{"@context":"http://iiif.io/api/presentation/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/manifest.json","@type":"sc:Manifest","label":"Interactive Visual Analysis in Medical Imaging","metadata":[{"label":"dc.identifier.uri","value":"http://hdl.handle.net/11401/78136"},{"label":"dcterms.abstract","value":"With the size of volumetric medical data constantly growing, demand is increasing for efficient compression, storage, and understanding of data. Along with an increase in the size of information come two new major forms of data consumption. First of all, doctors no longer need to be tied to the hospital room to read through a single patient data but can do it in comfort of their home or on their mobile device. Secondly, widespread of browser-based tools enables new collaborative ways of information analysis and research. In this work, we focus on these two novel ways of analysis of medical information: a mobile device for single-subject data delivery and reading and browser-based collaborative research tools for visual analysis of large groups of subjects.  Mobile devices have a number of unique characteristics that make them suitable platforms for mobile health applications. They are portable and can provide always-on connectivity with increasing throughput rates, effectively allowing a medical doctor to conduct the diagnostic process without being constrained to a static workstation. We construct and evaluate a dual pipeline for volumetric rendering on the mobile device and a remote rendering pipeline. Modern mobile devices also provide us new methods of input as an alternative to traditional mouse-keyboard interaction. We study two new ways of selection within volumetric data via new methods of input and construct respective models of human interaction. Next, we take a step further and evaluate novel mixed reality platform for simple immersive analysis tasks and interactions with volumetric data. With easier access to the data through protected hospital network, one can easily gather larger groups of subjects retrospectively for research in a specific problem domain. Often forgotten by laypeople, the spleen has risen as one of the examples of such problems. We develop a browser-based visual analytics application AnaFe to study changes in the spleen over time through multiple image-derived features. We take advantage of the amount of largely reproducible image features to enable construction of similarity-based queries through interaction with these features. Through rapid visual feedback, the user can compare several time-varying insights and their correlating features in a single overview."},{"label":"dcterms.available","value":"2018-03-22T22:39:05Z"},{"label":"dcterms.contributor","value":"Committee members: Zhao, Rong; Mueller, Klaus; Qiu, Feng"},{"label":"dcterms.creator","value":"Gutenko, Ievgeniia"},{"label":"dcterms.dateAccepted","value":"2018-03-22T22:39:05Z"},{"label":"dcterms.dateSubmitted","value":"2018-03-22T22:39:05Z"},{"label":"dcterms.description","value":"Department of Computer Science."},{"label":"dcterms.extent","value":"148 pages"},{"label":"dcterms.format","value":"application/pdf"},{"label":"dcterms.identifier","value":"http://hdl.handle.net/11401/78136"},{"label":"dcterms.issued","value":"2017-05"},{"label":"dcterms.language","value":"en"},{"label":"dcterms.provenance","value":"Made available in DSpace on 2018-03-22T22:39:05Z (GMT). No. of bitstreams: 1\nGutenko_grad.sunysb_0771E_13261.pdf: 67148441 bytes, checksum: c7c145446073b63ea989fda3a920b1ad (MD5)\n  Previous issue date: 2017-08-01"},{"label":"dcterms.subject","value":"interactive analytics, medical visualization, spleen, visual analytics, visualization"},{"label":"dcterms.type","value":"Text"},{"label":"dc.title","value":"Interactive Visual Analysis in Medical Imaging"}],"description":"This manifest was generated dynamically","viewingDirection":"left-to-right","sequences":[{"@type":"sc:Sequence","canvases":[{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json","@type":"sc:Canvas","label":"Page 1","height":1650,"width":1275,"images":[{"@type":"oa:Annotation","motivation":"sc:painting","resource":{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/37%2F31%2F73%2F3731730567486382615706210175893422171/full/full/0/default.jpg","@type":"dctypes:Image","format":"image/jpeg","height":1650,"width":1275,"service":{"@context":"http://iiif.io/api/image/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/37%2F31%2F73%2F3731730567486382615706210175893422171","profile":"http://iiif.io/api/image/2/level2.json"}},"on":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json"}]}]}]}