2015
DOI: 10.1007/s11548-015-1179-0
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Force adaptive robotically assisted endomicroscopy for intraoperative tumour identification

Abstract: Purpose: For effective tumour margin definition for cancer surgery, there is an increasing demand for the development of real-time intraoperative tissue biopsy techniques. Recent advances in miniaturized biophotonics probes have permitted the development of endomicroscopy techniques that are clinically attractive. With these approaches, cellular-level imaging can be achieved through millimetre-scale flexible probes, and be performed in real-time, in vivo and in situ. Due to the limited field-of-view and flexib… Show more

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Cited by 23 publications
(20 citation statements)
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“…Coupled with the context of the imaging environment, and real-time methods are necessary Elad et al [66] Mixed L1/L2 optimisation methods to promote sparsity Molina et al [67] Hierarchical variational Bayesian methods to approximate the posterior Pickup et al [68] Integration of registration uncertainty Noonan et al [87] Force adaptive with an embedded 6-axis force/torque sensor (ATI Nano17) Giataganas et al [88] Force-contact probe for integration with surgical robot platforms(da Vinci) Latt et al [89,90] Embedded force sensing into imaging probe Gilbertson et al [91] Incorporate intelligent force control schemes for imaging probe Ang et al [92], Becker et al [93], Maclachlan et al [94] Incorporating tremor cancellation by using piezoelectric actuators combined with visual servoing…”
Section: Instrumentationmentioning
confidence: 99%
See 1 more Smart Citation
“…Coupled with the context of the imaging environment, and real-time methods are necessary Elad et al [66] Mixed L1/L2 optimisation methods to promote sparsity Molina et al [67] Hierarchical variational Bayesian methods to approximate the posterior Pickup et al [68] Integration of registration uncertainty Noonan et al [87] Force adaptive with an embedded 6-axis force/torque sensor (ATI Nano17) Giataganas et al [88] Force-contact probe for integration with surgical robot platforms(da Vinci) Latt et al [89,90] Embedded force sensing into imaging probe Gilbertson et al [91] Incorporate intelligent force control schemes for imaging probe Ang et al [92], Becker et al [93], Maclachlan et al [94] Incorporating tremor cancellation by using piezoelectric actuators combined with visual servoing…”
Section: Instrumentationmentioning
confidence: 99%
“…A force-contact probe for integration with surgical robot platforms such as the da Vinci was developed by Giataganas et al [88]. This paper proposed a force-controlled pick-up probe that can be integrated with the Da Vinci instruments for intraoperative endomicroscopy imaging.…”
Section: Force Control Systemsmentioning
confidence: 99%
“…Future work to ascertain the appropriate balance between magnification and field of view is required in order to optimize the economy of movement for intraoperative cavity assessment whilst minimizing the impact on pCLE image interpretation. Additionally, devising a pCLE probe movement pathway to facilitate time-optimized assessment of cavity walls may be required to prevent surgeons' fatigue arising from excessive probe micromanipulations and this may require collaborative efforts from the integration of robotic technology with pCLE [47][48][49][50]. Whilst cavity wall scanning would be the 'ideal' intraoperative assessment, we envisaged that the next crucial step in clinical translation would be focused on initial application and assessment of feasibility of in vivo in situ robotic-assisted, real-time pCLE imaging on localized and quadrant-based image acquisition of cavity wall margins guided by intraoperative clinical suspicion or specimen radiography.…”
Section: Image Interpretation Assessmentmentioning
confidence: 99%
“…Recent efforts have focused on developing robotically actuated tools to achieve intraoperative multimodal fusion. For instance, endomicroscopy and ultrasound imaging have been combined in order to scan large areas of tissue in real time and perform 3D reconstruction of complex structures during an intervention 101 102…”
Section: Imagingmentioning
confidence: 99%