{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/375"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/375","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Infrastructure for secure medical image sharing between distributed PACS and DI-r systems.","abstract":"Recent developments in information and communication technologies and their incor- poration into the medical domain have opened doors for the enhancement of health care services and thereby increasing the work ow at a reasonable rate. However, to implement such services, current medical system needs to be exible enough to support integration with other systems. This integration should be achieved in a secure manner and the resultant service should be made available to all health professionals and patients. This thesis proposes a new infrastructure for secure medical image sharing between legacy PACS and DI-r. The solution employs OpenID standard for user authentication, OAuth service to grant authorization and IHE XDS-I pro les to store and retrieve medical im- ages and associated meta data. In the proposed infrastructure cooperative agents are employed to provide a user action, patient consent and system policy based access con- trol mechanism to securely share medical images. This allows safe integration of PACS and DI-r systems within a standard EHR system. In addition to this, a behavior-pattern based security policy enhancement feature is added to the system to assist the system security administrator. The resulting secure and interoperable medical imaging systems are easy to expand and maintain. Behavior of the entire system is analysed using general- purpose model driven development tool IBM Rational Rhapsody. The code generation and animation capability of the tool makes it powerful for running e ective simulations. We mainly explore the use of state charts and their interactions with MySQL database to learn the behavior of the system.","abstract_html":"Recent developments in information and communication technologies and their incor- poration into the medical domain have opened doors for the enhancement of health care services and thereby increasing the work ow at a reasonable rate. However, to implement such services, current medical system needs to be exible enough to support integration with other systems. This integration should be achieved in a secure manner and the resultant service should be made available to all health professionals and patients. This thesis proposes a new infrastructure for secure medical image sharing between legacy PACS and DI-r. The solution employs OpenID standard for user authentication, OAuth service to grant authorization and IHE XDS-I pro les to store and retrieve medical im- ages and associated meta data. In the proposed infrastructure cooperative agents are employed to provide a user action, patient consent and system policy based access con- trol mechanism to securely share medical images. This allows safe integration of PACS and DI-r systems within a standard EHR system. In addition to this, a behavior-pattern based security policy enhancement feature is added to the system to assist the system security administrator. The resulting secure and interoperable medical imaging systems are easy to expand and maintain. Behavior of the entire system is analysed using general- purpose model driven development tool IBM Rational Rhapsody. The code generation and animation capability of the tool makes it powerful for running e ective simulations. We mainly explore the use of state charts and their interactions with MySQL database to learn the behavior of the system.","abstract_has_math":false,"creators":["Kurlakose, Krupa Anna"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Sartipi, Kamran"],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-12-01","date_published":"2013-12-01","updated_at":"2026-07-24T05:35:22Z","subjects":["Access control","PACS","DI-r","OpenID","OAuth"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/375","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Sartipi, Kamran"]},{"key":"dc:creator","label":"Author","values":["Kurlakose, Krupa Anna"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-01-03T16:30:10Z","2022-03-25T19:02:49Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-01-03T16:30:10Z","2022-03-25T19:02:49Z"]},{"key":"dc:date.issued","label":"Date","values":["2013-12-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Access control","PACS","DI-r","OpenID","OAuth"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/375"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Recent developments in information and communication technologies and their incor- poration into the medical domain have opened doors for the enhancement of health care services and thereby increasing the work ow at a reasonable rate. However, to implement such services, current medical system needs to be exible enough to support integration with other systems. This integration should be achieved in a secure manner and the resultant service should be made available to all health professionals and patients. This thesis proposes a new infrastructure for secure medical image sharing between legacy PACS and DI-r. The solution employs OpenID standard for user authentication, OAuth service to grant authorization and IHE XDS-I pro les to store and retrieve medical im- ages and associated meta data. In the proposed infrastructure cooperative agents are employed to provide a user action, patient consent and system policy based access con- trol mechanism to securely share medical images. This allows safe integration of PACS and DI-r systems within a standard EHR system. In addition to this, a behavior-pattern based security policy enhancement feature is added to the system to assist the system security administrator. The resulting secure and interoperable medical imaging systems are easy to expand and maintain. Behavior of the entire system is analysed using general- purpose model driven development tool IBM Rational Rhapsody. The code generation and animation capability of the tool makes it powerful for running e ective simulations. We mainly explore the use of state charts and their interactions with MySQL database to learn the behavior of the system."]},{"key":"dc:title","label":"Title","values":["Infrastructure for secure medical image sharing between distributed PACS and DI-r systems."]}]}],"canonical_facts":{"dc:contributor.advisor":["Sartipi, Kamran"],"dc:creator":["Kurlakose, Krupa Anna"],"dc:date.accessioned":["2014-01-03T16:30:10Z","2022-03-25T19:02:49Z"],"dc:date.available":["2014-01-03T16:30:10Z","2022-03-25T19:02:49Z"],"dc:date.issued":["2013-12-01"],"dc:description.abstract":["Recent developments in information and communication technologies and their incor- poration into the medical domain have opened doors for the enhancement of health care services and thereby increasing the work ow at a reasonable rate. However, to implement such services, current medical system needs to be exible enough to support integration with other systems. This integration should be achieved in a secure manner and the resultant service should be made available to all health professionals and patients. This thesis proposes a new infrastructure for secure medical image sharing between legacy PACS and DI-r. The solution employs OpenID standard for user authentication, OAuth service to grant authorization and IHE XDS-I pro les to store and retrieve medical im- ages and associated meta data. In the proposed infrastructure cooperative agents are employed to provide a user action, patient consent and system policy based access con- trol mechanism to securely share medical images. This allows safe integration of PACS and DI-r systems within a standard EHR system. In addition to this, a behavior-pattern based security policy enhancement feature is added to the system to assist the system security administrator. The resulting secure and interoperable medical imaging systems are easy to expand and maintain. Behavior of the entire system is analysed using general- purpose model driven development tool IBM Rational Rhapsody. The code generation and animation capability of the tool makes it powerful for running e ective simulations. We mainly explore the use of state charts and their interactions with MySQL database to learn the behavior of the system."],"dc:identifier.uri":["https://hdl.handle.net/10155/375"],"dc:language.iso":["en"],"dc:subject":["Access control","PACS","DI-r","OpenID","OAuth"],"dc:title":["Infrastructure for secure medical image sharing between distributed PACS and DI-r systems."],"dc:type":["Thesis"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:22Z"}