Line-Field Confocal Optical Coherence Tomography (LC-OCT) for Skin Imaging in Dermatology

Line-field confocal optical coherence tomography (LC-OCT) is a non-invasive optical imaging technique based on a combination of the principles of optical coherence tomography and reflectance confocal microscopy with line-field illumination, which can generate cell-resolved images of the skin in vivo...

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Vydáno v:	Life (Basel, Switzerland) Ročník 13; číslo 12; s. 2268
Hlavní autoři:	Latriglia, Flora, Ogien, Jonas, Tavernier, Clara, Fischman, Sébastien, Suppa, Mariano, Perrot, Jean-Luc, Dubois, Arnaud
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 28.11.2023 MDPI
Témata:	3D reconstruction Algorithms Basal cell carcinoma Biopsy Confocal microscopy Deep learning Dermatology dermoscopy Imaging techniques In vivo methods and tests Inflammation Invasiveness Keratosis Lesions Life Sciences line-field confocal optical coherence tomography (LC-OCT) Machine learning Medical equipment Melanoma Microscopy Oncology Optical Coherence Tomography optical coherence tomography (OCT) Physics Principles Skin Skin cancer Skin diseases skin imaging Skin lesions Squamous cell carcinoma Technological change Tomography Ultrasonic imaging United States > US Germany 3D reconstruction dermatology skin imaging line-field confocal optical coherence tomography (LC-OCT) confocal microscopy optical coherence tomography (OCT) artificial intelligence dermoscopy optical coherence tomography (OCT) line-field confocal optical coherence tomography (LC-OCT) confocal microscopy 3D reconstruction dermoscopy skin imaging dermatology artificial intelligence
ISSN:	2075-1729, 2075-1729
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Abstract	Line-field confocal optical coherence tomography (LC-OCT) is a non-invasive optical imaging technique based on a combination of the principles of optical coherence tomography and reflectance confocal microscopy with line-field illumination, which can generate cell-resolved images of the skin in vivo. This article reports on the LC-OCT technique and its application in dermatology. The principle of the technique is described, and the latest technological innovations are presented. The technology has been miniaturized to fit within an ergonomic handheld probe, allowing for the easy access of any skin area on the body. The performance of the LC-OCT device in terms of resolution, field of view, and acquisition speed is reported. The use of LC-OCT in dermatology for the non-invasive detection, characterization, and therapeutic follow-up of various skin pathologies is discussed. Benign and malignant melanocytic lesions, non-melanocytic skin tumors, such as basal cell carcinoma, squamous cell carcinoma and actinic keratosis, and inflammatory and infectious skin conditions are considered. Dedicated deep learning algorithms have been developed for assisting in the analysis of LC-OCT images of skin lesions.
AbstractList	Line-field confocal optical coherence tomography (LC-OCT) is a non-invasive optical imaging technique based on a combination of the principles of optical coherence tomography and reflectance confocal microscopy with line-field illumination, which can generate cell-resolved images of the skin in vivo. This article reports on the LC-OCT technique and its application in dermatology. The principle of the technique is described, and the latest technological innovations are presented. The technology has been miniaturized to fit within an ergonomic handheld probe, allowing for the easy access of any skin area on the body. The performance of the LC-OCT device in terms of resolution, field of view, and acquisition speed is reported. The use of LC-OCT in dermatology for the non-invasive detection, characterization, and therapeutic follow-up of various skin pathologies is discussed. Benign and malignant melanocytic lesions, non-melanocytic skin tumors, such as basal cell carcinoma, squamous cell carcinoma and actinic keratosis, and inflammatory and infectious skin conditions are considered. Dedicated deep learning algorithms have been developed for assisting in the analysis of LC-OCT images of skin lesions.Line-field confocal optical coherence tomography (LC-OCT) is a non-invasive optical imaging technique based on a combination of the principles of optical coherence tomography and reflectance confocal microscopy with line-field illumination, which can generate cell-resolved images of the skin in vivo. This article reports on the LC-OCT technique and its application in dermatology. The principle of the technique is described, and the latest technological innovations are presented. The technology has been miniaturized to fit within an ergonomic handheld probe, allowing for the easy access of any skin area on the body. The performance of the LC-OCT device in terms of resolution, field of view, and acquisition speed is reported. The use of LC-OCT in dermatology for the non-invasive detection, characterization, and therapeutic follow-up of various skin pathologies is discussed. Benign and malignant melanocytic lesions, non-melanocytic skin tumors, such as basal cell carcinoma, squamous cell carcinoma and actinic keratosis, and inflammatory and infectious skin conditions are considered. Dedicated deep learning algorithms have been developed for assisting in the analysis of LC-OCT images of skin lesions. Line-field confocal optical coherence tomography (LC-OCT) is a non-invasive optical imaging technique based on a combination of the principles of optical coherence tomography and reflectance confocal microscopy with line-field illumination, which can generate cell-resolved images of the skin in vivo. This article reports on the LC-OCT technique and its application in dermatology. The principle of the technique is described, and the latest technological innovations are presented. The technology has been miniaturized to fit within an ergonomic handheld probe, allowing for the easy access of any skin area on the body. The performance of the LC-OCT device in terms of resolution, field of view, and acquisition speed is reported. The use of LC-OCT in dermatology for the non-invasive detection, characterization, and therapeutic follow-up of various skin pathologies is discussed. Benign and malignant melanocytic lesions, non-melanocytic skin tumors, such as basal cell carcinoma, squamous cell carcinoma and actinic keratosis, and inflammatory and infectious skin conditions are considered. Dedicated deep learning algorithms have been developed for assisting in the analysis of LC-OCT images of skin lesions.
Author	Fischman, Sébastien Latriglia, Flora Ogien, Jonas Tavernier, Clara Dubois, Arnaud Perrot, Jean-Luc Suppa, Mariano
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Keywords	3D reconstruction dermatology skin imaging line-field confocal optical coherence tomography (LC-OCT) confocal microscopy optical coherence tomography (OCT) artificial intelligence dermoscopy optical coherence tomography (OCT) line-field confocal optical coherence tomography (LC-OCT) confocal microscopy 3D reconstruction dermoscopy skin imaging dermatology artificial intelligence
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SubjectTerms	3D reconstruction Algorithms Basal cell carcinoma Biopsy Confocal microscopy Deep learning Dermatology dermoscopy Imaging techniques In vivo methods and tests Inflammation Invasiveness Keratosis Lesions Life Sciences line-field confocal optical coherence tomography (LC-OCT) Machine learning Medical equipment Melanoma Microscopy Oncology Optical Coherence Tomography optical coherence tomography (OCT) Physics Principles Skin Skin cancer Skin diseases skin imaging Skin lesions Squamous cell carcinoma Technological change Tomography Ultrasonic imaging
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Title	Line-Field Confocal Optical Coherence Tomography (LC-OCT) for Skin Imaging in Dermatology
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