First Deployments of Augmented Reality in Operating Rooms

Navab, Nassir; Blum, Tobias; Wang, Lejing; Okur, Asli; Wendler, Thomas

doi:10.1109/mc.2012.75

Cited by 91 publications

(43 citation statements)

References 12 publications

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“…10 Although this option requires additional scanning with the g probe during surgery, it may help further minimize possible navigation errors due to patient deformation in the future. To compensate for in-depth tissue deformation during surgery this approach may also be combined with guide wires or marker seeds, for example.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of Intraoperative Navigation to the Sentinel Node in the Groin Using Preoperatively Acquired Single Photon Emission Computerized Tomography Data: Transferring Functional Imaging to the Operating Room

et al. 2014

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To our knowledge this is the first study demonstrating the feasibility of intraoperative navigation based on preoperatively acquired 3-dimensional single photon emission computerized tomography/computerized tomography images. Although confirmation of successful target localization (eg using γ tracing or fluorescence imaging) remains indispensable, this opens the way to translate 3-dimensional functional imaging data to the operating room.

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Section: Discussionmentioning

confidence: 99%

Feasibility of Intraoperative Navigation to the Sentinel Node in the Groin Using Preoperatively Acquired Single Photon Emission Computerized Tomography Data: Transferring Functional Imaging to the Operating Room

et al. 2014

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“…The freehand-SPECT technology, which is based on realtime tracking of both the patient and a g-probe, enables the generation of intraoperative 3D SPECT data that can be viewed in augmented or virtual reality (i.e., mixed reality) as an improvement over 2D imaging (19). Alternatively, virtual reality images can be generated using segmentation of SPECT scans (Fig.…”

Section: Translation Of the Preoperatively Acquired Imaging Data To Tmentioning

confidence: 99%

Sentinel Lymph Node Biopsy for Prostate Cancer: A Hybrid Approach

et al. 2013

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To provide surgeons with optimal guidance during interventions, it is crucial that the molecular imaging data generated in the diagnostic departments finds its way to the operating room. Sentinel lymph node (SLN) biopsy provides a textbook example in which molecular imaging data acquired in the department of nuclear medicine guides the surgical management of patients. For prostate cancer, in which SLNs are generally located deep in the pelvis, procedures are preferably performed via a (robotassisted) laparoscopic approach. Unfortunately, in the laparoscopic setting the senses of the surgeon are reduced. This topical review discusses technologic innovations that can help improve surgical guidance during SLN biopsy procedures. Metastasis in pelvic lymph nodes (LNs) is considered an important prognostic factor in prostate cancer. Prostatespecific antigen levels, pathologic stage, and Gleason score are predictors for LN involvement; the higher these factors are, the greater is the chance of nodal involvement. Postoperative (histo)pathologic examination of tissue samples obtained during (extended) pelvic lymphadenectomy is considered the gold standard in assessing metastatic spread. With an increasing LN dissection template, the prognosis of both N0 and N1 groups increases (Will Rogers phenomenon). Unfortunately, (extended) pelvic lymphadenectomy also increases the chance of postoperative complications such as lymphoceles, injuries to the obturator nerve or the ureter, and lymphedema of the lower extremity. Such complications can lead to a decrease in the patient's quality of life.Sentinel LN (SLN) biopsy focuses on the identification, subsequent minimally invasive excision, and pathologic and histopathologic evaluation of the LNs that drain directly from the primary tumor. Assuming the orderly spread of tumor cells through the lymphatic system, SLN biopsy can be used for LN staging. After staging, therapeutic follow-up can be decided on.The potential of SLN biopsy for detecting LN metastasis has been validated in several studies. The Augsburg group validated the SLN biopsy procedure in more than 2,000 patients with prostate cancer and reported a high sensitivity and an overall false-negative rate of 5.9% (1). Moreover, SLN biopsy allows the identification of SLNs outside the pelvic lymphadenectomy field (2-4). Recently, Joniau et al. showed that 44% of SLNs were located outside the extended pelvic lymphadenectomy field; in 6% of patients, a positive LN was located exclusively in the presacral or paraaortic region (2).Ideally, a surgeon is able to identify and excise the preoperatively identified SLNs in a minimally invasive manner, with a high sensitivity and specificity. This topical review discusses technologic improvements that may help improve the different aspects involved in (robot-assisted) laparoscopic SLN biopsy for prostate cancer; SLN biopsy for the prostate is often performed in combination with laparoscopic radical prostatectomy. Potential improvements can be found in (hybrid) tracers that are radioacti...

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“…Navigation is another large application domain, where AR displays can direct users to their destinations or provide additional information about landmarks (Narzt et al 2006;Dunser et al 2012). Numerous other AR applications have been developed for areas as diverse as archaeology (Eve 2012), car design (Noelle 2002), gaming (Mueller et al 2003), medicine (Navab et al 2012), and tourism (Bartie and Mackaness 2006).…”

Section: Introductionmentioning

confidence: 99%

Intelligent Augmented Reality Training for Motherboard Assembly

Westerfield

Mitrović

Billinghurst

2014

Int J Artif Intell Educ

206

110

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We investigate the combination of Augmented Reality (AR) with Intelligent Tutoring Systems (ITS) to assist with training for manual assembly tasks. Our approach combines AR graphics with adaptive guidance from the ITS to provide a more effective learning experience. We have developed a modular software framework for intelligent AR training systems, and a prototype based on this framework that teaches novice users how to assemble a computer motherboard. An evaluation found that our intelligent AR system improved test scores by 25 % and that task performance was 30 % faster compared to the same AR training system without intelligent support. We conclude that using an intelligent AR tutor can significantly improve learning compared to more traditional AR training.

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First Deployments of Augmented Reality in Operating Rooms

Cited by 91 publications

References 12 publications

Feasibility of Intraoperative Navigation to the Sentinel Node in the Groin Using Preoperatively Acquired Single Photon Emission Computerized Tomography Data: Transferring Functional Imaging to the Operating Room

Feasibility of Intraoperative Navigation to the Sentinel Node in the Groin Using Preoperatively Acquired Single Photon Emission Computerized Tomography Data: Transferring Functional Imaging to the Operating Room

Sentinel Lymph Node Biopsy for Prostate Cancer: A Hybrid Approach

Intelligent Augmented Reality Training for Motherboard Assembly

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