• Corpus ID: 14668166

Towards a Surgical Tool Using Hyperspectral Imagery as Visual Aid

@inproceedings{2004TowardsAS,
  title={Towards a Surgical Tool Using Hyperspectral Imagery as Visual Aid},
  author={小山 幸夫 and Yukio Kosugi},
  year={2004}
}
This paper presents a new application to exploit the capabilities of hyperspectral imagery as a visual supporting tool during surgeries. In order to enhance the visualization of regions affected with spilt blood, a hyperspectral imaging technique has been developed. We propose a neural network approach to nonlinearly combine the wavelengths of the spectrum in order to reduce the effect of spilt blood in an image and produce a clearer image of the concealed area. Preliminary experimental results… 

Figures from this paper

Optimization of Infrared Spectral Manipulation for Surgical Visual Aid
TLDR
A neural network approach is developed to generate a nonlinear combination of spectral reflectance bands in the near infrared region revealing images that could not be seeing in unprocessed images.
Medical hyperspectral imaging: a review
TLDR
An overview of the literature on medical hyperspectral imaging technology and its applications is presented, 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 are presented.
Wavelet-Based Compression and Segmentation of Hyperspectral Images in Surgery
TLDR
The application of hyperspectral imaging is presented as a visual supporting tool to detect different organs and tissues during surgeries and will be useful for finding ectopic tissues and diagnosis of tissue abnormalities.
Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization
TLDR
The proposed method uses a binary version of a particle swarm optimizer to select a subset of band wavelengths in the near- infrared region, in which the optical absorption characteristics of blood allows some visual information to be extracted.
Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization
TLDR
An intraoperative application of a particle swarm optimization based feature extraction algorithm for hyperspectral imagery data visualization using human blood and an artificial background to validate the method and assess the fitness functions is proposed.
Conditional Random Fields for Rock Characterization Using Drill Measurements
TLDR
A novel approach to infer geology from drill measurements by incorporating spatial relationships through a Conditional Random Field (CRF) framework is proposed and experimental results of applying the method to MWD data collected from a semi-autonomous drill rig at an iron ore mine in Western Australia are presented.

References

SHOWING 1-5 OF 5 REFERENCES
TOWARDS APPLYING HYPERSPECTRAL IMAGERY AS AN INTRAOPERATIVE VISUAL AID TOOL
During a surgery, the inevitable presence of blood covering the surgical field demands efforts to keep the area as clean as possible. A new hyperspectral data processing method is being developed to
Diffuse photon probes of structural and dynamical properties of turbid media: Theory and biomedical applications
DIFFUSE PHOTON PROBES OF STRUCTURAL AND DYNAMICAL PROPERTIES OF TURBID MEDIA THEORY AND BIOMEDICAL APPLICATIONS David A Boas Arjun G Yodh Di using photons can be used to detect localize and
Neural networks for pattern recognition
TLDR
This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.
Neural networks for pattern
  • 1995