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Article ; Online: Measuring the Water Content in Wood Using Step-Heating Thermography and Speckle Patterns-Preliminary Results.

Madruga, Francisco J / Sfarra, Stefano / Perilli, Stefano / Pivarčiová, Elena / López-Higuera, José M

2020 Volume 20, Issue 1

Abstract: The relationship between wood and its degree of humidity is one of the most important aspects of its use in construction and restoration. The wood presents a behavior similar to a sponge, therefore, moisture is related to its expansion and contraction. ... ...

Abstract	The relationship between wood and its degree of humidity is one of the most important aspects of its use in construction and restoration. The wood presents a behavior similar to a sponge, therefore, moisture is related to its expansion and contraction. The nondestructive evaluation (NDE) of the amount of moisture in wood materials allows to define, e.g., the restoration procedures of buildings or artworks. In this work, an integrated study of two non-contact techniques is presented. Infrared thermography (IRT) was able to retrieve thermal parameters of the wood related to the amount of water added to the samples, while the interference pattern generated by speckles was used to quantify the expansion and contraction of wood that can be related to the amount of water. In twenty-seven wooded samples, a known quantity of water was added in a controlled manner. By applying advanced image processing to thermograms and specklegrams, it was possible to determine fundamental values controlling both the absorption of water and the main thermophysical parameters that link the samples. On the one hand, results here shown should be considered preliminary because the experimental values obtained by IRT need to be optimized for low water contents introduced into the samples. On the other hand, speckle interferometry by applying an innovative procedure provided robust results for both high and low water contents.
Language	English
Publishing date	2020-01-06
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s20010316
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: An inertial sensor-based system designed to measure and prevent undesired camera rotation during endoscopic sinus surgery.

Viera-Artiles, Jaime / Valdiande, José J / Ospina, Javier / Costales, María / López-Higuera, José M

International forum of allergy & rhinology

2020 Volume 10, Issue 5, Page(s) 689–691

MeSH term(s)	Humans ; Intraoperative Complications/prevention & control ; Natural Orifice Endoscopic Surgery/instrumentation ; Natural Orifice Endoscopic Surgery/methods ; Paranasal Sinuses/surgery ; Rotation
Language	English
Publishing date	2020-02-27
Publishing country	United States
Document type	Letter ; Research Support, Non-U.S. Gov't
ZDB-ID	2625826-2
ISSN	2042-6984 ; 2042-6976
ISSN (online)	2042-6984
ISSN	2042-6976
DOI	10.1002/alr.22538
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Article ; Online: Automatic Ankle Angle Detection by Integrated RGB and Depth Camera System.

Díaz-San Martín, Guillermo / Reyes-González, Luis / Sainz-Ruiz, Sergio / Rodríguez-Cobo, Luis / López-Higuera, José M

Sensors (Basel, Switzerland)

2021 Volume 21, Issue 5

Abstract: Depth cameras are developing widely. One of their main virtues is that, based on their data and by applying machine learning algorithms and techniques, it is possible to perform body tracking and make an accurate three-dimensional representation of body ... ...

Abstract	Depth cameras are developing widely. One of their main virtues is that, based on their data and by applying machine learning algorithms and techniques, it is possible to perform body tracking and make an accurate three-dimensional representation of body movement. Specifically, this paper will use the Kinect v2 device, which incorporates a random forest algorithm for 25 joints detection in the human body. However, although Kinect v2 is a powerful tool, there are circumstances in which the device's design does not allow the extraction of such data or the accuracy of the data is low, as is usually the case with foot position. We propose a method of acquiring this data in circumstances where the Kinect v2 device does not recognize the body when only the lower limbs are visible, improving the ankle angle's precision employing projection lines. Using a region-based convolutional neural network (Mask RCNN) for body recognition, raw data extraction for automatic ankle angle measurement has been achieved. All angles have been evaluated by inertial measurement units (IMUs) as gold standard. For the six tests carried out at different fixed distances between 0.5 and 4 m to the Kinect, we have obtained (mean ± SD) a Pearson's coefficient,
MeSH term(s)	Ankle/diagnostic imaging ; Ankle Joint/diagnostic imaging ; Biomechanical Phenomena ; Foot ; Gait ; Humans
Language	English
Publishing date	2021-03-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s21051909
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Article: Context-free hyperspectral image enhancement for wide-field optical biomarker visualization.

