A medical ultrasound reporting system based on domain ontology

Zulkarnain, Nur Zareen (2017) A medical ultrasound reporting system based on domain ontology. PhD thesis, Universiti Teknikal Malaysia Melaka.

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Ultrasound reports are produced in different ways by radiologists. These variations in reporting style could impact on the value of the report and the way it is interpreted, which in tum may have implications for patients' management and decision making. As the images produced will not give the whole view of the examination, it is vital that a high quality and standardised ultrasound report is produced. In addition to their medical value, ultrasound reports contain a lot of important information that can be very useful in research and education. Reports can contain a variety of terms or het-erogeneous terminologies used for describing similar findings. This research project aims to develop a medical ultrasound reporting system that uses domain ontology as its knowledge base to support the generation of standardised reports as well as Rhetorical Structure Theory (RST) to transform free text reports to the preferred structured and standardised format. The domain ontology will specifically focus on abdominal ultra-sound scanning which includes both the anatomy and pathology of the organs in the abdominal area. The ontology was developed using an ontology reuse methodology where terms from the sample reports were mapped to existing biomedical ontologies. It is anticipated that a standardised report based on domain ontology will improve the quality of ultrasound reports and encourage its implementation.

Item Type: Thesis (PhD)
Uncontrolled Keywords: Ultrasonic imaging,Imaging systems
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Tesis > FTMK
Depositing User: Mohd. Nazir Taib
Date Deposited: 03 Apr 2018 02:47
Last Modified: 03 Apr 2018 02:47
URI: http://eprints.utem.edu.my/id/eprint/20407
Statistic Details: View Download Statistic

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