Label cleaning and propagation for improved segmentation performance using fully convolutional networks
ConclusionThis paper presented a validation for label cleaning and propagation based on FCNs. FCNs might have the potential to achieve improved segmentation performances even from sparse annotation data including possible noises by manual annotation, which can be an important clue to more efficient annotation. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 3, 2021 Category: Intensive Care Source Type: research

Dental disease detection on periapical radiographs based on deep convolutional neural networks
AbstractObjectivesIt is with a great prospect to develop an auxiliary diagnosis system for dental periapical radiographs based on deep convolutional neural networks (CNNs), and the indications and performances should be investigated. The aim of this study is to train CNNs for lesion detections on dental periapical radiographs, to evaluate performances across disease categories, severity levels, and train strategies.MethodsDeep CNNs with region proposal techniques were constructed for disease detections on clinical dental periapical radiographs, including decay, periapical periodontitis, and periodontitis, leveled as mild, ...
Source: International Journal of Computer Assisted Radiology and Surgery - March 2, 2021 Category: Intensive Care Source Type: research

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification
ConclusionsWe demonstrated that MRI-based radiomic features of the liver and spleen have the potential to predict the severity of liver cirrhosis, using decompensation or MELD status as imperfect surrogate measures for disease severity. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - March 1, 2021 Category: Intensive Care Source Type: research

Intraoral radiograph anatomical region classification using neural networks
This study attempted to use neural networks to automate the classification of anatomical regions in intraoral radiographs among 22 unique anatomical classes.MethodsThirty-six literature-based neural network models were systematically developed and trained with full supervision and three different data augmentation strategies. Only libre software and limited computational resources were utilized. The training and validation datasets consisted of 15,254 intraoral periapical and bite-wing radiographs, previously obtained for diagnostic purposes. All models were then comparatively evaluated on a separate dataset as regards the...
Source: International Journal of Computer Assisted Radiology and Surgery - February 24, 2021 Category: Intensive Care Source Type: research

Patient-specific desktop 3D-printed guides for pelvic tumour resection surgery: a precision study on cadavers
ConclusionWe have characterized placement errors for small PSIs in four regions of the pelvis. Our results show high errors inC andS PSIs in the direction of the resection plane ’s normal, and thus large osteotomy deviations. Deviations in short osteotomies inS,I andP and placement errors in the remaining directions were low. The PSIs used in this study are biocompatible and can be produced with a desktop 3D printer, thus minimizing manufacturing cost. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 22, 2021 Category: Intensive Care Source Type: research

Semi-automatic micro-CT segmentation of the midfoot using calibrated thresholds
ConclusionWe developed a semi-automatic micro-CT segmentation method based on calibrated thresholds. This method was designed specifically for use in bones with high rates of curvature and low cortical bone density, such as the cuneiforms, where traditional threshold-based segmentation is more challenging. Our method shows improvement over manual segmentation and was highly reliable, making it appropriate for use in quantitative micro-CT analysis. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 19, 2021 Category: Intensive Care Source Type: research

Atlas-based segmentation of cochlear microstructures in cone beam CT
ConclusionsAn atlas-based approach using 3D micro-slicing data and affine spatial registration in the cochlear region was successful in segmenting cochlear microstructures of temporal bone anatomy for use in simulation software and potentially for pre-surgical planning and rehearsal. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 13, 2021 Category: Intensive Care Source Type: research

Patient-specific plate for navigation and fixation of the distal radius: a case series
ConclusionThe correlation between malalignment and MHOQ score, EQ-5D-5L score, pain, and range of motion shows that alignment should be restored as well as possible. Compared to the conventional approach, which relies on 2D imaging techniques, corrective osteotomy based on 3D preoperative planning and intraoperative fixation with a PSP has been shown to improve bone alignment and reduce pain.Level of evidenceIV. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 11, 2021 Category: Intensive Care Source Type: research

