403 ◽  
Author(s):  
Daitaro Ishikawa ◽  
Daiki Furukawa ◽  
Tseng Tsai Wei ◽  
Kummetha Raghunatha Reddy ◽  
Asako Motomura ◽  
...  
Keyword(s):  
Lactic Acid ◽  
High Speed ◽  
Imaging System ◽  
Wide Area ◽  
Poly Lactic Acid ◽  
Nir Imaging

High-Speed Scanning for the Quantitative Evaluation of Glycogen Concentration in Bioethanol Feedstock Synechocystis sp. PCC6803 Using a Near-Infrared Hyperspectral Imaging System with a New Near-Infrared Spectral Camera

2016 ◽  
Vol 71 (3) ◽  
pp. 463-471 ◽  
Author(s):  
Mika Ishigaki ◽  
Akihito Nakanishi ◽  
Tomohisa Hasunuma ◽  
Akihiko Kondo ◽  
Tetsu Morishima ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
High Speed ◽  
Near Infrared ◽  
Imaging System ◽  
Quantitative Estimation ◽  
Product Evaluation ◽  
Least Squares Regression ◽  
Glycogen Concentration ◽  
Nir Imaging ◽  
Synechocystis Sp

In the present study, the high-speed quantitative evaluation of glycogen concentration accumulated in bioethanol feedstock Synechocystis sp. PCC6803 was performed using a near-infrared (NIR) imaging system with a hyperspectral NIR spectral camera named Compovision. The NIR imaging system has a feature for high-speed and wide area monitoring and the two-dimensional scanning speed is almost 100 times faster than the general NIR imaging systems for the same pixel size. For the quantitative analysis of glycogen concentration, partial least squares regression (PLSR) and moving window PLSR (MWPLSR) were performed with the information of glycogen concentration measured by high performance liquid chromatography (HPLC) and the calibration curves for the concentration within the Synechocystis sp. PCC6803 cell were constructed. The results had high accuracy for the quantitative estimation of glycogen concentration as the best squared correlation coefficient R2 was bigger than 0.99 and a root mean square error (RMSE) was less than 2.9%. The present results proved not only the potential for the applicability of NIR spectroscopy to the high-speed quantitative evaluation of glycogen concentration in the bioethanol feedstock but also the expansivity of the NIR imaging instrument to in-line or on-line product evaluation on a factory production line of bioethanol in the future.

scholarly journals The Advance of CRISPR-Cas9-Based and NIR/CRISPR-Cas9-Based Imaging System

2021 ◽  
Vol 9 ◽  
Author(s):  
Huanhuan Qiao ◽  
Jieting Wu ◽  
Xiaodong Zhang ◽  
Jian Luo ◽  
Hao Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Gene Editing ◽  
Imaging System ◽  
Development Trend ◽  
Imaging Systems ◽  
Advanced Imaging ◽  
Nir Imaging ◽  
Targeting Ability ◽  
The Development Trend

The study of different genes, chromosomes and the spatiotemporal relationship between them is of great significance in the field of biomedicine. CRISPR-Cas9 has become the most widely used gene editing tool due to its excellent targeting ability. In recent years, a series of advanced imaging technologies based on Cas9 have been reported, providing fast and convenient tools for studying the sites location of genome, RNA, and chromatin. At the same time, a variety of CRISPR-Cas9-based imaging systems have been developed, which are widely used in real-time multi-site imaging in vivo. In this review, we summarized the component and mechanism of CRISPR-Cas9 system, overviewed the NIR imaging and the application of NIR fluorophores in the delivery of CRISPR-Cas9, and highlighted advances of the CRISPR-Cas9-based imaging system. In addition, we also discussed the challenges and potential solutions of CRISPR-Cas9-based imaging methods, and looked forward to the development trend of the field.

scholarly journals Identification of Abnormal Biliary Anatomy Utilizing Real-Time Near-Infrared Cholangiography: A Report of Two Cases

2017 ◽  
Vol 2017 ◽  
pp. 1-4
Author(s):  
Joseph Bozzay ◽  
Diego Vicente ◽  
Elliot M. Jessie ◽  
Carlos J. Rodriguez
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Near Infrared ◽  
Imaging System ◽  
Biliary Tree ◽  
Biliary Duct ◽  
Biliary Anatomy ◽  
Nir Imaging ◽  
Intraoperative Detection ◽  
Fluorescence Imaging System

Biliary duct anomalies are commonly encountered during laparoscopic cholecystectomy. Advancements in the field of surgery allow for enhanced intraoperative detection of these abnormalities. Fluorophore injection and near-infrared (NIR) imaging can provide real-time intraoperative anatomic feedback without intraoperative delays and ionizing radiation. This report details two cases where the PINPOINT Endoscopic Fluorescence Imaging System (NOVADAQ, Ontario, Canada) was used to identify anomalies of the biliary tree and guide operative decision-making.

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