Toward interprofessional team training for surgeons and anesthesiologists using virtual reality
ConclusionThe proposed VR prototype provides a new basis for interprofessional team training in surgery. It engages the training of problem-based communication during surgery and might open new directions for operating room training. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 20, 2020 Category: Intensive Care Source Type: research

Comparison of manual versus robot-assisted contralateral gate cannulation in patients undergoing endovascular aneurysm repair
ConclusionRobot-assisted contralateral gate cannulation in EVAR leads to decreased navigation path lengths and increased economy of movement compared with manual catheter techniques. The benefit could be maximised by prioritising robotic catheter shaping over habituated reliance on guidewire manipulation. Robotic technology has the potential to reduce the endovascular footprint during manipulations even for experienced operators with the added advantage of zero radiation exposure. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 17, 2020 Category: Intensive Care Source Type: research

Utilization of a 3D printed dental splint for registration during electromagnetically navigated mandibular surgery
ConclusionFor dentate patients, rigid point-based registration performs best utilizing a dental splint with notches. The dental splint is easy to implement in the surgical, and navigational, workflow, and the notches can be pinpointed and designated on the CT scan with high accuracy. For edentate patients, screws can be used for rigid point-based registration. However, a new design of the screws is recommended to improve the accuracy of designation on the CT scan. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 16, 2020 Category: Intensive Care Source Type: research

3D-XGuide: open-source X-ray navigation guidance system
ConclusionThe introduced system provides a common foundation for the rapid prototyping of new approaches in the field of XR fluoroscopic guidance. As a pure software solution, the developed system is potentially vendor-independent and can be easily extended to be used with the XR systems of different manufacturers. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 15, 2020 Category: Intensive Care Source Type: research

Clearness of operating field: a surrogate for surgical skills on in vivo clinical data
ConclusionOur results demonstrate that the surrogate of COF is promising and the approach is potentially applicable to clinical practice. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 12, 2020 Category: Intensive Care Source Type: research

Retrospective in silico evaluation of optimized preoperative planning for temporal bone surgery
ConclusionOptimized trajectory planning based on shape regularized segmentation leads to safe access canals for temporal bone surgery. Functional evaluation shows the promising results for both 3D U-Net and B ézier Spline trajectories. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 11, 2020 Category: Intensive Care Source Type: research

Language-based translation and prediction of surgical navigation steps for endoscopic wayfinding assistance in minimally invasive surgery
ConclusionWe implemented a natural language-based prediction method for sentence-level navigation steps in endoscopic surgery. The sentence-level prediction method showed a potential that word relations to navigation tasks can be learned and used for predicting future steps. Further studies are needed to investigate the functionality of path prediction. The prediction approach is a first step in the field of visuo-linguistic navigation assistance for endoscopic minimally invasive surgery. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 10, 2020 Category: Intensive Care Source Type: research

Enhanced registration of ultrasound volumes by segmentation of resection cavity in neurosurgical procedures
ConclusionsWe proposed an innovative registration algorithm to compensate the brain shift affecting ultrasound volumes obtained at subsequent phases of neurosurgical procedures. To the best of our knowledge, our method is the first to exclude automatically segmented resection cavities in the registration of ultrasound volumes in neurosurgery. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 6, 2020 Category: Intensive Care Source Type: research

Four-dimensional computed tomography angiography analysis of internal carotid arteries opacification at the skull base to detect delayed cerebral ischemia: a feasibility study
AbstractPurposeDelayed cerebral ischemia represents a significant cause of poor functional outcome for patients with vasospasm after subarachnoid hemorrhage. We investigated whether delayed cerebral ischemia could be detected by the arterial opacification of internal carotid artery at the level of the skull base.MethodsIn this exploratory, nested retrospective cohort diagnostic accuracy study, patients with clinical and/or transcranial Doppler suspicion of vasospasm who underwent four-dimensional computed tomography angiography were included. They were split into two groups for the main endpoint analysis, according to the ...
Source: International Journal of Computer Assisted Radiology and Surgery - October 6, 2020 Category: Intensive Care Source Type: research