Pardo, Arturo / Gutiérrez-Gutiérrez, José A / López-Higuera, José M / Conde, Olga M

Biomedical optics express

2019 Volume 11, Issue 1, Page(s) 133–148

Abstract: Many well-known algorithms for the color enhancement of hyperspectral measurements in biomedical imaging are based on statistical assumptions that vary greatly with respect to the proportions of different pixels that appear in a given image, and thus may ...

Abstract	Many well-known algorithms for the color enhancement of hyperspectral measurements in biomedical imaging are based on statistical assumptions that vary greatly with respect to the proportions of different pixels that appear in a given image, and thus may thwart their application in a surgical environment. This article attempts to explain why this occurs with SVD-based enhancement methods, and proposes the separation of spectral enhancement from analysis. The resulting method, termed
Language	English
Publishing date	2019-12-09
Publishing country	United States
Document type	Journal Article
ZDB-ID	2572216-5
ISSN	2156-7085
ISSN	2156-7085
DOI	10.1364/BOE.11.000133
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Article ; Online: Custom Scanning Hyperspectral Imaging System for Biomedical Applications: Modeling, Benchmarking, and Specifications.

Gutiérrez-Gutiérrez, José A / Pardo, Arturo / Real, Eusebio / López-Higuera, José M / Conde, Olga M

Sensors (Basel, Switzerland)

2019 Volume 19, Issue 7

Abstract: Prototyping hyperspectral imaging devices in current biomedical optics research requires taking into consideration various issues regarding optics, imaging, and instrumentation. In summary, an ideal imaging system should only be limited by exposure time, ...

Abstract	Prototyping hyperspectral imaging devices in current biomedical optics research requires taking into consideration various issues regarding optics, imaging, and instrumentation. In summary, an ideal imaging system should only be limited by exposure time, but there will be technological limitations (e.g., actuator delay and backlash, network delays, or embedded CPU speed) that should be considered, modeled, and optimized. This can be achieved by constructing a multiparametric model for the imaging system in question. The article describes a rotating-mirror scanning hyperspectral imaging device, its multiparametric model, as well as design and calibration protocols used to achieve its optimal performance. The main objective of the manuscript is to describe the device and review this imaging modality, while showcasing technical caveats, models and benchmarks, in an attempt to simplify and standardize specifications, as well as to incentivize prototyping similar future designs.
MeSH term(s)	Biomedical Research/trends ; Humans ; Image Processing, Computer-Assisted/methods ; Molecular Imaging/instrumentation ; Optics and Photonics/instrumentation
Language	English
Publishing date	2019-04-09
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s19071692
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Article ; Online: A novel aerosolisation mitigation device for endoscopic sinus and skull base surgery in the COVID-19 era.

Viera-Artiles, Jaime / Mato, David / Valdiande, José J / Lobo, David / Pedraja, Juan / López-Higuera, José M / Ospina, Javier

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery

2020 Volume 278, Issue 6, Page(s) 1869–1877

Abstract: Purpose: To provide a novel solution to reduce aerosol exposure in the operating room during endoscopic sinus and skull base procedures in the COVID-19 era.: Methods: We have designed a 3D printable midfacial mask that partially seals the nose, while ...

