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 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.

The near infrared imaging system for the real-time protection of the JET ITER-like wall

2017 ◽  
Vol T170 ◽  
pp. 014027 ◽  
Author(s):  
A Huber ◽  
D Kinna ◽  
V Huber ◽  
G Arnoux ◽  
I Balboa ◽  
...  
Keyword(s):  
Real Time ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging System ◽  
Near Infrared Imaging ◽  
The Real ◽  
Infrared Imaging System

Performance Evaluation Method of the Active Near-Infrared Imaging System Based on Equivalent Lighting

2013 ◽  
Vol 33 (3) ◽  
pp. 0311002
Author(s):  
宋俊儒 Song Junru ◽  
王霞 Wang Xia ◽  
金伟其 Jin Weiqi ◽  
卢玉华 Lu Yuhua ◽  
刘荐轩 Liu Jianxuan ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Near Infrared ◽  
Evaluation Method ◽  
Infrared Imaging ◽  
Imaging System ◽  
Near Infrared Imaging ◽  
Infrared Imaging System ◽  
Performance Evaluation Method

High sensitive near infrared imaging system based on single element detectors

2016 ◽  
Vol 45 (s1) ◽  
pp. 104001
Author(s):  
霍 娟 Huo Juan ◽  
李明飞 Li Mingfei ◽  
杨 然 Yang Ran ◽  
赵连洁 Zhao Lianjie ◽  
张安宁 Zhang Anning ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging System ◽  
Single Element ◽  
Near Infrared Imaging ◽  
Infrared Imaging System

scholarly journals Minimally invasive method for determining the effective lymphatic pumping pressure in rats using near-infrared imaging

2014 ◽  
Vol 306 (5) ◽  
pp. R281-R290 ◽  
Author(s):  
Tyler S. Nelson ◽  
Ryan E. Akin ◽  
Michael J. Weiler ◽  
Timothy Kassis ◽  
Jeffrey A. Kornuta ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging System ◽  
Lymphatic Vessels ◽  
In Vivo Studies ◽  
No Donor ◽  
Pressure Cuff ◽  
Research Platform

The ability to quantify collecting vessel function in a minimally invasive fashion is crucial to the study of lymphatic physiology and the role of lymphatic pump function in disease progression. Therefore, we developed a highly sensitive, minimally invasive research platform for quantifying the pumping capacity of collecting lymphatic vessels in the rodent tail and forelimb. To achieve this, we have integrated a near-infrared lymphatic imaging system with a feedback-controlled pressure cuff to modulate lymph flow. After occluding lymphatic flow by inflating a pressure cuff on the limb or tail, we gradually deflate the cuff while imaging flow restoration proximal to the cuff. Using prescribed pressure applications and automated image processing of fluorescence intensity levels in the vessels, we were able to noninvasively quantify the effective pumping pressure (Peff, pressure at which flow is restored after occlusion) and vessel emptying rate (rate of fluorescence clearance during flow occlusion) of lymphatics in the rat. To demonstrate the sensitivity of this system to changes in lymphatic function, a nitric oxide (NO) donor cream, glyceryl trinitrate ointment (GTNO), was applied to the tails. GTNO decreased Peff of the vessels by nearly 50% and the average emptying rate by more than 60%. We also demonstrate the suitability of this approach for acquiring measurements on the rat forelimb. Thus, this novel research platform provides the first minimally invasive measurements of Peff and emptying rate in rodents. This experimental platform holds strong potential for future in vivo studies that seek to evaluate changes in lymphatic health and disease.

scholarly journals Detection of early neoplasia in Barrett’s esophagus using lectin-based near-infrared imaging: an ex vivo study on human tissue

Endoscopy ◽  
2018 ◽  
Vol 50 (06) ◽  
pp. 618-625 ◽  
Author(s):  
André Neves ◽  
Massimiliano Di Pietro ◽  
Maria O’Donovan ◽  
Dale Waterhouse ◽  
Sarah Bohndiek ◽  
...  
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Ex Vivo ◽  
Sampling Error ◽  
Nir Light ◽  
Nir Imaging ◽  
Nir Fluorescence ◽  
Nir Dye

Abstract Background and study aims Endoscopic surveillance for Barrett’s esophagus (BE) is limited by long procedure times and sampling error. Near-infrared (NIR) fluorescence imaging minimizes tissue autofluorescence and optical scattering. We assessed the feasibility of a topically applied NIR dye-labeled lectin for the detection of early neoplasia in BE in an ex vivo setting. Methods Consecutive patients undergoing endoscopic mucosal resection (EMR) for BE-related early neoplasia were recruited. Freshly collected EMR specimens were sprayed at the bedside with fluorescent lectin and then imaged. Punch biopsies were collected from each EMR under NIR light guidance. We compared the fluorescence intensity from dysplastic and nondysplastic areas within EMRs and from punch biopsies with different histological grades. Results 29 EMR specimens were included from 17 patients. A significantly lower fluorescence was found for dysplastic regions across whole EMR specimens (P < 0.001). We found a 41 % reduction in the fluorescence of dysplastic compared to nondysplastic punch biopsies (P < 0.001), with a sensitivity and specificity for dysplasia detection of 80 % and 82.9 %, respectively. Conclusion Lectin-based NIR imaging can differentiate dysplastic from nondysplastic Barrett’s mucosa ex vivo.

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