Performance of image guided navigation in laparoscopic liver surgery–A systematic review

C Schneider, M Allam, D Stoyanov, DJ Hawkes… - Surgical Oncology, 2021 - Elsevier
Background Compared to open surgery, minimally invasive liver resection has improved
short term outcomes. It is however technically more challenging. Navigated image guidance …

Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions

T Vercauteren, M Unberath, N Padoy… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

3-D rigid point set registration for computer-assisted orthopedic surgery (CAOS): A review from the algorithmic perspective

Z Min, A Zhang, Z Zhang, J Wang… - … on Medical Robotics …, 2023 - ieeexplore.ieee.org
is an important problem in computer-assisted orthopedic surgery (CAOS). As one typical
example, the pre-operative space where the patient-specific surgical plan is usually made …

Intraoperative correction of liver deformation using sparse surface and vascular features via linearized iterative boundary reconstruction

JS Heiselman, WR Jarnagin… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
During image guided liver surgery, soft tissue deformation can cause considerable error
when attempting to achieve accurate localization of the surgical anatomy through image-to …

Registration of untracked 2D laparoscopic ultrasound to CT images of the liver using multi-labelled content-based image retrieval

J Ramalhinho, HFJ Tregidgo… - … on Medical Imaging, 2020 - ieeexplore.ieee.org
Laparoscopic Ultrasound (LUS) is recommended as a standard-of-care when performing
laparoscopic liver resections as it images sub-surface structures such as tumours and major …

The overview of the deep learning integrated into the medical imaging of liver: A review

K Xiang, B Jiang, D Shang - Hepatology international, 2021 - Springer
Deep learning (DL) is a recently developed artificial intelligent method that can be integrated
into numerous fields. For the imaging diagnosis of liver disease, several remarkable …

Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT

J Ramalhinho, B Koo, N Montaña-Brown… - International Journal of …, 2022 - Springer
Abstract Purpose The registration of Laparoscopic Ultrasound (LUS) to CT can enhance the
safety of laparoscopic liver surgery by providing the surgeon with awareness on the relative …

Tissue Structure Updating for In Situ Augmented Reality Navigation Using Calibrated Ultrasound and Two-Level Surface Warping

F Chen, X Cui, J Liu, B Han, X Zhang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Objective: In minimally invasive surgery (MIS), in situ augmented reality (AR) navigation
systems are usually implemented using a glasses-free 3D display to represent the …

From Coarse to Fine: Non-Rigid Sparse-Dense Registration for Deformation-Aware Liver Surgical Navigation

P Tu, P Hu, J Wang, X Chen - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Objective: Intraoperative liver deformation poses a considerable challenge during liver
surgery, causing significant errors in image-guided surgical navigation systems. This study …

Advantages and future perspectives of laparoscopic liver surgery

S Heinrich, D Seehofer, F Corvinus, V Tripke, T Huber… - Der Chirurg, 2021 - Springer
Zusammenfassung Hintergrund Die laparoskopische Leberchirurgie (LLC) wird weltweit
zunehmend eingesetzt, da sie einige potenzielle Vorteile gegenüber der offenen Chirurgie …