ArticleProceedings of SPIE--the International Society for Optical Engineering2014
Hyperspectral Imaging for Cancer Surgical Margin Delineation: Registration of Hyperspectral and Histological Images.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Hyperspectral imaging for tumor resection guidance in surgery: a systematic review of preclinical and clinical studies.Journal of biomedical optics · 2025Pooled it
- Mapping and anatomo-surgical techniques for language preservation in brain tumours (Review).Experimental and therapeutic medicine · 2026Review
- Perspective on the current state of hyperspectral/multispectral imaging for minimally invasive surgery.Journal of biomedical optics · 2026Review
- Hyperspectral dark-field microscopy of human breast lumpectomy samples for tumor margin detection in breast-conserving surgery.Journal of biomedical optics · 2024Article
- Deformable multi-modal image registration for the correlation between optical measurements and histology images.Journal of biomedical optics · 2024Article
- An Ensemble Learning Method for Detection of Head and Neck Squamous Cell Carcinoma Using Polarized Hyperspectral Microscopic Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements.Journal of imaging · 2024Article
- In vivo evaluation of a hyperspectral imaging system for minimally invasive surgery (HSI-MIS).Surgical endoscopy · 2023Article
- A Photoacoustic Contrast Nanoagent with a Distinct Spectral Signature for Ovarian Cancer Management.Advanced healthcare materials · 2023Article
- Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging.Journal of biomedical optics · 2022Article
- SPIE Medical Imaging 50th anniversary: historical review of the Image-Guided Procedures, Robotic Interventions, and Modeling conference.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Explainable liver tumor delineation in surgical specimens using hyperspectral imaging and deep learning.Biomedical optics express · 2021Article
- Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Comprehensive review of surgical microscopes: technology development and medical applications.Journal of biomedical optics · 2021Review
- Nonlinear multispectral imaging for tumor delineation.Journal of biomedical optics · 2020Article
- Surgical spectral imaging.Medical image analysis · 2020Review
- Development of a new polarized hyperspectral imaging microscope.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging.Sensors (Basel, Switzerland) · 2019Article
- Method for coregistration of optical measurements of breast tissue with histopathology: the importance of accounting for tissue deformations.Journal of biomedical optics · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The determination of tumor margins during surgical resection remains a challenging task. A complete removal of malignant tissue and conservation of healthy tissue is important for the preservation of organ function, patient satisfaction, and quality of life. Visual inspection and palpation is not sufficient for discriminating between malignant and normal tissue types. Hyperspectral imaging (HSI) technology has the potential to noninvasively delineate surgical tumor margin and can be used as an intra-operative visual aid tool. Since histological images provide the ground truth of cancer margins, it is necessary to warp the cancer regions in ex vivo histological images back to in vivo hyperspectral images in order to validate the tumor margins detected by HSI and to optimize the imaging parameters. In this paper, principal component analysis (PCA) is utilized to extract the principle component bands of the HSI images, which is then used to register HSI images with the corresponding histological image. Affine registration is chosen to model the global transformation. A B-spline free form deformation (FFD) method is used to model the local non-rigid deformation. Registration experiment was performed on animal hyperspectral and histological images. Experimental results from animals demonstrated the feasibility of the hyperspectral imaging method for cancer margin detection.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.