Mixed reality as a novel tool for diagnostic and surgical navigation in orthopaedics
ConclusionsMore improvements are necessary for the navigation tool to be accurate enough for surgical applications, however, this new tool has the potential to improve diagnostic accuracy and allow for safer and more precise surgeries, as well as provide for better learning conditions for orthopaedic surgeons in training. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 8, 2021 Category: Intensive Care Source Type: research

Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs
ConclusionsWe proposed an algorithm that significantly improves the differential diagnosis accuracy of ameloblastoma and odontogenic keratocyst and has the utility to provide a reliable recommendation to the oral maxillofacial specialists before surgery. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 6, 2021 Category: Intensive Care Source Type: research

Acknowledgement to reviewers
(Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - February 4, 2021 Category: Intensive Care Source Type: research

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs
AbstractBackgroundCOVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for prevention relies on the detection of COVID-19-positive cases through quick and accurate testing. Since artificial intelligence (AI) offers the powerful mechanism to automatically extract the tissue features and characterise the disease, we therefore hypothesise that AI-based strategies can provide quick detection and classification, especially for radiological computed tomography (CT) lung scans.MethodologySix models, two traditional machine learning (ML)-based (k-NN and RF), two transfer learning (TL)-based (VGG19 and Ince...
Source: International Journal of Computer Assisted Radiology and Surgery - February 3, 2021 Category: Intensive Care Source Type: research

Grinding trajectory generator in robot-assisted laminectomy surgery
ConclusionOur work can automatically extract laminar centers from the CT image precisely to formulate a reasonable surgical trajectory plan. It simplifies the surgical planning process and reduces the time needed for surgeons to perform such a cumbersome operation manually. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 28, 2021 Category: Intensive Care Source Type: research

MINARO HD: control and evaluation of a handheld, highly dynamic surgical robot
ConclusionThe requirements regarding dynamic motion compensation, accuracy, and machining speed of unicompartmental knee arthroplasties, for which the robot was optimized, are achieved with the presented robotic system. In particular, the step response results show that the robot is able to compensate for human tremor. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 23, 2021 Category: Intensive Care Source Type: research

Association of AI quantified COVID-19 chest CT and patient outcome
This study aims to develop artificial intelligence (AI)-based methods to quantify disease severity and predict COVID-19 patient outcome.MethodsWe develop an AI-based framework that employs deep neural networks to efficiently segment lung lobes and pulmonary opacities. The volume ratio of pulmonary opacities inside each lung lobe gives the severity scores of the lobes, which are then used to predict ICU admission and mortality with three different machine learning methods. The developed methods were evaluated on datasets from two hospitals (site A: Firoozgar Hospital, Iran, 105 patients; site B: Massachusetts General Hospit...
Source: International Journal of Computer Assisted Radiology and Surgery - January 23, 2021 Category: Intensive Care Source Type: research

Performance-aware programming for intraoperative intensity-based image registration on graphics processing units
ConclusionThe computation bottlenecks indiffeomorphic log-demons are pinpointed, analyzed, and resolved using various GPU performance-aware programming techniques. The proposed fast computation on basic image operations not only enhances the computation ofdiffeomorphic log-demons, but is also potentially extended to speed up many other intensity-based approaches. Our implementation is open-source on GitHub athttps://bit.ly/2PYZxQz. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 23, 2021 Category: Intensive Care Source Type: research

Ultrasound-guided needle insertion robotic system for percutaneous puncture
ConclusionA robotic system for percutaneous puncture guided by US images was developed and demonstrated. The experimental results indicate that the proposed system is accurate and feasible. It can assist novices and young surgeons to perform the puncture operation with increased accuracy. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 23, 2021 Category: Intensive Care Source Type: research

A 3D printed cast for minimally invasive transfer of distal radius osteotomy: a cadaver study
ConclusionFor normal weight arm specimens, navigation of corrective osteotomy via a cast-based guide resulted in transfer errors comparable to those using invasive surgical guides. The promising positioning capabilities justify further investigating whether the method could ultimately be used in a clinical setting, which could especially be of interest when used with less invasive osteosynthesis material. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 21, 2021 Category: Intensive Care Source Type: research

