Publications by authors named "B Regeling"
Article Synopsis
- Hyperspectral imaging (HSI) is being used in the medical field for cancer detection, initially with rigid endoscopy and now evolving to flexible endoscopy for better access to difficult areas.
- The use of flexible endoscopes introduces a honeycomb pattern that interferes with imaging, making it crucial to remove this pattern without losing important data on pixel variations.
- A new filtering technique has been developed that effectively eliminates the honeycomb pattern, enhancing classification accuracy while retaining essential image details when comparing it to traditional methods.
Background: Early detection of cancerous lesions is still crucial for a patient's prognosis. Although diagnostic access to the oral cavity and oropharynx is comparably easy, the incidence of resulting disease remains high. This is due to the fact that in many cases, malignity is recognized too late on a purely visual basis.
View Article and Find Full Text PDFHyperspectral imaging (HSI) is a technology with high potential in the field of non-invasive detection of cancer. However, in complex imaging situations like HSI of the larynx with a rigid endoscope, various image interferences can disable a proper classification of cancerous tissue. We identified three main problems: i) misregistration of single images in a HS cube due to patient heartbeat ii) image noise and iii) specular reflections (SR).
View Article and Find Full Text PDF