Abstract	Purpose: To provide a novel solution to reduce aerosol exposure in the operating room during endoscopic sinus and skull base procedures in the COVID-19 era. Methods: We have designed a 3D printable midfacial mask that partially seals the nose, while allowing instrumentation during endoscopic transnasal surgery. The mask when connected to a vacuum system creates a constant negative pressure inside it, sucking out aerosols and gases generated during surgical procedures. Its effectiveness was tested using vapour exhalations by a human volunteer and drilling bone in a head model. The physical barrier effect was measured using fluorescein atomization in a head model. Results: The pressure and airflow measured remained negative inside it in all the different situations tested. The mask was capable of completely evacuating human adult exhalation, and was more effective than the hand suction instrument. However, it was as effective as hand suction instrument at preventing aerosol spread from bone drilling. The physical barrier effect achieved a 72% reduction in the splatter created from the fluorescein atomization. Conclusions: The mask effectively prevented the spread of aerosols and reduced droplet spread during simulated transnasal endoscopic skull base surgery in laboratory conditions. This device has potential benefits in protecting surgical personnel against airborne transmission of COVID-19 and could be useful in reducing chronic exposure to the hazard of surgical smoke.
MeSH term(s)	Aerosols ; COVID-19 ; Endoscopy ; Humans ; SARS-CoV-2 ; Skull Base/surgery
Chemical Substances	Aerosols
Keywords	covid19
Language	English
Publishing date	2020-11-16
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1017359-6
ISSN	1434-4726 ; 0937-4477
ISSN (online)	1434-4726
ISSN	0937-4477
DOI	10.1007/s00405-020-06462-1
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Article: On the spectral signature of melanoma: a non-parametric classification framework for cancer detection in hyperspectral imaging of melanocytic lesions.

Pardo, Arturo / Gutiérrez-Gutiérrez, José A / Lihacova, I / López-Higuera, José M / Conde, Olga M

Biomedical optics express

2018 Volume 9, Issue 12, Page(s) 6283–6301

Abstract: Early detection and diagnosis is a must in secondary prevention of melanoma and other cancerous lesions of the skin. In this work, we present an online, reservoir-based, non-parametric estimation and classification model that allows for this ... ...

Abstract	Early detection and diagnosis is a must in secondary prevention of melanoma and other cancerous lesions of the skin. In this work, we present an online, reservoir-based, non-parametric estimation and classification model that allows for this functionality on pigmented lesions, such that detection thresholding can be tuned to maximize accuracy and/or minimize overall false negative rates. This system has been tested in a dataset consisting of 116 patients and a total of 124 hyperspectral images of nevi, raised nevi and melanomas, detecting up to 100% of the suspicious lesions at the expense of some false positives.
Language	English
Publishing date	2018-11-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2572216-5
ISSN	2156-7085
ISSN	2156-7085
DOI	10.1364/BOE.9.006283
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Article ; Online: Modeling and Synthesis of Breast Cancer Optical Property Signatures With Generative Models.

Pardo, Arturo / Streeter, Samuel S / Maloney, Benjamin W / Gutierrez-Gutierrez, Jose A / McClatchy, David M / Wells, Wendy A / Paulsen, Keith D / Lopez-Higuera, Jose M / Pogue, Brian W / Conde, Olga M

IEEE transactions on medical imaging

2021 Volume 40, Issue 6, Page(s) 1687–1701

Abstract: Is it possible to find deterministic relationships between optical measurements and pathophysiology in an unsupervised manner and based on data alone? Optical property quantification is a rapidly growing biomedical imaging technique for characterizing ... ...