Dual fluoroscopic imaging and CT-based finite element modelling to estimate forces and stresses of grafts in anatomical single-bundle ACL reconstruction with different femoral tunnels
ConclusionThe proposed method is able to simulate knee joint motion based on in vivo kinematics. The results demonstrate that posterior to the centre of the femoral footprint is the strategic location for graft placement, and this placement results in anatomical graft behaviour with a low stress state. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 20, 2021 Category: Intensive Care Source Type: research

Automatic airway tree segmentation based on multi-scale context information
ConclusionThe MFA-Net is competitive with the state-of-the-art methods. The experiment results indicate that the MFA block improves the performance of the network by utilizing multi-scale context information. More accurate segmentation results will be more helpful in further clinical analysis. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 19, 2021 Category: Intensive Care Source Type: research

Survival prediction of patients suffering from glioblastoma based on two-branch DenseNet using multi-channel features
ConclusionThe classification and prediction results of the model and the survival analysis demonstrate that our model can get superior classification results which can be referenced by doctors and patients ’ families for developing medical plans. However, improving the loss function and expanding the sample size can further improve the prediction results, which are the target of our subsequent research. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 18, 2021 Category: Intensive Care Source Type: research

Hard frame detection for the automated clipping of surgical nasal endoscopic video
ConclusionHFD-ConvLSTM provides a new paradigm for video clipping by breaking the complex clipping problem into smaller, more easily managed 2-classification problems. Our investigation reveals that the hard framed detection based on blurring score calculation is effective for nasal endoscopic video clipping. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 18, 2021 Category: Intensive Care Source Type: research

Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification
ConclusionThe applicability of semi-conditional InfoGAN for feature learning and representation in medical images was demonstrated in this study. InfoGAN can perform constant feature learning and generate images with a variety of shapes using a small dataset. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 11, 2021 Category: Intensive Care Source Type: research

Correction to: Enhancement of needle visualization and localization in ultrasound
The original version of this article unfortunately contained a mistake. The presentation of Table 1 was incorrect. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 11, 2021 Category: Intensive Care Source Type: research

Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network
Conclusions:Our proposed multi-feature-guided CNN achieves improved results compared to single-feature CNN proving the importance of the local phase-based CXR image enhancement. Future work will involve further evaluation of the proposed method on a larger-size COVID-19 dataset as they become available. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 9, 2021 Category: Intensive Care Source Type: research

Three-dimensional photography for intraoperative morphometric analysis in metopic craniosynostosis surgery
ConclusionHand-held 3D photography is an accurate technique for objective quantification of intraoperative cranial vault morphology and guidance during metopic craniosynostosis surgical reconstruction. This noninvasive technique does not substantially increase surgical time and does not require exposure to ionizing radiation, presenting a valuable alternative to computed tomography imaging. The proposed methodology can be integrated into the surgical workflow to assist during cranial vault remodeling and ensure optimal surgical outcomes. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 8, 2021 Category: Intensive Care Source Type: research

Deformation modeling based on mechanical properties of liver tissue for virtuanormal vectors of trianglesl surgical simulation
ConclusionsThe effectiveness of the collision detection algorithm and deformation model was verified by an established virtual surgery simulation system. The proposed rapid construction method of virtual surgical simulation is feasible. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 6, 2021 Category: Intensive Care Source Type: research

A cable-driven distal end-effector mechanism for single-port robotic surgery
ConclusionA cable-driven distal end-effector mechanism composed of a parallelogram mechanism, and a snake mechanism used for single-port robotic surgery was proposed. The mechanism adopts a novel cable-driven joint structure and corresponding methods of threading cables to keep the length and even the tension force of cables constant during surgery. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 3, 2021 Category: Intensive Care Source Type: research

