Novel polyp detection technology for colonoscopy: 3D optical scanner

Abstract Background and study aims Fifty-eight percent of American adults aged 50 to 75 undergo colonoscopies. Multiple factors result in missed lesions, at a rate of approximately 20 %, potentially subjecting patients to colorectal cancer. We report on use of a miniaturized optical scanner and accompanying processing software capable of detecting, measuring, and locating polyps with sub-millimeter accuracy, all in real time. Materials and methods A prototype 3 D optical scanner was developed that fits within the dimensions of a standard endoscope. After calibration, the system was evaluated in an ex-vivo porcine colon model, using silicon-made polyps. Results The average distance between two adjacent points in the 3 D point cloud was 94 µm. The results demonstrate high-accuracy measurements and 3 D models while operating at short distances. The scanner detected 6 mm × 3 mm polyps in every trial and identified polyp location with 95-µm accuracy. Registration errors were less than 0.8 % between point clouds based on physical features. Conclusion We demonstrated that a novel 3 D optical scanning system improves the performance of colonoscopy procedures by using a combination of 3 D and 2 D optical scanning and fast, accurate software for extracting data and generating models. Further studies of the system are warranted.

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Improvements of an optical scanning system for indoor localization based on defuzzification methods.

IEEE Sensors Journal ◽

10.1109/jsen.2021.3068643 ◽

2021 ◽

pp. 1-1

Author(s):

Jesus E. Miranda-Vega ◽

Arnoldo Diaz-Ramirez ◽

Oleg Sergiyenko ◽

Wendy Garcia-Gonzalez ◽

Wendy Flores-Fuentes ◽

...

Keyword(s):

Indoor Localization ◽

Scanning System ◽

Optical Scanning ◽

Optical Scanning System

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Optical Scanning System For Laser Velocimeter

10.1117/12.954922 ◽

1977 ◽

Cited By ~ 3

Author(s):

David B. Rhodes

Keyword(s):

Scanning System ◽

Optical Scanning ◽

Optical Scanning System

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Automated entry of nosocomial infection surveillance data: use of an optical scanning system

Journal of Hospital Infection ◽

10.1016/s0195-6701(99)90099-3 ◽

1999 ◽

Vol 43 ◽

pp. S275-S278 ◽

Cited By ~ 4

Author(s):

I.M. Thompson

Keyword(s):

Nosocomial Infection ◽

Data Use ◽

Surveillance Data ◽

Scanning System ◽

Optical Scanning ◽

Infection Surveillance ◽

Optical Scanning System

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Real-Time Back Surface Landmark Determination Using a Time-of-Flight Camera

Sensors ◽

10.3390/s21196425 ◽

2021 ◽

Vol 21 (19) ◽

pp. 6425

Author(s):

Daniel Ledwoń ◽

Marta Danch-Wierzchowska ◽

Marcin Bugdol ◽

Karol Bibrowicz ◽

Tomasz Szurmik ◽

...

Keyword(s):

Real Time ◽

Average Distance ◽

Time Of Flight ◽

Point Clouds ◽

Diagnostic Methods ◽

Detection Methods ◽

Back Surface ◽

Anatomical Landmarks ◽

Real Time Analysis ◽

Similar Accuracy

Postural disorders, their prevention, and therapies are still growing modern problems. The currently used diagnostic methods are questionable due to the exposure to side effects (radiological methods) as well as being time-consuming and subjective (manual methods). Although the computer-aided diagnosis of posture disorders is well developed, there is still the need to improve existing solutions, search for new measurement methods, and create new algorithms for data processing. Based on point clouds from a Time-of-Flight camera, the presented method allows a non-contact, real-time detection of anatomical landmarks on the subject’s back and, thus, an objective determination of trunk surface metrics. Based on a comparison of the obtained results with the evaluation of three independent experts, the accuracy of the obtained results was confirmed. The average distance between the expert indications and method results for all landmarks was 27.73 mm. A direct comparison showed that the compared differences were statically significantly different; however, the effect was negligible. Compared with other automatic anatomical landmark detection methods, ours has a similar accuracy with the possibility of real-time analysis. The advantages of the presented method are non-invasiveness, non-contact, and the possibility of continuous observation, also during exercise. The proposed solution is another step in the general trend of objectivization in physiotherapeutic diagnostics.

