Title : 
Research opportunities in creating medical images
         
        
        
            Author_Institution : 
Cornell Univ., Ithaca, NY, USA
         
        
        
        
        
        
            Abstract : 
Computer vision is traditionally defined as the analysis of the content of images. In the context of medical imaging, this naturally leads to a focus on segmentation and registration. I argue that there is an underappreciated opportunity for computer vision researchers in the domain of image creation. I illustrate the technical challenges involved, with an emphasis on magnetic resonance (MR) imaging. These problems have unusual features that make them intellectually interesting, beyond their obvious practical importance.
         
        
            Keywords : 
biomedical MRI; computer vision; medical image processing; MR imaging; computer vision researcher; image content analysis; magnetic resonance imaging; medical image creation; medical image registration; medical image segmentation; practical importance; research opportunity; technical challenge; Biomedical imaging; Computed tomography; Computer vision; Deconvolution; Magnetic resonance imaging; Protocols;
         
        
        
        
            Conference_Titel : 
Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
         
        
            Conference_Location : 
Tokyo
         
        
        
            DOI : 
10.1109/MVA.2015.7153100