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https://ptsldigital.ukm.my/jspui/handle/123456789/513351Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Haslina Arshad, Prof. Dr. | |
| dc.contributor.author | Hameedur Rahman (P72356) | |
| dc.date.accessioned | 2023-10-16T04:35:47Z | - |
| dc.date.available | 2023-10-16T04:35:47Z | - |
| dc.date.issued | 2018-02-06 | |
| dc.identifier.other | ukmvital:119635 | |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/513351 | - |
| dc.description | The increasing rate of breast cancer is alarming with a very high count in most countries and in Malaysia 1 out of 19 women is at risk of getting breast cancer. A very high false positive rate that occurs while the routine examination takes place makes the diagnosis worst. This is partly caused by the lack of tumor visualization. Medical AR makes it possible to visualize the virtual model on its precise position and in its proper size, respective to the real model. Exact localization of the tumors and a high degree of accuracy is a still a concern in medical augmented reality visualization process. An Augmented Reality visualization guidance has become the method of choice for researchers, yet this AR tumor visualization has limitation to the extent of just superimposing the 3D Imaging Data but it still has problems of occlusion and depth perception. Therefore, this study is aimed at developing the visualization techniques using breast cancer 3D data to test the accuracy of the techniques in regard to occlusion and depth perception. Fusion technology of XRay and Focus+Context visualization technique are introduced to accurately visualize 3D multiple tumor (AR-XFC) inside the phantom for augmented reality breast cancer 3D visualization. The virtual 3D breast cancers model has been enhanced by giving measurement values which are the cancer position and the layers. The AR-XFC Visualization technique is to not only see through the skin of the phantom but also to solve the problem of occlusion and depth perception. This mobile AR visualization technique will initially acquire the 2D image from MRI and process the medical images into 3D slices. Then it will purify these 3D grayscale slices into 3D breast cancer model using 3D modeling reconstruction technique. The 3D data set is implemented in XRay visualization technique but the depth perception problem has not been solved. The Focus+Context visualization technique was also tested with the 3D data set and has solved the depth perception but still cannot solve the occlusion problem. To evaluate the proposed technique, breast phantom US-9 has been used which has 12 tumors in different sizes and categorized in 3 different levels. AR-XFC technique was implemented on a mobile AR visualization application where the final composition of the breast cancer is displayed on handheld device with top angle and side angle view. 32 participants have been selected to test the application based on Augmented Reality and MRI or biopsy knowledge. These participants have successfully locate multiple tumor through the skin of the phantom and also identified the depth of the multiple cancers and no occlusion were found. The technique has an accuracy of 87.85% compared to the other visualization techniques in showing the 3D tumor visualization with depth perception and no occlusion. The technique is perceived as an improved visualization because the AR-XFC visualization allowed direct understanding of the breast cancer beyond the visible surface and direct measurement guidance towards accurate cancer visualization and can be used in medical application such as the biopsy procedures.,Ph.D. | |
| dc.language.iso | eng | |
| dc.publisher | UKM, Bangi | |
| dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
| dc.rights | UKM | |
| dc.subject | Augmented reality | |
| dc.subject | Diagnostic imaging | |
| dc.subject | Imaging systems in medicine | |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | |
| dc.title | 3D breast cancer visualization using fusion technique and augmented reality | |
| dc.type | Theses | |
| dc.format.pages | 164 | |
| dc.identifier.callno | QA76.9.A94R335 2018 3 tesis | |
| dc.identifier.barcode | 004042(2019) | |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_119635+SOURCE1+SOURCE1.0.PDF Restricted Access | 3.58 MB | Adobe PDF |  View/Open |
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