A tactile sensor using the acoustic reflection principle for assessing the contact force component in laparoscopic tumor localization
ConclusionsA two-axis tactile sensor using the acoustic reflection principle was assembled for tissue palpation in MIS. The results showed that the developed sensor is suitable for tumor detection, indicating that the shear force information of the developed sensor is more useful in MIS for early stage gastric tumor localization. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 3, 2021 Category: Intensive Care Source Type: research

Usability of cooperative surgical telemanipulation for bone milling tasks
ConclusionA cooperative surgical telemanipulator can improve effectiveness and efficiency close to an automated execution and enhance user satisfaction compared to direct manual interaction. At the same time, the surgeon remains part of the control loop and is able to adjust the surgical plan according to the intraoperative situation and his/her expertise at any time. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 23, 2020 Category: Intensive Care Source Type: research

A virtual reality-based data analysis for optimizing freehand external ventricular drain insertion
ConclusionsThe proposed data analysis method is helpful to optimize the key parameters of the preoperative planning, and provides useful references for neurosurgeons to perform the freehand EVD insertion. The EVD insertion experiments on 3D printing model had a success rate of 93.75%, which verified the effectiveness of the data analysis. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 17, 2020 Category: Intensive Care Source Type: research

XDose: toward online cross-validation of experimental and computational X-ray dose estimation
ConclusionsOur results indicate that Monte Carlo methods can be accelerated hardware-independently and still yield reliable results. This facilitates empirical dose studies that make use of online Monte Carlo simulations to easily cross-validate dose estimates on-site. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 4, 2020 Category: Intensive Care Source Type: research

Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5D models
ConclusionsThis paper compares the performance of the network based on 2.5D model using different parameter configurations. The result obtained shows the effect of each parameter and allow the selection of the best configuration in order to improve the network performance in the application of automatic liver and tumor segmentation. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 21, 2020 Category: Intensive Care Source Type: research

Real-time mapping of a whole heart chamber using a novel sparse ultrasonic catheter array
ConclusionsA novel catheter system consisting of a basket of splines with multiple multi-frequency ultrasonic elements allows 3D anatomical mapping and real-time tracking of the entire heart chamber within a single heartbeat. These design parameters achieve highly acceptable reconstruction accuracy. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 19, 2020 Category: Intensive Care Source Type: research

Unravelling the effect of data augmentation transformations in polyp segmentation
ConclusionDespite being infrequently used, pixel-based transformations show a great potential to improve polyp segmentation in CVC-EndoSceneStill. On the other hand, image-based transformations are more suitable for Kvasir-SEG. Problem-based transformations behave similarly in both datasets. Polyp area, brightness and contrast of the dataset have an influence on these differences. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 18, 2020 Category: Intensive Care Source Type: research

Bidirectional long short-term memory for surgical skill classification of temporally segmented tasks
ConclusionThe technique presented shows results not incomparable with labels which would be obtained from crowd-sourced labels of surgical tasks. However, these results bring about questions of the reliability of crowd sourced labels in videos of surgical tasks. We, as a research community, should take a closer look at crowd labeling with higher scrutiny, systematically look at biases, and quantify label noise. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 18, 2020 Category: Intensive Care Source Type: research

CardIAc: an open-source application for myocardial strain analysis
ConclusionThis paper introduces a new open-source application for strain analysis distributed under a BSD-style open-source license. Results demonstrate the capability and merits of the proposed application for strain analysis. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 16, 2020 Category: Intensive Care Source Type: research

Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans
ConclusionOur study based on an ensemble deep transfer learning system with different pre-trained CNNs architectures can work well on a publicly available dataset of CT images for the diagnosis of COVID-19 based on CT scans. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 16, 2020 Category: Intensive Care Source Type: research

The use of a surgical planning tool for evaluating the optimal surgical accessibility to the stapedius muscle via a retrofacial approach during cochlear implant surgery: a feasibility study
ConclusionThe surgical planning tool seems to be useful for the pre-operative evaluation of the accessibility to the SM during a CI surgery via a retrofacial approach. Further prospective studies are needed to validate the results in larger cohorts. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 13, 2020 Category: Intensive Care Source Type: research