Motion analysis of the JHU-ISI Gesture and Skill Assessment Working Set using Robotics Video and Motion Assessment Software
AbstractPurposeThe JIGSAWS dataset is a fixed dataset of robot-assisted surgery kinematic data used to develop predictive models of skill. The purpose of this study is to analyze the relationships of self-defined skill level with global rating scale scores and kinematic data (time, path length and movements) from three exercises (suturing, knot-tying and needle passing) (right and left hands) in the JIGSAWS dataset.MethodsGlobal rating scale scores are reported in the JIGSAWS dataset and kinematic data were calculated using ROVIMAS software. Self-defined skill levels are in the dataset (novice, intermediate, expert). Corre...
Source: International Journal of Computer Assisted Radiology and Surgery - October 5, 2020 Category: Intensive Care Source Type: research

Estimating 3-dimensional liver motion using deep learning and 2-dimensional ultrasound images
ConclusionThe experimental results show the effectiveness of our novel method to identify the movement of the liver by BCDU-Net and CNN. Precise segmentation of the liver by BCDU-Net also contributes to enhancing the performance of the liver movement estimation. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 2, 2020 Category: Intensive Care Source Type: research

4D deep learning for real-time volumetric optical coherence elastography
ConclusionsWe demonstrate direct volumetric optical coherence elastography from phase image data. The approach does not rely on particular stimulation or sampling sequences and allows the estimation of elastic tissue properties of up to 40 Hz. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 29, 2020 Category: Intensive Care Source Type: research

Enhancement of needle visualization and localization in ultrasound
ConclusionGreatest limitation of the majority of the literature is that they rely on original visibility of the needle in the static image. Need for additional/improved apparatus is the greatest limitation toward clinical utility in practice.SignificanceUltrasound-guided needle placement is performed in many clinical applications, including biopsies, treatment injections and anesthesia. Despite the wide range and long history of this technique, an ongoing challenge is needle visibility in ultrasound. A robust technique to enhance ultrasonic needle visibility, especially for steeply inserted hand-held needles, and while mai...
Source: International Journal of Computer Assisted Radiology and Surgery - September 29, 2020 Category: Intensive Care Source Type: research

Bone age assessment based on deep convolution neural network incorporated with segmentation
ConclusionWe explored the establishment of an automated bone age assessment method based on deep learning. This method can efficiently eliminate the influence of background interference on bone age evaluation, improve the accuracy of bone age evaluation, provide important reference value for bone age determination, and can aid in the prevention of adolescent growth and development diseases. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 27, 2020 Category: Intensive Care Source Type: research

Value of the surgeon ’s sightline on hologram registration and targeting in mixed reality
This study aims to assess the impact of thesurgeon ’s sightline in an inside-out marker-based MR navigation system for open surgery.MethodsSurgeons at Akershus University Hospital tested this system. A custom-made phantom was used, containing 18 wire target crosses within its inner walls. A CT scan was obtained in order to segment all wire targets into a single 3D-model (hologram). An in-house software application (CTrue), developed for the Microsoft HoloLens 1, uploaded 3D-models and automatically registered the 3D-model with the phantom. Based on the surgeon ’s sightline while registering and targeting (free ...
Source: International Journal of Computer Assisted Radiology and Surgery - September 27, 2020 Category: Intensive Care Source Type: research

Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging
ConclusionThis study systematically demonstrates the effect of class imbalance on two public X-ray datasets on RFM and CNN, making these findings widely applicable as a reference. Furthermore, the methods employed here can guide researchers in assessing and addressing the effects of class imbalance, while considering the data-specific characteristics to optimize imbalance mitigating methods. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 22, 2020 Category: Intensive Care Source Type: research

Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques
ConclusionsThe localization result shows that mean IoU of RESNET50, RESNET101 are 0.79 and 0.74, respectively. The Dice similarity coefficient of IAC and its nerves using region growing, PSO and U-net method scored 92%, 94%, and 96%, respectively. The result shows that the proposed method outperform better in localization and segmentation of IAC and its nerves. Thus, AI aids the radiologists in making the right decisions as the localization and segmentation of IAC is accurate. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 21, 2020 Category: Intensive Care Source Type: research

Force quantification and simulation of pedicle screw tract palpation using direct visuo-haptic volume rendering
ConclusionsWe demonstrated the suitability of direct visual and haptic volume rendering to simulate a specific surgical procedure. Our approach of fine-tuning the simulation by measuring the forces and torques that are prevalent while palpating a real vertebra produced promising results. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 20, 2020 Category: Intensive Care Source Type: research

Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning
ConclusionsOur semiautomatic method provides a near real-time user experience and requires short training without compromising the segmentation accuracy. A powerful approach is thus presented to rapidly plan the fetoscope insertion point ahead of TTTS surgery. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 18, 2020 Category: Intensive Care Source Type: research