Abstract	Is it possible to find deterministic relationships between optical measurements and pathophysiology in an unsupervised manner and based on data alone? Optical property quantification is a rapidly growing biomedical imaging technique for characterizing biological tissues that shows promise in a range of clinical applications, such as intraoperative breast-conserving surgery margin assessment. However, translating tissue optical properties to clinical pathology information is still a cumbersome problem due to, amongst other things, inter- and intrapatient variability, calibration, and ultimately the nonlinear behavior of light in turbid media. These challenges limit the ability of standard statistical methods to generate a simple model of pathology, requiring more advanced algorithms. We present a data-driven, nonlinear model of breast cancer pathology for real-time margin assessment of resected samples using optical properties derived from spatial frequency domain imaging data. A series of deep neural network models are employed to obtain sets of latent embeddings that relate optical data signatures to the underlying tissue pathology in a tractable manner. These self-explanatory models can translate absorption and scattering properties measured from pathology, while also being able to synthesize new data. The method was tested on a total of 70 resected breast tissue samples containing 137 regions of interest, achieving rapid optical property modeling with errors only limited by current semi-empirical models, allowing for mass sample synthesis and providing a systematic understanding of dataset properties, paving the way for deep automated margin assessment algorithms using structured light imaging or, in principle, any other optical imaging technique seeking modeling. Code is available.
MeSH term(s)	Algorithms ; Breast Neoplasms/diagnostic imaging ; Calibration ; Female ; Humans ; Neural Networks, Computer ; Optical Imaging
Language	English
Publishing date	2021-06-01
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	622531-7
ISSN	1558-254X ; 0278-0062
ISSN (online)	1558-254X
ISSN	0278-0062
DOI	10.1109/TMI.2021.3064464
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Article ; Online: Early diagnosis of frailty: Technological and non-intrusive devices for clinical detection.

Anabitarte-García, Francisco / Reyes-González, Luis / Rodríguez-Cobo, Luis / Fernández-Viadero, Carlos / Somonte-Segares, Silvia / Díez-Del-Valle, Sara / Mandaluniz, Eneritz / García-García, Roberto / López-Higuera, José M

Ageing research reviews

2021 Volume 70, Page(s) 101399

Abstract: This work analyses different concepts for frailty diagnosis based on affordable standard technology such as smartphones or wearable devices. The goal is to provide ideas that go beyond classical diagnostic tools such as magnetic resonance imaging or ... ...

Abstract	This work analyses different concepts for frailty diagnosis based on affordable standard technology such as smartphones or wearable devices. The goal is to provide ideas that go beyond classical diagnostic tools such as magnetic resonance imaging or tomography, thus changing the paradigm; enabling the detection of frailty without expensive facilities, in an ecological way for both patients and medical staff and even with continuous monitoring. Fried's five-point phenotype model of frailty along with a model based on trials and several classical physical tests were used for device classification. This work provides a starting point for future researchers who will have to try to bridge the gap separating elderly people from technology and medical tests in order to provide feasible, accurate and affordable tools for frailty monitoring for a wide range of users.
MeSH term(s)	Aged ; Early Diagnosis ; Frail Elderly ; Frailty/diagnosis ; Geriatric Assessment ; Humans ; Technology
Language	English
Publishing date	2021-06-30
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	2075672-0
ISSN	1872-9649 ; 1568-1637
ISSN (online)	1872-9649
ISSN	1568-1637
DOI	10.1016/j.arr.2021.101399
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Article ; Online: Virtual FBGs Using Saturable Absorbers for Sensing with Fiber Lasers.

Rodriguez-Cobo, Luis / Perez-Herrera, Rosa A / Quintela, María A / Ruiz-Lombera, Rubén / Lopez-Amo, Manuel / Lopez-Higuera, José M

Sensors (Basel, Switzerland)

2018 Volume 18, Issue 11

Abstract: The spectral narrowing of Fiber Bragg Gratings (FBGs) introduced by unpumped Er-doped fiber (EDF) was analyzed for fiber lasers (FL). Owing to spatial hole burning (SHB), the spectral response of a virtual FBG can be employed for narrowing the band pass ... ...

Abstract	The spectral narrowing of Fiber Bragg Gratings (FBGs) introduced by unpumped Er-doped fiber (EDF) was analyzed for fiber lasers (FL). Owing to spatial hole burning (SHB), the spectral response of a virtual FBG can be employed for narrowing the band pass filter employed to determine the lasing wavelength of laser cavities. A common FL was mounted to analyze the spectral stability of the method, and a FL sensor for strain and temperature measurements was experimentally characterized to determine the stability of the narrowing effect achieved by the unpumped EDF, which acts as a virtual FBG. The results exhibited remarkably good narrowing effects of the spectral response of uniform FBGs.
Language	English
Publishing date	2018-10-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s18113593
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