AIMC Topic: Neuroendoscopy
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Brain activation in parietal area during manipulation with a surgical robot simulator.
International journal of computer assisted radiology and surgery
Apr 7, 2015
PURPOSE: we present an evaluation method to qualify the embodiment caused by the physical difference between master-slave surgical robots by measuring the activation of the intraparietal sulcus in the user's brain activity during surgical robot manip...
Image-based detection of the internal carotid arteries and sella turcica in endoscopic endonasal transsphenoidal surgery.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: Endoscopic endonasal transsphenoidal surgery (EETS) is a minimally invasive procedure that accesses the sellar and parasellar regions. Various anatomical structures must be identified during the operation, particularly the sella turcica an...
Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance.
IEEE transactions on bio-medical engineering
Jul 1, 2025
OBJECTIVE: Transventricular approach to deep-brain targets offers direct visualization but also imparts deformation that challenges accurate neuronavigation. 3D reconstruction and registration of the endoscopic view could provide up-to-date, real-tim...
Incorporating New Technologies to Overcome the Limitations of Endoscopic Spine Surgery: Navigation, Robotics, and Visualization.
World neurosurgery
Jan 1, 2021
Recently, spine surgery has gradually evolved from conventional open surgery to minimally invasive surgery, and endoscopic spine surgery (ESS) has become an important procedure in minimally invasive spine surgery. With improvements in the optics, spi...
Machine learning-based prediction of outcomes of the endoscopic endonasal approach in Cushing disease: is the future coming?
Neurosurgical focus
Jun 1, 2020
OBJECTIVE: Machine learning (ML) is an innovative method to analyze large and complex data sets. The aim of this study was to evaluate the use of ML to identify predictors of early postsurgical and long-term outcomes in patients treated for Cushing d...
Utility of deep neural networks in predicting gross-total resection after transsphenoidal surgery for pituitary adenoma: a pilot study.
Neurosurgical focus
Nov 1, 2018
OBJECTIVEGross-total resection (GTR) is often the primary surgical goal in transsphenoidal surgery for pituitary adenoma. Existing classifications are effective at predicting GTR but are often hampered by limited discriminatory ability in moderate ca...
Endoscopic endonasal transsphenoidal surgery using the iArmS operation support robot: initial experience in 43 patients.
Neurosurgical focus
May 1, 2017
Objective The intelligent arm-support system, iArmS, which follows the surgeon's arm and automatically fixes it at an adequate position, was developed as an operation support robot. iArmS was designed to support the surgeon's forearm to prevent hand ...
An experimental feasibility study on robotic endonasal telesurgery.
Neurosurgery
Apr 1, 2015
BACKGROUND: Novel robots have recently been developed specifically for endonasal surgery. They can deliver several thin, tentacle-like surgical instruments through a single nostril. Among the many potential advantages of such a robotic system is the ...
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