An Augmented Reality Application for Visualizing Anatomical Data
| dc.contributor.advisor | Kakadiaris, Ioannis A. | |
| dc.contributor.committeeMember | Deng, Zhigang | |
| dc.contributor.committeeMember | Nikou, Christophoros | |
| dc.creator | Islam, Mohammad Mainul 1985- | |
| dc.date.accessioned | 2019-09-14T01:11:11Z | |
| dc.date.available | 2019-09-14T01:11:11Z | |
| dc.date.created | May 2017 | |
| dc.date.issued | 2017-05 | |
| dc.date.submitted | May 2017 | |
| dc.date.updated | 2019-09-14T01:11:11Z | |
| dc.description.abstract | Augmented Reality can be useful in medical science because the visualization of a patient's internal structure is important for planning an intervention. Traditional display technologies present images collected from CT, MRI or ultrasound on 2D screens. However, aligning those images to a patient's body helps physicians decide the target of the intervention. In this thesis, an iPad application is proposed, which overlays 3D models of a patient's organs acquired using MRI scan in real-time video. The process is divided into two parts: 1) 3D registration and 2) tracking. The registration consists of acquiring the 3D structure of patient's torso using a depth sensor and overlaying pre-operative 3D models in real-time video. This is accomplished by a 3D point-to-point registration using the Iterative Closest Point algorithm. The tracking keeps the 3D models aligned on the patient's body by detecting the camera's pose. This is accomplished by using a technique called Simultaneous Localization and Mapping, which maps the environment and estimates the camera pose continuously. Registration accuracy is measured based on a study of eight different users of the application. The possibility of porting the application to a head-mounted display or glasses is also explored. | |
| dc.description.department | Computer Science, Department of | |
| dc.format.digitalOrigin | born digital | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | https://hdl.handle.net/10657/4567 | |
| dc.language.iso | eng | |
| dc.rights | The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s). | |
| dc.subject | Medical visualization | |
| dc.subject | Augmented reality | |
| dc.subject | Depth sensor | |
| dc.subject | Image registration | |
| dc.subject | Medical imaging | |
| dc.subject | Iterative Closest Point | |
| dc.subject | Simultaneous Localization and Mapping | |
| dc.subject | Camera Pose | |
| dc.title | An Augmented Reality Application for Visualizing Anatomical Data | |
| dc.type.dcmi | Text | |
| dc.type.genre | Thesis | |
| thesis.degree.college | College of Natural Sciences and Mathematics | |
| thesis.degree.department | Computer Science, Department of | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | University of Houston | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science |