Towards Clinical Hyperspectral Imaging (HSI) Standards: Initial Design for a Microneurosurgical HSI Database

Puustinen, Sami; Hyttinen, Joni; Hisuin, Gemal; Vrzáková, Hana; Huotarinen, Antti; Fält, Pauli; Hauta-Kasari, Markku; Immonen, Arto; Koivisto, Timo; Jääskeläinen, Juha E.; Elomaa, Antti-Pekka

doi:10.1109/cbms55023.2022.00077

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Dataset was acquired using a customized HSI system [7] . The system comprised a portable hyperspectral camera (Senop HSC-2, Senop Oy), an operating microscope (OPMI Pentero 900, Carl Zeiss AG), optic adapters, and a computer used to control the imaging.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training

Puustinen,

Hyttinen,

Elomaa

et al. 2023

Data in Brief

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training

Puustinen,

Hyttinen,

Elomaa

et al. 2023

Data in Brief

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“…The HSC-2 (Senop Oy, Kangasala, Finland) (Figure 2) is a hyperspectral device with snapshot approach and a VIS/NIR spectral range already used in research activities, e.g., the acquisition of high-resolution hyperspectral images acquired in flight by a UAV platform [29,37], the assessments of plant health status through the detection of potassium concentration on leaves [38], and the development of a pathological tissue database in biomedical applications [39,40]. The HSC-2 is a frame-based digital hyperspectral camera equipped with a true global snapshot sensor that can collect the entire 3-dimensional data cube in a single integration period (1).…”

Section: Hyperspectral Correction Methodologymentioning

confidence: 99%

A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera

Genangeli,

Avola,

Bindi

et al. 2023

Sensors

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The development of spectral sensors (SSs) capable of retrieving spectral information have opened new opportunities to improve several environmental and agricultural practices, e.g., crop breeding, plant phenotyping, land use monitoring, and crop classification. The SSs are classified as multispectral and hyperspectral (HS) based on the number of the spectral bands resolved and sampled during data acquisition. Large-scale applications of the HS remain limited due to the cost of this type of technology and the technical difficulties in hyperspectral data processing. Low-cost portable hyperspectral cameras (PHCs) have been progressively developed; however, critical aspects associated with data acquisition and processing, such as the presence of spectral discontinuities, signal jumps, and a high level of background noise, were reported. The aim of this work was to analyze and improve the hyperspectral output of a PHC Senop HSC-2 device by developing a general use methodology. Several signal gaps were identified as falls and jumps across the spectral signatures near 513, 650, and 930 nm, while the dark current signal magnitude and variability associated with instrumental noise showed an increasing trend over time. A data correction pipeline was successfully developed and tested, leading to 99% and 74% reductions in radiance signal jumps identified at 650 and 830 nm, respectively, while the impact of noise on the acquired signal was assessed to be in the range of 10% to 15%. The developed methodology can be effectively applied to other low-cost hyperspectral cameras.

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Unsupervised segmentation of human placenta tissues using hyperspectral image analysis

Issa,

Hossain,

Tøn

et al. 2023

IEEE EUROCON 2023 - 20th International Conference on Smart Technologies

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Towards Clinical Hyperspectral Imaging (HSI) Standards: Initial Design for a Microneurosurgical HSI Database

Cited by 3 publications

References 26 publications

Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training

Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training

A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera

Unsupervised segmentation of human placenta tissues using hyperspectral image analysis

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