Simulation of real-time deformable soft tissues for computer assisted surgery

2004 ◽  
Vol 1 (1) ◽  
pp. 107-113 ◽  
Author(s):  
A Frisoli ◽  
L F Borelli ◽  
C Stasi ◽  
M Bellini ◽  
C Bianchi ◽  
...  
Keyword(s):  
Real Time ◽  
Soft Tissues ◽  
Computer Assisted Surgery ◽  
Computer Assisted

Simulation of real-time deformable soft tissues for computer assisted surgery

2004 ◽  
Vol 01 (01) ◽  
pp. 107
Author(s):  
Antonio Frisoli ◽  
Luigi Borelli ◽  
Cristina Stasi ◽  
Massimo Bellini ◽  
Chiara Evangelista ◽  
...  
Keyword(s):  
Real Time ◽  
Soft Tissues ◽  
Computer Assisted Surgery ◽  
Computer Assisted

scholarly journals ClipAssistNet: bringing real-time safety feedback to operating rooms

2021 ◽  
Author(s):  
Florian Aspart ◽  
Jon L. Bolmgren ◽  
Joël L. Lavanchy ◽  
Guido Beldi ◽  
Michael S. Woods ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Laparoscopic Cholecystectomy ◽  
Real Time ◽  
Cystic Duct ◽  
Computer Assisted Surgery ◽  
Computer Assisted ◽  
Embedded Computing ◽  
Test Set ◽  
Critical Phase

Abstract Purpose Cholecystectomy is one of the most common laparoscopic procedures. A critical phase of laparoscopic cholecystectomy consists in clipping the cystic duct and artery before cutting them. Surgeons can improve the clipping safety by ensuring full visibility of the clipper, while enclosing the artery or the duct with the clip applier jaws. This can prevent unintentional interaction with neighboring tissues or clip misplacement. In this article, we present a novel real-time feedback to ensure safe visibility of the instrument during this critical phase. This feedback incites surgeons to keep the tip of their clip applier visible while operating. Methods We present a new dataset of 300 laparoscopic cholecystectomy videos with frame-wise annotation of clipper tip visibility. We further present ClipAssistNet, a neural network-based image classifier which detects the clipper tip visibility in single frames. ClipAssistNet ensembles predictions from 5 neural networks trained on different subsets of the dataset. Results Our model learns to classify the clipper tip visibility by detecting its presence in the image. Measured on a separate test set, ClipAssistNet classifies the clipper tip visibility with an AUROC of 0.9107, and 66.15% specificity at 95% sensitivity. Additionally, it can perform real-time inference (16 FPS) on an embedded computing board; this enables its deployment in operating room settings. Conclusion This work presents a new application of computer-assisted surgery for laparoscopic cholecystectomy, namely real-time feedback on adequate visibility of the clip applier. We believe this feedback can increase surgeons’ attentiveness when departing from safe visibility during the critical clipping of the cystic duct and artery.

scholarly journals Near Real-Time Computer Assisted Surgery for Brain Shift Correction Using Biomechanical Models

2014 ◽  
Vol 2 ◽  
pp. 1-13 ◽  
Author(s):  
Kay Sun ◽  
Thomas S. Pheiffer ◽  
Amber L. Simpson ◽  
Jared A. Weis ◽  
Reid C. Thompson ◽  
...  
Keyword(s):  
Real Time ◽  
Computer Assisted Surgery ◽  
Computer Assisted ◽  
Brain Shift ◽  
Biomechanical Models

A System for Visualizing and Assessing Electromagnetic Tracking Error during Computer-­‐assisted Surgery

2018 ◽  
Author(s):  
Vinyas Harish
Keyword(s):  
Open Source ◽  
Real Time ◽  
Random Noise ◽  
Tracking Error ◽  
Computer Assisted Surgery ◽  
Ground Truth ◽  
Optical Tracking ◽  
Computer Assisted ◽  
Electromagnetic Tracking ◽  
Surgical Equipment

PURPOSE: Electromagnetic tracking is used in image-­‐guided interventions to monitor the position of surgical equipment. However, it is prone to error. During navigation procedures, the measurement and visualization of error should take place to ensure precision and accuracy. Our goal was to extend open-­‐source software such that no programming from the user is needed for error monitoring.   METHODS: The electromagnetic tracking error was defined as the difference in position readings of a surgical stylus that was optically and electromagnetically tracked. The optical tracking reading was considered ground truth as it is unaffected by metal objects. The stylus was moved freehandedly within a region of interest to quickly sample electromagnetic tracking error, including error caused by field-­‐distortion inducing ferromagnetic materials and random noise. All tracked devices were used in a plug-­‐and-­‐play manner. Measurements were visualized in real-­‐time in 3D Slicer, an open-­‐ source platform for medical image computing (www.slicer.org).   RESULTS: To determine the reproducibility of the data collected by our system, the tracking error was measured in regions of interest representing a surgeon’s workspace. Tests were done with and without metal objects placed in the workspace. A quick freehand sampling procedure was sufficient to detect error. Freehand measurements within a controlled environment reported distortion values of 1.16 mm (STD 0.71 mm). Measurements taken with a metal rod and parts from a surgical retractor kit were 4.27 mm (STD 2.92 mm) and 8.26 mm (STD 2.08 mm), respectively.   CONCLUSION: Our system shows promise for the real-­‐time visualization of electromagnetic tracking error during computer-­‐assisted surgical procedures

scholarly journals Computer-assisted surgery and navigation in foot and ankle: state of the art and fields of application

