NIR DLPÃÂ® hyperspectral imaging system for medical applications

Wehner, Eleanor; Thapa, Abhas; Livingston, Edward H.; Zuzak, Karel J.

doi:10.1117/12.875802

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…MHSI has the capacity of real-time imaging, which enables the surgeon to make or confirm diagnosis and evaluate surgical therapy in an ongoing fashion in the operation room. 189 Overall, MHSI has been explored in surgeries, such as mastectomy, 45 gall bladder surgery, 192 cholecystectomy, 54,133 nephrectomy, 193,194 renal surgery, 80,191,193,195,196 abdominal surgery, 95 and intestinal surgery. 91 The following section will introduce these researches in details.…”

Section: Surgical Guidancementioning

confidence: 99%

Medical hyperspectral imaging: a review

2014

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Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications, especially in disease diagnosis and image-guided surgery. HSI acquires a three-dimensional dataset called hypercube, with two spatial dimensions and one spectral dimension. Spatially resolved spectral imaging obtained by HSI provides diagnostic information about the tissue physiology, morphology, and composition. This review paper presents an overview of the literature on medical hyperspectral imaging technology and its applications. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application.

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Section: Surgical Guidancementioning

confidence: 99%

Medical hyperspectral imaging: a review

2014

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“…Originally employed in satellite imagery for water resource control, 27, 28 hyperspectral imaging is now widely applied in food quality and safety control, 29, 30 forensic medicine, 31–33 and biomedicine. 34, 35 By providing spatially resolved spectral imaging, hyperspectral imaging has great potential for image-guided surgeries 36, 37 and disease detection_ENREF_34 38–40 and monitoring. 41, 42 Hyperspectral imaging may be employed in either the commonly used reflectance mode or the state-of-the-art AF mode.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral Autofluorescence Imaging of Drusen and Retinal Pigment Epithelium in Donor Eyes With Age-Related Macular Degeneration

Tong

Ami

Hong

et al. 2016

Retina

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Purpose To elucidate the molecular pathogenesis of age-related macular degeneration (AMD) and interpretation of fundus autofluorescence (AF) imaging, we identified spectral AF characteristics of drusen and retinal pigment epithelium (RPE) in donor eyes with AMD. Methods Macular RPE/Bruch’s membrane (BrM) flat mounts were prepared from 5 donor eyes with AMD. In 12 locations (1–3/eye), hyperspectral AF images in 10-nm-wavelength steps were acquired at 2 excitation wavelengths (λex 436 nm, 480 nm). A non-negative tensor factorization algorithm was used to recover 5 abundant emission spectra and their corresponding spatial localizations. Results At λex 436 nm, we consistently localized a novel spectrum (SDr) with a peak emission near 510 nm in drusen and sub-RPE deposits. Abundant emission spectra seen previously (S0 in BrM and S1, S2, and S3 in RPE lipofuscin/melanolipofuscin (L/ML), respectively), also appeared in AMD eyes, with the same shapes and peak wavelengths as in normal tissue. L/ML spectra localizations in AMD eyes varied widely in their overlap with drusen, ranging from none to complete. Conclusions An emission spectrum peaking at ~510 nm (λex 436 nm) appears to be sensitive and specific for drusen and sub-RPE deposits. One or more abundant spectra from RPE organelles exhibit characteristic relationships with drusen.

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“…There have been several previous studies on MHSI in the last decade [ 3 ]. Panasyuk used MHSI in distinguishing tumors from normal breast and other tissues, which demonstrated a sensitivity of 89% and a specificity of 94% for the detection of residual tumors [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Tongue Tumor Detection in Medical Hyperspectral Images

Wang

2011

Sensors

122

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A hyperspectral imaging system to measure and analyze the reflectance spectra of the human tongue with high spatial resolution is proposed for tongue tumor detection. To achieve fast and accurate performance for detecting tongue tumors, reflectance data were collected using spectral acousto-optic tunable filters and a spectral adapter, and sparse representation was used for the data analysis algorithm. Based on the tumor image database, a recognition rate of 96.5% was achieved. The experimental results show that hyperspectral imaging for tongue tumor diagnosis, together with the spectroscopic classification method provide a new approach for the noninvasive computer-aided diagnosis of tongue tumors.

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NIR DLPÃÂ® hyperspectral imaging system for medical applications

Cited by 6 publications

References 9 publications

Medical hyperspectral imaging: a review

Medical hyperspectral imaging: a review

Hyperspectral Autofluorescence Imaging of Drusen and Retinal Pigment Epithelium in Donor Eyes With Age-Related Macular Degeneration

Tongue Tumor Detection in Medical Hyperspectral Images

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NIR DLPÃÂ® hyperspectral imaging system for medical applications

Cited by 6 publications

References 9 publications

Medical hyperspectral imaging: a review

Medical hyperspectral imaging: a review

Hyperspectral Autofluorescence Imaging of Drusen and Retinal Pigment Epithelium in Donor Eyes With Age-Related Macular Degeneration

Tongue Tumor Detection in Medical Hyperspectral Images

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NIR DLPÃÂ® hyperspectral imaging system for medical applications