Instrumental error in chromotomosynthetic hyperspectral imaging

Bostick, Randall L.; Perram, Glen P.

doi:10.1364/ao.51.005186

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…146 In recent years, various interferometric spectral imaging systems and sensors have been developed and used for biomedical analysis, such as the spectral karyotyping (SKY), dynamic monitoring of biomolecular interactions, and live epithelial cancer cells analysis. 20,109,147,148 Besides the interferometer, some other devices such as the rotating direct vision prism, 149,150 VIF, 78 CVF, LVF, 42,151 and the dispersion of optical rotation 152 can also be used to form biomedical staring imagers. Although the staring biomedical spectral imagers do not need to scan in the spatial dimension, most of them still need to scan in the spectral dimension.…”

Section: Staring Biomedical Spectral Imaging Systemsmentioning

confidence: 99%

“…163 Significant loss in spatial resolution due to prism mount misalignment in a chromotomosynthetic HSI system has been analyzed by Bostick et al They found that the relative effect is less in the shorter-wavelength region, which indicates that spatial performance is also affected by wavelength. 149 However, astigmatism is not a problem in a spectral confocal laser scanning system because the laser submits single points from the FOV sequentially, not multiple points simultaneously. For a line-scanning spectral imaging system, the spatial resolution in the direction of the slit width is affected by the slit width, whereas the spatial resolution along the slit length is usually affected by the magnification and camera pixel size, 44 while for a spectral filters-based imaging system, the spatial resolution is also related to the types of tunable filters (AOTF, LCTF, etc.)…”

Section: Spatial Resolutionmentioning

confidence: 99%

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Review of spectral imaging technology in biomedical engineering: achievements and challenges

et al. 2013

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Spectral imaging is a technology that integrates conventional imaging and spectroscopy to get both spatial and spectral information from an object. Although this technology was originally developed for remote sensing, it has been extended to the biomedical engineering field as a powerful analytical tool for biological and biomedical research. This review introduces the basics of spectral imaging, imaging methods, current equipment, and recent advances in biomedical applications. The performance and analytical capabilities of spectral imaging systems for biological and biomedical imaging are discussed. In particular, the current achievements and limitations of this technology in biomedical engineering are presented. The benefits and development trends of biomedical spectral imaging are highlighted to provide the reader with an insight into the current technological advances and its potential for biomedical research.

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Section: Staring Biomedical Spectral Imaging Systemsmentioning

confidence: 99%

Section: Spatial Resolutionmentioning

confidence: 99%

Review of spectral imaging technology in biomedical engineering: achievements and challenges

et al. 2013

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“…A basic schematic of the AFIT CTI system is displayed in Figure 1 and has been described previously [26,28]. The detector is a PI-MAX Gen II intensified RB fast-gate 1024x1024 array with responsivity primarily in the 400 -850 nm region.…”

Section: Instrumentationmentioning

confidence: 99%

Chromotomosynthesis for high speed hyperspectral imagery

Bostick¹,

Perram²

2012

SPIE Proceedings

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A rotating direct vision prism, chromotomosynthetic imaging (CTI) system operating in the visible creates hyperspectral imagery by collecting a set of 2D images with each spectrally projected at a different rotation angle of the prism. Mathematical reconstruction techniques that have been well tested in the field of medical physics are used to reconstruct the data to produce the 3D hyperspectral image. The instrument operates with a 100 mm focusing lens in the spectral range of 400-900 nm with a field of view of 71.6 mrad and angular resolution of 0.8-1.6 μrad. The spectral resolution is 0.6 nm at the shortest wavelengths, degrading to over 10 nm at the longest wavelengths. Measurements using a pointlike target show that performance is limited by chromatic aberration. The accuracy and utility of the instrument is assessed by comparing the CTI results to spatial data collected by a wideband image and hyperspectral data collected using a liquid crystal tunable filter (LCTF). The wide-band spatial content of the scene reconstructed from the CTI data is of same or better quality as a single frame collected by the undispersed imaging system with projections taken at every 1°. Performance is dependent on the number of projections used, with projections at 5° producing adequate results in terms of target characterization. The data collected by the CTI system can provide spatial information of equal quality as a comparable imaging system, provide high-frame rate slitless 1-D spectra, and generate 3-D hyperspectral imagery which can be exploited to provide the same results as a traditional multi-band spectral imaging system. While this prototype does not operate at high speeds, components exist which will allow for CTI systems to generate hyperspectral video imagery at rates greater than 100 Hz. The instrument has considerable potential for characterizing bomb detonations, muzzle flashes, and other battlefield combustion events.

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“…21,22 Each projection (frame) of data taken by the CTI represents a two-dimensional (2-D) spectrograph, which can be exploited to analyze high frequency changes in spectral content. 28 For these reasons, spectral resolution is inferior to that of more conventional techniques such as imaging Fourier transform spectrometers and traditional scanning systems. Perhaps the most important attribute of CTI is the ability to collect complete HSI data cubes at rates easily exceeding 10 Hz, limited only by the detector array read rates.…”

Section: Introductionmentioning

confidence: 99%

Classification of visible point sources using hyperspectral chromotomosynthetic imagery

Bostick¹,

Perram²

2012

J. Appl. Remote Sens

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A hyperspectral chromotomosynthetic imaging (CTI) system is used to detect and classify a collection of 21 scattered, spectrally diverse point-like sources. The instrument operates in the visible to near IR (400 to 800 nm) and has the potential to collect spectral imagery at great than 10 Hz. A two-dimensional wideband spatial image of the target scene is used to detect and spatially characterize the targets leading to optimization of the three-dimensional (3-D) spatial/spectral reconstruction of the hyperspectral image cube. The instrument is assessed by directly comparing results to spatial data collected by a wideband image and hyperspectral data collected using a liquid crystal tunable filter (LCTF). Target classification using k-means clustering of observed spectra yielded 5 to 6 target classes for each methodology, indicating information obtained using CTI was similar to that collected by the LCTF. The wide-band spatial content of the scene reconstructed from the CTI data is of same or better quality in terms of background noise and target intensities as a single frame collected by the undispersed imaging system with projections taken at every 1 deg. Performance is dependent on the number of projections used, with projections at 5 deg producing adequate results in terms of target characterization. The CTI has 2 to 4 times the spectral resolution of the LCTF. The data collected by the CTI system can simultaneously provide spatial information of equal quality as a the bandpass imaging system, provide high-frame rate slitless one-dimensional spectra, and generate 3-D hyperspectral imagery which can be exploited to provide the same results as a traditional multiband spectral imaging system.

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Instrumental error in chromotomosynthetic hyperspectral imaging

Cited by 4 publications

References 26 publications

Review of spectral imaging technology in biomedical engineering: achievements and challenges

Review of spectral imaging technology in biomedical engineering: achievements and challenges

Chromotomosynthesis for high speed hyperspectral imagery

Classification of visible point sources using hyperspectral chromotomosynthetic imagery

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