A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation
ConclusionOur generative model can capture uncertainties related to mechanical characterisation of tissue. When fitting samples from elastography and linear studies, all meta-models performed similarly. The Ogden meta-model performed the best on hyperelastic studies. We were able to predict elastic parameters in a reference model on a synthetic phantom. However, deformation observed in clinical cases is only partly explained using our generative model. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 9, 2020 Category: Intensive Care Source Type: research

Development and evaluation of a prototype detector for an intraoperative laparoscopic coincidence imaging system with PET tracers
ConclusionWe developed a prototype detector for an intraoperative laparoscopic coincidence imaging system. The prototype detector was evaluated successfully, and the produced images were similar to those obtained in the simulation results, thereby suggesting that this method offers a new possibility of imaging lymph node metastases intraoperatively. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 7, 2020 Category: Intensive Care Source Type: research

A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography
ConclusionThe 3D  Glow-generated synthetic polyps are visually indistinguishable from real colorectal polyps. Their application to data augmentation can substantially improve the performance of 3D CNNs in CADe for CT colonography. Thus, 3D Glow is a promising method for improving the performance of deep learning in CADe for CT colonography. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 5, 2020 Category: Intensive Care Source Type: research

Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning
ConclusionsThis study is the first significant step forward to assess the vascularity of the GB wall from intraoperative images based on computer vision and deep learning techniques. The classification performance of the CNNs was comparable to the agreement of two expert surgeons. The approach may be used for various applications such as for classification of LC operations and context-aware assistance in surgical education and practice. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 4, 2020 Category: Intensive Care Source Type: research

The effect of artificial X-rays on C-arm positioning performance in a simulated orthopaedic surgical setting
ConclusionNovice users working with a C-arm machine supplemented with the ability to generate simulated X-ray images could successfully accomplish positioning tasks in a simulated surgical setting using markedly fewer X-ray images than when unassisted. In future work, we plan to determine whether such a system can produce similar results in the live operating room without lengthening surgical procedures. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 4, 2020 Category: Intensive Care Source Type: research

Artificial intelligence CT screening model for thyroid-associated ophthalmopathy and tests under clinical conditions
ConclusionsA promising orbital CT-based TAO screening AI model was established and passed application tests under clinical conditions. This may provide a new TAO screening tool with further validation. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 4, 2020 Category: Intensive Care Source Type: research

A bilinear convolutional neural network for lung nodules classification on CT images
ConclusionThe proposed method improved the outcomes of conventional CNN-based architectures and showed promising and satisfying results, compared to other works, with an affordable complexity. We believe that the proposed BCNN can be used as an assessment tool for radiologists to make a precise analysis of lung nodules and an early diagnosis of lung cancers. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 2, 2020 Category: Intensive Care Source Type: research

Preliminary study on mechanical characteristics of maxillofacial soft and hard tissues for virtual surgery
ConclusionMechanical properties of hard tissues are relatively stable, which can be applied in virtual surgery system for physical model construction. Insertion model and cutting force for soft tissues are meaningful and applicable and can be utilized to promote the accuracy of response for haptic feedback sensations. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 31, 2020 Category: Intensive Care Source Type: research

Interactive editing of virtual chordae tendineae for the simulation of the mitral valve in a decision support system
ConclusionsOur approach is suitable to create realistically parameterized mitral valve apparatus reconstructions for the simulation of normally and abnormally closing valves in a decision support system. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 24, 2020 Category: Intensive Care Source Type: research

HoloPointer: a virtual augmented reality pointer for laparoscopic surgery training
ConclusionThe proposed HoloPointer is a feasible and applicable tool for laparoscopic surgery training. It improved objective performance metrics without prolongation of the task completion time in this pre-clinical setup. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 23, 2020 Category: Intensive Care Source Type: research

Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments
ConclusionThe proposed force feedback method can recreate resistance force from the intervention devices. The control model is valid with higher precision and wide bands, which has laid foundations to the application of REIS in clinic. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 22, 2020 Category: Intensive Care Source Type: research