2021 ◽  
Vol 6 (7) ◽  
pp. 531-538
Author(s):  
Halah Kutaish ◽  
Antoine Acker ◽  
Lisca Drittenbass ◽  
Richard Stern ◽  
Mathieu Assal
Keyword(s):  
Real Time ◽  
Intraoperative Imaging ◽  
Computer Assisted Surgery ◽  
Guidance System ◽  
Computer Assisted ◽  
Foot And Ankle ◽  
Complex Anatomy ◽  
Ankle Surgery ◽  
Wide Range ◽  
Computer Assisted Orthopaedic Surgery

Computer-assisted orthopaedic surgery (CAOS) is a real-time navigation guidance system that supports surgeons intraoperatively. Its use is reported to increase precision and facilitate less-invasive surgery. Advanced intraoperative imaging helps confirm that the initial aim of surgery has been achieved and allows for immediate adjustment when required. The complex anatomy of the foot and ankle, and the associated wide range of challenging procedures should benefit from the use of CAOS; however, reports on the topic are scarce. This article explores the fields of applications of real-time navigation and CAOS in foot and ankle surgery. Cite this article: EFORT Open Rev 2021;6:531-538. DOI: 10.1302/2058-5241.6.200024

scholarly journals Extending MITK by a real-time online video overlay navigation system for minimally invasive surgery

2010 ◽  
Author(s):  
Matthias Keil ◽  
Matthias Noll
Keyword(s):  
Minimally Invasive Surgery ◽  
Real Time ◽  
Navigation System ◽  
Tumor Model ◽  
Computer Assisted Surgery ◽  
Computer Assisted ◽  
Online Video ◽  
Electromagnetic Tracking ◽  
Position And Orientation

The purpose of this paper is to present our extension of the MITK toolkit by a real-time navigation system for computer assisted surgery. The system was developed with laparoscopic partial nephrectomies as a first application scenario. The main goal of the application is to enable tracking of the tumor position and orientation during surgery. Our system is based on ultrasound to CT registration and electromagnetic tracking. The basic idea is to process tracking information to generate an augmented reality (AR) visualization of a tumor model in the camera image of a laparoscopic camera. Our system will enhance the surgeon’s view on the current scene and therefore facilitates higher safety during the surgery. A key intention of the development was to use only open source toolkits such as VTK, MITK and OpenCV in order to implement the desired functionality. So far we have applied our system in vitro in two phantom trials with a surgeon which yielded promising results.

Ambulatory Assessment

2009 ◽  
Vol 14 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Ulrich W. Ebner-Priemer ◽  
Timothy J. Trull
Keyword(s):  
Real Time ◽  
Clinical Psychology ◽  
Real Life ◽  
Ambulatory Assessment ◽  
Computer Assisted ◽  
Affective Valence ◽  
Time Data ◽  
Physiological Processes ◽  
Context Specific ◽  
Questionnaire Studies

Convergent experimental data, autobiographical studies, and investigations on daily life have all demonstrated that gathering information retrospectively is a highly dubious methodology. Retrospection is subject to multiple systematic distortions (i.e., affective valence effect, mood congruent memory effect, duration neglect; peak end rule) as it is based on (often biased) storage and recollection of memories of the original experience or the behavior that are of interest. The method of choice to circumvent these biases is the use of electronic diaries to collect self-reported symptoms, behaviors, or physiological processes in real time. Different terms have been used for this kind of methodology: ambulatory assessment, ecological momentary assessment, experience sampling method, and real-time data capture. Even though the terms differ, they have in common the use of computer-assisted methodology to assess self-reported symptoms, behaviors, or physiological processes, while the participant undergoes normal daily activities. In this review we discuss the main features and advantages of ambulatory assessment regarding clinical psychology and psychiatry: (a) the use of realtime assessment to circumvent biased recollection, (b) assessment in real life to enhance generalizability, (c) repeated assessment to investigate within person processes, (d) multimodal assessment, including psychological, physiological and behavioral data, (e) the opportunity to assess and investigate context-specific relationships, and (f) the possibility of giving feedback in real time. Using prototypic examples from the literature of clinical psychology and psychiatry, we demonstrate that ambulatory assessment can answer specific research questions better than laboratory or questionnaire studies.

Computer-Assisted Surgery in Craniomaxillofacial Surgery

Skull Base ◽  
2005 ◽  
Vol 15 (S 2) ◽  
Author(s):  
Ralf Gutwald ◽  
R. Schön ◽  
M. Metzger ◽  
C. Zizelmann ◽  
N.-C. Gellrich ◽  
...  
Keyword(s):  
Computer Assisted Surgery ◽  
Computer Assisted ◽  
Craniomaxillofacial Surgery

Accuracy and Practicability of Different Referencing Methods in Computer-Assisted Surgery of the Lateral Skull Base

Skull Base ◽  
2007 ◽  
Vol 16 (04) ◽  
Author(s):  
Klaus Stelter ◽  
Christoph Matthias ◽  
Kathrin Spiegl ◽  
Christian Lübbers ◽  
Andreas Leunig ◽  
...  
Keyword(s):  
Skull Base ◽  
Computer Assisted Surgery ◽  
Computer Assisted ◽  
Lateral Skull Base
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