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A New Kinect-Based Scanning System and its Application

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.764-765.1375 ◽

2015 ◽

Vol 764-765 ◽

pp. 1375-1379 ◽

Cited By ~ 1

Author(s):

Cheng Tiao Hsieh

Keyword(s):

Point Cloud ◽

Depth Map ◽

Bilateral Filter ◽

Point Clouds ◽

Digital Fabrication ◽

Surface Model ◽

Scanning System ◽

3D Registration ◽

Noise Point

This paper aims at presenting a simple approach utilizing a Kinect-based scanner to create models available for 3D printing or other digital manufacturing machines. The outputs of Kinect-based scanners are a depth map and they usually need complicated computational processes to prepare them ready for a digital fabrication. The necessary processes include noise filtering, point cloud alignment and surface reconstruction. Each process may require several functions and algorithms to accomplish these specific tasks. For instance, the Iterative Closest Point (ICP) is frequently used in a 3D registration and the bilateral filter is often used in a noise point filtering process. This paper attempts to develop a simple Kinect-based scanner and its specific modeling approach without involving the above complicated processes.The developed scanner consists of an ASUS’s Xtion Pro and rotation table. A set of organized point cloud can be generated by the scanner. Those organized point clouds can be aligned precisely by a simple transformation matrix instead of the ICP. The surface quality of raw point clouds captured by Kinect are usually rough. For this drawback, this paper introduces a solution to obtain a smooth surface model. Inaddition, those processes have been efficiently developed by free open libraries, VTK, Point Cloud Library and OpenNI.

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Multiscale three-dimensional surface reconstruction and surface roughness of porcine left anterior descending coronary arteries

Royal Society Open Science ◽

10.1098/rsos.190915 ◽

2019 ◽

Vol 6 (9) ◽

pp. 190915 ◽

Cited By ~ 4

Author(s):

Hanna E. Burton ◽

Rachael Cullinan ◽

Kyle Jiang ◽

Daniel M. Espino

Keyword(s):

Surface Roughness ◽

Coronary Arteries ◽

Medical Devices ◽

Ex Vivo ◽

Three Dimensional ◽

Force Microscopy ◽

Optical Scanning ◽

Atomic Force ◽

Reconstructed Surface ◽

Dimensional Surface

The aim of this study was to investigate the multiscale surface roughness characteristics of coronary arteries, to aid in the development of novel biomaterials and bioinspired medical devices. Porcine left anterior descending coronary arteries were dissected ex vivo , and specimens were chemically fixed and dehydrated for testing. Surface roughness was calculated from three-dimensional reconstructed surface images obtained by optical, scanning electron and atomic force microscopy, ranging in magnification from 10× to 5500×. Circumferential surface roughness decreased with magnification, and microscopy type was found to influence surface roughness values. Longitudinal surface roughness was not affected by magnification or microscopy types within the parameters of this study. This study found that coronary arteries exhibit multiscale characteristics. It also highlights the importance of ensuring consistent microscopy parameters to provide comparable surface roughness values.

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Polyp detection algorithm can detect small polyps: Ex vivo reading test compared with endoscopists

Digestive Endoscopy ◽

10.1111/den.13670 ◽

2020 ◽

Vol 33 (1) ◽

pp. 162-169 ◽

Cited By ~ 2

Author(s):

Zhe Guo ◽

Daiki Nemoto ◽

Xin Zhu ◽

Qin Li ◽

Masato Aizawa ◽

...

Keyword(s):

Ex Vivo ◽

Detection Algorithm ◽

Reading Test ◽

Polyp Detection

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3-dimensional wide scan angle optical scanning using code-multiplexed optical scanner

The 15th Annual Meeting of the IEEE Lasers and Electro-Optics Society ◽

10.1109/leos.2002.1159439 ◽

2003 ◽

Cited By ~ 1

Author(s):

M.A. Arain ◽

N.A. Riza

Keyword(s):

3 Dimensional ◽

Optical Scanning ◽

Optical Scanner

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Optical Scanning in the Lateral Eyes of the Copepod Copilia

Perception ◽

10.1068/p010247 ◽

1972 ◽

Vol 1 (3) ◽

pp. 247-261 ◽

Cited By ~ 6

Author(s):

A C Downing

Keyword(s):

Image Plane ◽

Optical Measurements ◽

Scanning System ◽

Intact Female ◽

Stripe Pattern ◽

Positive Evidence ◽

Optical Scanning ◽

Receptor Structure ◽

Behavioural Evidence ◽

Optical Scanning System

The lateral eyes of the female Copilia are exceptionally large for a creature of its size but have very few receptors. These receptors appear to scan the image plane of the anterior lenses of the eye, but until now there has been no behavioural evidence linking their movement positively with the functioning of the eyes, though there is some (disputed) evidence that it is merely a side-effect of peristalsis. On channel-capacity grounds we might not have expected optical scanning to occur in biological systems, so any positive evidence for scanning, in the engineering sense, is particularly interesting. Optical measurements of the position of the image plane, in live intact female Copilia quadrata, generally corroborate Exner's (1891) finding that an image is in focus at the plane of the distal ends of the receptors, though the position of best focus seems slightly in front of a second lens, behind which the receptor structure lies. An alternative optical schema of Wolken and Florida (1969) is disproved. The position of focus satisfies minimal optical conditions for scanning. Movements of a coloured stripe pattern, used as a test object for the optical measurements, elicited the putatively scanning movements of the receptor structure, suggesting strongly that these really are an intrinsic part of normal visual functioning, not an epiphenomenon. It was also discovered that intermittent swimming movements of the limbs tend to be preceded by these photoreceptor movements. Both findings support the hypothesis that Copilia's eye is an optical scanning system.

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