From Event: SPIE Commercial + Scientific Sensing and Imaging, 2018
We consider in this paper the problem of image inpainting in medical image analysis, where the objective is to reconstruct missing or deteriorated parts of an image. It is a good tool for such medical applications as vascular reconstruction, specular reflection removal for endoscopic images, MRA artefacts removing etc. Most inpainting approaches require a good image model to infer the unknown pixels. The proposed approach uses the modified exemplar-based technique. A novel approach combines mapping from image patches and pre-trained deep neural network. In our work, we exploit the concept of sparse representation, which takes a group of nonlocal patches with similar textures as the basic unit instead of a patch. Moreover, the color and multi-direction constraints are incorporated into the optimisation criterion to obtain sharp inpainting results. As a result, the proposed method provides plausible restoration while propagating information of edge for the target region. Experimental results demonstrate the effectiveness of the proposed method in the tasks of medical image inpainting.
Viacheslav V. Voronin, Gevorg Karapetyan, and Sos Agaian, "Inpainting using neural network in medical image analysis (Conference Presentation)," Proc. SPIE 10668, Mobile Multimedia/Image Processing, Security, and Applications 2018, 106680K (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 16, 2018; Published: 15 May 2018); https://doi.org/10.1117/12.2305064.5783321294001.
Conference Presentations are recordings of oral presentations given at SPIE conferences and are published as part of the conference proceedings. They include the speaker's narration along with video of the slides and animations. Most also include full-text papers. Interactive, searchable transcripts and closed captioning are now available for 2018 presentations, with transcripts for prior recordings added daily.
Search and browse our growing collection of more than 16,000 conference presentations, including many plenary and keynote presentations.