Mobile phone-based evaluation of talent tuberculosis infection

Simple item page
dc.contributor.advisorMutsvangwa, Tinashe E Men_ZA
dc.contributor.advisorDouglas, Tania Sen_ZA
dc.contributor.authorNaraghi, Safa Kagisoen_ZA
dc.date.accessioned2018-04-24T13:55:13Z
dc.date.available2018-04-24T13:55:13Z
dc.date.issued2018en_ZA
dc.description.abstractThe tuberculin skin test (TST) is the most widely used method for detecting latent tuberculosis (TB) infection (LTBI) in adults and active TB disease in children. This work presents the development of a screening tool to detect LTBI's, which works in conjunction with the TST and serves as an alternative for measuring the TST induration. The screening tool makes use of a mobile application developed on the Android platform to capture images of an induration, and photogrammetric reconstruction using Agisoft PhotoScan to reconstruct the induration in 3D, followed by 3D measurement of the induration with the aid of Python functions. The screening accuracy of the developed process was tested using a 3D printed induration and an HTC One smartphone to capture images. In this accuracy test, the developed screening tool was found to measure indurations more accurately than current measurement methods, as indicated by the lower standard deviation produced. An experiment to simulate real-world conditions was conducted by using the developed screening tool on a set of mock skin indurations, created by a make-up artist, and evaluating its performance. It was found that the height of the skin induration and definition of its margins are the most significant factors that influence the accuracy of the screening tool under simulated real-world conditions. Future work should explore possible improvements to the developed image capture protocol and the bimodal segmentation methods employed in this project.en_ZA
dc.identifier.apacitationNaraghi, S. K. (2018). <i>Mobile phone-based evaluation of talent tuberculosis infection</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering. Retrieved from http://hdl.handle.net/11427/27831en_ZA
dc.identifier.chicagocitationNaraghi, Safa Kagiso. <i>"Mobile phone-based evaluation of talent tuberculosis infection."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering, 2018. http://hdl.handle.net/11427/27831en_ZA
dc.identifier.citationNaraghi, S. 2018. Mobile phone-based evaluation of talent tuberculosis infection. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Naraghi, Safa Kagiso AB - The tuberculin skin test (TST) is the most widely used method for detecting latent tuberculosis (TB) infection (LTBI) in adults and active TB disease in children. This work presents the development of a screening tool to detect LTBI's, which works in conjunction with the TST and serves as an alternative for measuring the TST induration. The screening tool makes use of a mobile application developed on the Android platform to capture images of an induration, and photogrammetric reconstruction using Agisoft PhotoScan to reconstruct the induration in 3D, followed by 3D measurement of the induration with the aid of Python functions. The screening accuracy of the developed process was tested using a 3D printed induration and an HTC One smartphone to capture images. In this accuracy test, the developed screening tool was found to measure indurations more accurately than current measurement methods, as indicated by the lower standard deviation produced. An experiment to simulate real-world conditions was conducted by using the developed screening tool on a set of mock skin indurations, created by a make-up artist, and evaluating its performance. It was found that the height of the skin induration and definition of its margins are the most significant factors that influence the accuracy of the screening tool under simulated real-world conditions. Future work should explore possible improvements to the developed image capture protocol and the bimodal segmentation methods employed in this project. DA - 2018 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2018 T1 - Mobile phone-based evaluation of talent tuberculosis infection TI - Mobile phone-based evaluation of talent tuberculosis infection UR - http://hdl.handle.net/11427/27831 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/27831
dc.identifier.vancouvercitationNaraghi SK. Mobile phone-based evaluation of talent tuberculosis infection. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering, 2018 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/27831en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDivision of Biomedical Engineeringen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherBiomedical Engineeringen_ZA
dc.titleMobile phone-based evaluation of talent tuberculosis infectionen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSc (Med)en_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_hsf_2018_naraghi_safa_kagiso.pdf
Size:
16.22 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Masters