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U. of Salford

A medical ultrasound reporting system based on domain ontology

Abstract

dc:description.abstract

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 turn 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 heterogeneous 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 ultrasound 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.

Degree

thesis:*
Level dc:type.qualificationlevel
Doctoral (Level 8)
Year dc:date.issued
2026

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zulkarnain, NZ

Rights

Language dc:language
en

Identifiers

dc:identifier.*
Identifier
oai:salford-repository.worktribe.com:1391009
Author Identifier
0000-0003-0001-7948
OAI identifier oai:identifier
oai:salford-repository.worktribe.com:1391009

Chain of custody

source
Harvested from
U. of Salford
Base URL
salford-repository.worktribe.com/oaiprovider
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Zulkarnain, NZ. A medical ultrasound reporting system based on domain ontology. Doctoral (Level 8) thesis, 2026.