{"id":3147,"date":"2023-04-21T13:18:17","date_gmt":"2023-04-21T11:18:17","guid":{"rendered":"https:\/\/www.um.sav.sk\/en\/?p=3147"},"modified":"2024-02-29T13:26:27","modified_gmt":"2024-02-29T12:26:27","slug":"application-of-deep-learning-algorithms-on-automated-mri-data-processing","status":"publish","type":"post","link":"https:\/\/www.um.sav.sk\/en\/phd-topics-archive\/application-of-deep-learning-algorithms-on-automated-mri-data-processing\/","title":{"rendered":"Application of deep-learning algorithms on automated MRI data processing"},"content":{"rendered":"

PhD study program: Measurement Technology<\/strong>
\nAcademic year: 2023-2024<\/strong>
\nAdvisor: RNDr. Andrej Kraf\u010d\u00edk, PhD. (<\/strong>andrej.krafcik@savba.sk<\/a>)<\/strong>
\nExternal educational institution: Institute of Measurement Science SAS<\/strong>
\nAccepting university: Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Institute of Electrical Engineering <\/strong><\/p>\n

Annotation:<\/h2>\n

Automated identification and segmentation of clinical data, obtained primary by MRI, <\/span>is very desirable. The reason is typically large size of data and therefore enormous time, <\/span>which radiologist has to invest into the manual segmentation. Availability of power<\/span>ful <\/span>hardware open new capabilities to automate this processes and speedup via deep <\/span>learning techniques using convolutional neural networks (CNN). Therefore, student <\/span>will learn the fundamental functionality principles of MRI device (theoretically and <\/span>practically), try manual segmentation of volumetric MRI data, and theoretically and <\/span>practically learn principles of CNN. Student will design own architecture of CNN for <\/span>automated segmentation of volumetric data, further train, validate and implement on <\/span>testing data.<\/span>
The output of this dissertation should be a CNN capable of deployment in clinical prac<\/span>tice, in the diagnosis and quantitative analysis of selected tissues (cartilage, ligaments, <\/span>tendons, menisci, subcutaneous fat, etc.). I<\/span>t is theoretical work, in which programming basics and knowledge of some prog<\/span>ramming language are necessary. As the programming environment, for design and <\/span>implementation of CNN, will be used<\/span> Python<\/span> with module<\/span> TensorFlow<\/span>.<\/span><\/p>\n

Literature:<\/span>
1. Juras, V., Szomolanyi, P., Schreiner, M.M., Unterberger, K., Kurekova, A., Ha<\/span>ger, B., Laurent, D., Raithel, E., Meyer, H., Trattnig, S. Reproducibility of an <\/span>Automated Quantitative MRI Assessment of Low-Grade Knee Articular Carti<\/span>lage Lesions. Cartilage, 13, 646S-657S, 2021.<\/span>
2. Chollet, F. Deep learning with Python – 2nd edition, Manning Publications Co., <\/span>Shelter Island, NY, 2021.<\/span>
3. Cicek, O., Abdulkadir, A., Lienkamp, S.S., Brox, T., Ronneberger, O. 3D U-net: <\/span>Learning dense volumetric segmentation from sparse annotation. Lecture Notes <\/span>in Computer Science (including subseries Lecture Notes in Arti cial Intelligence <\/span>and Lecture Notes in Bioinformatics), 9901 LNCS, 424-432, 2016.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

PhD study program: Measurement Technology Academic year: 2023-2024 Advisor: RNDr. Andrej Kraf\u010d\u00edk, PhD. (andrej.krafcik@savba.sk) External educational institution: Institute of Measurement Science SAS Accepting university: Faculty…<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[24],"tags":[],"class_list":["post-3147","post","type-post","status-publish","format-standard","hentry","category-phd-topics-archive"],"publishpress_future_action":{"enabled":false,"date":"2026-04-28 15:23:55","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/3147","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/comments?post=3147"}],"version-history":[{"count":2,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/3147\/revisions"}],"predecessor-version":[{"id":3164,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/3147\/revisions\/3164"}],"wp:attachment":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/media?parent=3147"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/categories?post=3147"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/tags?post=3147"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}