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undergraduate thesis
Računalna analiza MR slika mozga novorođenčeta
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:905994
Tomakić, Erika
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Tomakić, E. (2023). Računalna analiza MR slika mozga novorođenčeta (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:905994

Tomakić, Erika. "Računalna analiza MR slika mozga novorođenčeta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:905994

Tomakić, Erika. "Računalna analiza MR slika mozga novorođenčeta." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:905994

Tomakić, E. (2023). 'Računalna analiza MR slika mozga novorođenčeta', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:905994

Tomakić E. Računalna analiza MR slika mozga novorođenčeta [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:905994

E. Tomakić, "Računalna analiza MR slika mozga novorođenčeta", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:905994

Metadata
TitleRačunalna analiza MR slika mozga novorođenčeta
Title (english)Computer analysis of the neonatal brain MR images
AuthorErika Tomakić
MentorJelena Božek (mentor)
Committee memberJelena Božek (predsjednik povjerenstva)
Committee memberFilip Turčinović (član povjerenstva)
Committee memberIvana Žeger (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj rada je korištenjem programskog toka dHCP obraditi strukturne MR slike mozga nedonoščadi. Korištene slike prikupljene su unutar projekta PERINEDO u sklopu Hrvatskog instituta za istraživanje mozga u Zagrebu. Prikupljeni su podatci 50 subjekata. U vrijeme snimanja prosječna starost ispitanika je oko punog termina, tj. oko 40. tjedna. Na svakom subjektu provedena je registracija površine mozga na zajednički atlas kortikalne površine. Na temelju dobivenih rezultata, obavljena je grupna analiza ispitanika kojom su izračunate srednje vrijednosti značajki kortikalne površine. Dobivene su prosječne vrijednosti kortikalne debljine, sulkalne dubine i zakrivljenosti koje su uspoređene s mjerama iz projekta dHCP.
Abstract (english)
The goal of this paper is processing structural infant brain MR images using dHCP pipeline. MR images were acquired from Croatian Institute of Brain Research as part of the PERINEDO project. Data from 50 subjects were obtained. Average scan is full-term equivalent age, i.e. around 40-weeks PMA. Each subject's brain surface was aligned to the dHCP surface template space. Based on aligned surfaces, group analysis of average cortical feature values was made. Calculated values include average cortical thickness, average sulcal depth and average curvature. Results were then compared to cortical measures from the dHCP project.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:905994
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 10:46:47