(Inverse Problems in) BioMedical Imaging
Seminar Room 1, Newton Institute
Biomedical Imaging is a large topic that may be divided into direct imaging methods versus indirect imaging. By direct imaging we mean methods such as microscopy wherein the data is acquired and presented as an image; by indirect imaging we mean methods such as tomography wherein data is acquired through a detector and images are reconstructed by solving an inverse problem. Common to both approaches are tasks such as segmentation, registration, and pattern recognition, and confounding processes such as noise, blurring and obscuration.
Direct Biomedical Imaging can be contrasted with Computer Vision due to the different nature of the resolution, contrast, and confounding processes involved. Indirect Imaging can be compared to other classes of inverse problems, and again we may draw particular details to do with the typically large scale of biomedical images, their sometimes non-unique or badly ill-posed nature, and in some cases their non-linear character.
In this talk I will try to give an overview of some current topics in these areas.