Robust endocytoscopic image classification based on higher-order symmetric tensor analysis and multi-scale topological statistics
ConclusionsWe developed a robust EC image classification method with novel feature extraction. This method is useful for the construction of a practical CAD system, since it has sufficient generalisation ability. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 15, 2020 Category: Intensive Care Source Type: research

Generative multi-adversarial network for striking the right balance in abdominal image segmentation
Conclusion The proposed Ensemble-GAN framework demonstrated outstanding performance in the semantic segmentation of medical images in comparison with other approaches on popular abdominal imaging benchmarks. The Ensemble-GAN has the potential to segment abdominal images more accurately than human experts. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 7, 2020 Category: Intensive Care Source Type: research

Digitizing rhinoplasty: a web application with three-dimensional preoperative evaluation to assist rhinoplasty surgeons with surgical planning
ConclusionsThe web application introduced in this paper helps analyzing the patient ’s face in details utilizing 3D models and provides numeric outputs to be used in the rhinoplasty operation planning. The experienced rhinoplasty surgeons that participated to our survey agree that the web app would be a beneficial tool for rhinoplasty surgeons. We aim to further improve the web a pplication with more functionality to help surgeons for preoperative planning of rhinoplasty. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 3, 2020 Category: Intensive Care Source Type: research

Multiple objective planning for thermal ablation of liver tumors
ConclusionThe proposed method performs well in the two different situations we considered: with or without the pull-back technique. It can generate Pareto optimal plans satisfying multiple clinical constraints. These plans consider the trade-off between different planning objectives. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 2, 2020 Category: Intensive Care Source Type: research

Catheter navigation support for liver radioembolization guidance: feasibility of structure-driven intensity-based registration
ConclusionAn image fusion-based approach has been specifically proposed for RE procedures guidance. The catheter manipulation strategy based on the fusion of pre- and intraoperative images has the potential to support different steps of the RE clinical workflow and to guide the overall procedure. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 31, 2020 Category: Intensive Care Source Type: research

Temporal variability of surgical technical skill perception in real robotic surgery
ConclusionThe findings from this research raise questions about the optimal duration of footage needed to be evaluated to arrive at an accurate rating of surgical technical skill for longer procedures. This may imply non-negligible label noise for supervised machine learning approaches. In the future, it may be necessary to report a surgeon ’s skill variability in addition to their mean score to have proper knowledge of a surgeon’s overall skill level. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 28, 2020 Category: Intensive Care Source Type: research

A simple tool to automate the insertion process in cochlear implant surgery
ConclusionsInitial testing of our hydraulic insertion tool did not reveal any serious complications that contradict the initially defined design specifications. Further meticulous testing is needed to determine the safety of the device, its reliability and clinical applicability. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 27, 2020 Category: Intensive Care Source Type: research

A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance
ConclusionThe proposed method is a step toward online patient-specific C-arm CBCT source trajectories that enable high-quality tomographic imaging in the operating room. Since the optimization objective is implicitly encoded in a neural network trained on large amounts of well-annotated projection images, the proposed approach overcomes the need for 3D information at run-time. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 24, 2020 Category: Intensive Care Source Type: research

Automatic segmentation of the carotid artery and internal jugular vein from 2D ultrasound images for 3D vascular reconstruction
ConclusionsOn average, the Mask R-CNN produced more accurate vascular segmentations compared to U-Net. The Mask R-CNN models were used to produce 3D reconstructed vasculature with a similar accuracy to that of a manually segmented CT scan. This implementation of the Mask R-CNN network enables automatic analysis of the neck vasculature and facilitates 3D vascular reconstruction. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 23, 2020 Category: Intensive Care Source Type: research

Fast and accurate online calibration of optical see-through head-mounted display for AR-based surgical navigation using Microsoft HoloLens
Conclusions:The proposed calibration method does not rely on the camera of the OST-HMD and is very easy to operate. Phantom experiment and clinical case demonstrated the feasibility of our AR-based surgical navigation system and indicated it has the potential in clinical application. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 17, 2020 Category: Intensive Care Source Type: research

Vision-based hand –eye calibration for robot-assisted minimally invasive surgery
ConclusionVision-based hand –eye calibration is developed. We demonstrate the feasibility to perform hand–eye calibration by taking advantage of the components of surgical robot system, leading to the efficiency of surgical OR. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 16, 2020 Category: Intensive Care Source Type: research

