Blood vessel segmentation algorithms—review of methods, datasets and evaluation metrics

S Moccia, E De Momi, S El Hadji, LS Mattos - Computer methods and …, 2018 - Elsevier
Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …

Brain shift in neuronavigation of brain tumors: A review

IJ Gerard, M Kersten-Oertel, K Petrecca, D Sirhan… - Medical image …, 2017 - Elsevier
Purpose: Neuronavigation based on preoperative imaging data is a ubiquitous tool for
image guidance in neurosurgery. However, it is rendered unreliable when brain shift …

Vessel segmentation using multiscale vessel enhancement and a region based level set model

J Yang, C Lou, J Fu, C Feng - Computerized Medical Imaging and …, 2020 - Elsevier
Vessel segmentation has always been a considerable challenge task due to the presence of
varying thickness of the vessels and weak contrasts of medical image intensities. In this …

Robust deep 3D blood vessel segmentation using structural priors

X Li, R Bala, V Monga - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
Deep learning has enabled significant improvements in the accuracy of 3D blood vessel
segmentation. Open challenges remain in scenarios where labeled 3D segmentation maps …

Automated steerable path planning for deep brain stimulation safeguarding fiber tracts and deep gray matter nuclei

A Segato, V Pieri, A Favaro, M Riva, A Falini… - Frontiers in Robotics …, 2019 - frontiersin.org
Deep Brain Stimulation (DBS) is a neurosurgical procedure consisting in the stereotactic
implantation of stimulation electrodes to specific brain targets, such as deep gray matter …

Correlated noise in brain magnetic resonance elastography

AJ Hannum, G McIlvain, D Sowinski… - Magnetic resonance …, 2022 - Wiley Online Library
Purpose Magnetic resonance elastography (MRE) uses phase‐contrast MRI to generate
mechanical property maps of the in vivo brain through imaging of tissue deformation from …

Long term safety area tracking (LT-SAT) with online failure detection and recovery for robotic minimally invasive surgery

V Penza, X Du, D Stoyanov, A Forgione, LS Mattos… - Medical image …, 2018 - Elsevier
Despite the benefits introduced by robotic systems in abdominal Minimally Invasive Surgery
(MIS), major complications can still affect the outcome of the procedure, such as intra …

EnViSoRS: Enhanced vision system for robotic surgery. A user-defined safety volume tracking to minimize the risk of intraoperative bleeding

V Penza, E De Momi, N Enayati, T Chupin… - Frontiers in Robotics …, 2017 - frontiersin.org
In abdominal surgery, intraoperative bleeding is one of the major complications that affect
the outcome of minimally invasive surgical procedures. One of the causes is attributed to …

Micromotion Derived Fluid Shear Stress Mediates Peri‐Electrode Gliosis through Mechanosensitive Ion Channels

A Trotier, E Bagnoli, T Walski, J Evers… - Advanced …, 2023 - Wiley Online Library
The development of bioelectronic neural implant technologies has advanced significantly
over the past 5 years, particularly in brain–machine interfaces and electronic medicine …

Development and evaluation of a “trackerless” surgical planning and guidance system based on 3D Slicer

X Yang, S Narasimhan, M Luo… - Journal of Medical …, 2019 - spiedigitallibrary.org
Conventional optical tracking systems use cameras sensitive to near-infrared (NIR) light and
NIR illuminated/active-illuminating markers to localize instrumentation and the patient in the …