2014
DOI: 10.1007/978-3-319-10404-1_53
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An Augmented Reality Framework for Soft Tissue Surgery

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Cited by 27 publications
(13 citation statements)
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“…This enabled estimation and compensation of tissue motion even when outside of the camera's FOV. Based on this work, Mountney and Yang [109] implemented an AR framework for soft tissue surgery that used intra-operative cone beam CT and fluoroscopy as bridging modalities to register pre-operative CT images to stereo laparoscopic images through non-rigid biomechanically driven registration. In this way, manual alignment or fiducial markers were not required and tissue deformation caused by insufflation and respiration during MIS was taken into account.…”
Section: Registrationmentioning
confidence: 99%
“…This enabled estimation and compensation of tissue motion even when outside of the camera's FOV. Based on this work, Mountney and Yang [109] implemented an AR framework for soft tissue surgery that used intra-operative cone beam CT and fluoroscopy as bridging modalities to register pre-operative CT images to stereo laparoscopic images through non-rigid biomechanically driven registration. In this way, manual alignment or fiducial markers were not required and tissue deformation caused by insufflation and respiration during MIS was taken into account.…”
Section: Registrationmentioning
confidence: 99%
“…Several authors, 6,7 have examined using intra-operatively digitised surfaces to drive biomechanical model based deformation of the liver. Mountney et al 8 propose using intra-operative cone beam CT to drive a biomechanically informed non rigid registration. They further refine the registration using intra-operative landmarks acquired using simultaneous localisation and mapping (SLAM).…”
Section: Introductionmentioning
confidence: 99%
“…Research indicated that improved quality of registration and model alignments was achievable and could be used to expand applications in intraoperative planning and image guidance [28]. …”
Section: Applications Of Vr Ar and Mr In Urologymentioning
confidence: 99%