Contacts:
Niels M. Israelsen, nikr@fotonik.dtu.dk and Ole Bang, oban@fotonik.dtu.dk, 4525-6373
Optical coherence tomography (OCT) is a non-invasive imaging technique that uses white light interferometry to create 3D images in depth of biological tissue. In the group we apply the extremely broadband supercontinuum sources for ultrahigh resolution OCT reaching depth resolutions close to the single cell level. With a fagprojekt you will engage in our research in obtaining novel image information in order to aid the diagnosis of a number of diseases e.g. basal cell carcinoma, one type of skin cancer. Studies which are we deduct in collaboration with Bisbebjerg Hospital.
Within OCT we propose the two following projects:
Ultra-high resolution optical coherence tomography angiography
Conventional OCT provides only structural information about the sample. The student will extend the functionality of our state of the art OCT system to detect blood flow in what is called OCT angiography (OCTA). OCTA compares subsequent images, and the difference in speckle patterns reveals movement. The students will implement OCTA by devising clever algorithms building on existing literature and applying them on image data generated by the students themselves. The target is first imaging of flow phantoms and secondly imaging of blood flow.
Ultra-high resolution spectroscopic optical coherence tomography
Gold nanoshells (GNS) increase the contrast in OCT images due to the increased reflection compared to skin. The student will assess the penetration of the nanoshells by spectroscopic OCT. In spectroscopic OCT, the detected spectrum is split into two or more sub-spectra, that each contains information about scattering and absorption of the sample in the spectral regions of the sub-spectra. The students will create spectroscopic OCT algorithms and test these on imaging data of samples with GNS, image data generated by the students themselves in the laboratory. In doing so, the students will devise the best numerical approach to bring out spectral features of the GNS in the structural OCT images.