Deep learning-based fetoscopic mosaicking for field-of-view expansion
ConclusionThe proposed mosaicking framework outperformed existing methods and generated meaningful mosaic, while reducing the accumulated drift, even in the presence of visual challenges such as specular highlights, reflection, texture paucity, and low video resolution. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 16, 2020 Category: Intensive Care Source Type: research

Evaluation of long-term stability of monolithic 3D-printed robotic manipulator structures for minimally invasive surgery
ConclusionIt has been shown that 3D-printed manipulators in principle are suitable for use as disposable surgical manipulator systems and offer a long-term stability over at least 90  min. The developed manipulator design shows great potential for the production of patient-, task- and user-specific robot systems. However, the manipulator geometries as well as the control strategies still show room for improvements. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 12, 2020 Category: Intensive Care Source Type: research

A visual SLAM-based bronchoscope tracking scheme for bronchoscopic navigation
ConclusionWe present a novel methodology using visual SLAM for bronchoscope tracking. Our experimental results showed that it is feasible to use visual SLAM for the estimation of the bronchoscope camera pose during bronchoscopic navigation. Our proposed method tracked more frames and showed higher accuracy than the original technique did. Future work will include combining the tracking results with virtual bronchoscopy and validation with in vivo cases. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - August 6, 2020 Category: Intensive Care Source Type: research

Augmented reality for inner ear procedures: visualization of the cochlear central axis in microscopic videos
ConclusionWe developed an augmented reality system to visualize the cochlear axis in intraoperative videos. The system yielded millimetric accuracy and remained stable throughout the experimental study despite camera movements throughout the procedure in experimental conditions. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 30, 2020 Category: Intensive Care Source Type: research

Automatic quality measurement of aortic contrast-enhanced CT angiographies for patient-specific dose optimization
ConclusionThe resulting system works well within our range of considered scan protocols detecting enhanced areas in CTA volumes. Our work automized an assessment for classifying CA-induced image contrast which reduces the time needed for medical practitioners to perform such an assessment manually. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 30, 2020 Category: Intensive Care Source Type: research

Smartphone- versus smartglasses-based augmented reality (AR) for percutaneous needle interventions: system accuracy and feasibility study
AbstractPurposeTo compare the system accuracy and needle placement performance of smartphone- and smartglasses-based augmented reality (AR) for percutaneous needle interventions.MethodsAn AR platform was developed to enable the superimposition of annotated anatomy and a planned needle trajectory onto a patient in real time. The system accuracy of the AR display on smartphone (iPhone7) and smartglasses (HoloLens1) devices was evaluated on a 3D-printed phantom. The target overlay error was measured as the distance between actual and virtual targets (n = 336) on the AR display, derived from preprocedural CT. The...
Source: International Journal of Computer Assisted Radiology and Surgery - July 29, 2020 Category: Intensive Care Source Type: research

Suction-fixing surgical device for assisting liver manipulation with laparoscopic forceps
ConclusionThe proposed device showed effective performance to improve laparoscopic liver manipulation. It held the liver stably and less invasively and transferred forceps operation force to the liver surface well. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 29, 2020 Category: Intensive Care Source Type: research

Ultrasound in augmented reality: a mixed-methods evaluation of head-mounted displays in image-guided interventions
ConclusionWe present additional, though still preliminary, evidence that AR-HMDs provide benefits in image-guided procedures. Our data also contribute insights into potential causes underlying the benefits, such as improved spatial perception. Still, more comprehensive studies are needed to ascertain benefits for clinical applications and to clarify mechanisms underlying these benefits. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 27, 2020 Category: Intensive Care Source Type: research

A surgical navigated cutting guide for mandibular osteotomies: accuracy and reproducibility of an image-guided mandibular osteotomy
ConclusionThe proposed EM navigated cutting guide for mandibular osteotomies demonstrated accurate positioning of the cutting plane according to the preoperative virtual surgical plan with respect to distance, yaw and roll angles. This novel approach has the potential to make the use of 3D-printed cutting guides obsolete, thereby decreasing the interval between diagnosis and surgery, reduce cost and allow for adaptation of the virtual plan in case of rapid tumor proliferation or unanticipated in situ deviations from the preoperative CT/MR imaging. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 27, 2020 Category: Intensive Care Source Type: research

