Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105572
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Cheema, MN | - |
dc.creator | Nazir, A | - |
dc.creator | Sheng, B | - |
dc.creator | Li, P | - |
dc.creator | Qin, J | - |
dc.creator | Kim, J | - |
dc.creator | Feng, DD | - |
dc.date.accessioned | 2024-04-15T07:35:07Z | - |
dc.date.available | 2024-04-15T07:35:07Z | - |
dc.identifier.issn | 0018-9294 | - |
dc.identifier.uri | http://hdl.handle.net/10397/105572 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication M. N. Cheema et al., "Image-Aligned Dynamic Liver Reconstruction Using Intra-Operative Field of Views for Minimal Invasive Surgery," in IEEE Transactions on Biomedical Engineering, vol. 66, no. 8, pp. 2163-2173, Aug. 2019 is available at https://doi.org/10.1109/TBME.2018.2884319. | en_US |
dc.subject | 3D reconstruction | en_US |
dc.subject | Field of view | en_US |
dc.subject | Keypoint mesh | en_US |
dc.subject | Liver deformation | en_US |
dc.subject | Minimal invasive surgery | en_US |
dc.title | Image-aligned dynamic liver reconstruction using intra-operative field of views for minimal invasive surgery | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 2163 | - |
dc.identifier.epage | 2173 | - |
dc.identifier.volume | 66 | - |
dc.identifier.issue | 8 | - |
dc.identifier.doi | 10.1109/TBME.2018.2884319 | - |
dcterms.abstract | During hepatic minimal invasive surgery (MIS), 3-D reconstruction of a liver surface by interpreting the geometry of its soft tissues is achieving attractions. One of the major issues to be addressed in MIS is liver deformation. Moreover, it severely inhibits free sight and dexterity of tissue manipulation, which causes its intra-operative morphology and soft tissue motion altered as compared to its pre-operative shape. While many applications focus on 3-D reconstruction of rigid or semi-rigid scenes, the techniques applied in hepatic MIS must be able to cope with a dynamic and deformable environment. We propose an efficient technique for liver surface reconstruction based on the structure from motion to handle liver deformation. The reconstructed liver will assist surgeons to visualize liver surface more efficiently with better depth perception. We use the intra-operative field of views to generate 3-D template mesh from a dense keypoint cloud. We estimate liver deformation by finding best correspondence between 3-D templates and reconstruct a liver image to calculate translation and rotational motions. Our technique then finely tunes deformed surface by adding smoothness using shading cues. Up till now, this technique is not used for solving the human liver deformation problem. Our approach is tested and validated with synthetic as well as real in vivo data, which reveal that the reconstruction accuracy can be enhanced using our approach even in challenging laparoscopic environments. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on biomedical engineering, Aug. 2019, v. 66, no. 8, p. 2163-2173 | - |
dcterms.isPartOf | IEEE transactions on biomedical engineering | - |
dcterms.issued | 2019-08 | - |
dc.identifier.scopus | 2-s2.0-85057838315 | - |
dc.identifier.pmid | 30507524 | - |
dc.identifier.eissn | 1558-2531 | - |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-0542 | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; National Key Research and Development Program of China; Macau Science and Technology Development Fund; Science and Technology Commission of Shanghai Municipality | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 21851173 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Li_Image-Aligned_Dynamic_Liver.pdf | Pre-Published version | 4.08 MB | Adobe PDF | View/Open |
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