A collaborative virtual reality environment for liver surgery planning

V Chheang, P Saalfeld, F Joeres, C Boedecker… - Computers & …, 2021 - Elsevier
Surgical planning software is a key component in the treatment of tumor diseases. However,
desktop-based systems provide only limited visualization and interaction opportunities …

[HTML][HTML] Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review

P Horkaew, J Chansangrat… - World Journal of …, 2023 - ncbi.nlm.nih.gov
The earliest and most accurate detection of the pathological manifestations of hepatic
diseases ensures effective treatments and thus positive prognostic outcomes. In clinical …

Liver segmentation in MRI: A fully automatic method based on stochastic partitions

F López-Mir, V Naranjo, J Angulo, M Alcañiz… - Computer methods and …, 2014 - Elsevier
There are few fully automated methods for liver segmentation in magnetic resonance
images (MRI) despite the benefits of this type of acquisition in comparison to other radiology …

[HTML][HTML] Deep learning for fully automated segmentation and volumetry of couinaud liver segments and future liver remnants shown with CT before major hepatectomy …

T Xie, Y Li, Z Lin, X Liu, X Zhang, Y Zhang… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Recent reports have shown the potential for deep learning (DL) models to
automatically segment of Couinaud liver segments and future liver remnant (FLR) for liver …

[HTML][HTML] A novel method for planning liver resections using deformable Bézier surfaces and distance maps

R Palomar, FA Cheikh, B Edwin, Å Fretland… - Computer methods and …, 2017 - Elsevier
Abstract Background and Objective: For more than a decade, computer-assisted surgical
systems have been helping surgeons to plan liver resections. The most widespread …

Functional segmentation for preoperative liver resection based on hepatic vascular networks

DC Le, J Chansangrat, N Keeratibharat… - IEEE Access, 2021 - ieeexplore.ieee.org
Successful liver resection relies on accurate estimation of future liver remnant volume
(FLRV). According to Couinaud's scheme, a liver is composed of eight functionally …

System and method for extracting a region of interest from volume data

NIE Weipin, Y Gao, H Zeng, C Fu, C Wang - US Patent 11,094,066, 2021 - Google Patents
The present disclosure relates to a system and method for extracting a region of interest.
Image data in a first sectional plane may be acquired. The image data in the first sectional …

Virtual Resection Planning using Bezier Surface Interactions in Collaborative VR Environments

V Chheang, R Bruggernann, B Preim… - 2023 IEEE Conference …, 2023 - ieeexplore.ieee.org
The use of virtual reality (VR) has been proposed for collaborative planning or training
scenarios to aid surgeons in preparing surgical interventions. In this paper, we explore the …

Optimizing Surgical Plans for Parenchyma-Sparing Liver Resections through Contour-Guided Resection and Surface Approximation

G d'Albenzio, R Meng, D Aghayan, E Pelanis… - arXiv preprint arXiv …, 2024 - arxiv.org
Objective: This study introduces a novel method for defining virtual resections in liver cancer
surgery, aimed at enhancing the adaptability of parenchyma-sparing resection (PSR) plans …

Subject-Specific prior shape knowledge in feature-oriented probability maps for fully automatized liver segmentation in MR volume data

O Gloger, K Tönnies - Pattern Recognition, 2018 - Elsevier
Liver segmentation and volumetry in native MR-volume data is an important topic in
epidemiological research. Manual liver segmentation is extremely time-consuming and often …