Automatic robot-world calibration in an optical-navigated surgical robot system and its application for oral implant placement
ConclusionThe surgical robot system for oral implant placement with our robot-world calibration maintains a high precision. Besides, the operation range of the surgical tool is no longer limited by the visual range of the optical tracking device. Hence, it is unnecessary to adjust the optical tracking device for the planned implant trajectories to different positions and directions. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 25, 2020 Category: Intensive Care Source Type: research

Electromagnetic (EM) catheter path tracking in ultrasound-guided brachytherapy of the breast
ConclusionOur preliminary results show a potential role for US guidance and EM needle navigation for implantation of catheters for breast brachytherapy. EM catheter tracking can accurately assess the implant geometry in breast brachytherapy patients. This methodology has the potential to evaluate catheter positions directly after the implantation and during the several fractions of the treatment. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 24, 2020 Category: Intensive Care Source Type: research

Needle tip force estimation by deep learning from raw spectral OCT data
ConclusionsWe find that deep learning with raw spectral OCT data can improve learning for the task of force estimation. Our needle design and calibration approach constitute a very accurate fiber-optical sensor for measuring forces at the needle tip. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 21, 2020 Category: Intensive Care Source Type: research

A visual odometry base-tracking system for intraoperative C-arm guidance
ConclusionThe system achieved clinically relevant accuracies and could result in a reduced need for scout images when re-acquiring a previous position. We believe that, if implemented in an operating room, OPTIX has the potential to reduce both operating time and harmful radiation exposure to patients and surgical staff. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 20, 2020 Category: Intensive Care Source Type: research

A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy
ConclusionOur study demonstrates the potential of shape model-based deep learning methods for an efficient and accurate CTV segmentation in an ultrasound-guided intervention. Moreover, learning both low-level features and prior shape knowledge with channel-wise feature calibration can significantly improve the performance of deep learning methods in medical image segmentation. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 19, 2020 Category: Intensive Care Source Type: research

Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net
ConclusionThe segmentation of the MS can be realized efficiently, accurately, and automatically by our method. Meanwhile, it not only has a better segmentation result, but also improves the doctor ’s work efficiency, which will have significant impact on clinical applications in the future. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 15, 2020 Category: Intensive Care Source Type: research

Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions
ConclusionsThe proposed algorithm using Mask R-CNN can accurately track the needle feature tip and axis on MR images from in vivo intra-procedural prostate biopsy cases and ex vivo real-time MRI experiments with a range of different conditions. The algorithm achieved pixel-level tracking accuracy in real time and has potential to assist MRI-guided percutaneous interventions. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 15, 2020 Category: Intensive Care Source Type: research

Manual segmentation versus semi-automated segmentation for  quantifying vestibular schwannoma volume on MRI
AbstractPurposeManagement of vestibular schwannoma (VS) is based on tumour size as observed on T1 MRI scans with contrast agent injection. The current clinical practice is to measure the diameter of the tumour in its largest dimension. It has been shown that volumetric measurement is more accurate and more reliable as a measure of VS size. The reference approach to achieve such volumetry is to manually segment the tumour, which is a time intensive task. We suggest that semi-automated segmentation may be a clinically applicable solution to this problem and that it could replace linear measurements as the clinical standard.M...
Source: International Journal of Computer Assisted Radiology and Surgery - July 15, 2020 Category: Intensive Care Source Type: research

Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition
ConclusionACCESS automates collateral scoring to mitigate the shortcomings of the standard clinical practice. It is a robust approach, which resembles how radiologists score clinical scans, and can be used to help radiologists in clinical decisions of stroke treatment. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 13, 2020 Category: Intensive Care Source Type: research

Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN
AbstractPurposeReal-time, two (2D) and three-dimensional (3D) ultrasound (US) has been investigated as a potential alternative to fluoroscopy imaging in various surgical and non-surgical orthopedic procedures. However, low signal to noise ratio, imaging artifacts and bone surfaces appearing several millimeters (mm) in thickness have hindered the wide spread adaptation of this safe imaging modality. Limited field of view and manual data collection cause additional problems during US-based orthopedic procedures. In order to overcome these limitations various bone segmentation and registration methods have been developed. Aco...
Source: International Journal of Computer Assisted Radiology and Surgery - July 10, 2020 Category: Intensive Care Source Type: research

Fast interactive medical image segmentation with weakly supervised deep learning method
ConclusionsWe proposed and evaluated a fast, interactive deep learning method for accurate medical image segmentation. Moreover, our approach has the potential to solve the bottleneck of deep learning methods in adapting to inter-clinical variations and speed up the annotation processes. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - July 10, 2020 Category: Intensive Care Source Type: research