Hamlyn CRM: a compact master manipulator for surgical robot remote control
ConclusionResults indicated that the Hamlyn CRM can serve as a compact master manipulator for surgical training and has potential applications for RAMIS. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 19, 2020 Category: Intensive Care Source Type: research

Mitral valve flattening and parameter mapping for patient-specific valve diagnosis
ConclusionsIn summary, our survey shows that pathology detection can be improved in comparison with simple 3D surface visualizations of the mitral valve. The correspondence between the 2D and 3D representations is comprehensible, and color-coded pathophysiological magnitudes further support the clinical assessment. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 18, 2020 Category: Intensive Care Source Type: research

Fast, robust, and accurate monocular peer-to-peer tracking for surgical navigation
ConclusionThe new peer-to-peer tracking concept is a valuable approach to a decentralized navigation system that offers more freedom in the operating room while providing accurate, fast, and robust results. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 16, 2020 Category: Intensive Care Source Type: research

Toward automatic quantification of knee osteoarthritis severity using improved Faster R-CNN
ConclusionThe proposed end-to-end fully automatic model which is computationally efficient has the potential to achieve the real automatic diagnosis of knee OA and be used as computer-aided diagnosis tools in clinical applications. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 14, 2020 Category: Intensive Care Source Type: research

Modified radial-search algorithm for segmentation of tibiofemoral cartilage in MR images of patients with subchondral lesion
ConclusionIn the current study, a semi-automated segmentation of tibiofemoral cartilage was presented. Modified radial-search approach can successfully segment tibiofemoral cartilage, and the results were tested and validated on knee MRI data of OA patients with and without SBA. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 11, 2020 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 - January 4, 2020 Category: Intensive Care Source Type: research

3D printing method for next-day acetabular fracture surgery using a surface filtering pipeline: feasibility and 1-year clinical results
ConclusionsWe presented the first clinical practical technique to use 3D printing in acetabular fracture surgery. By introducing a new surface filtering pipeline, we reduced printing time and cost compared to the current literature and the state of the art. Low costs and easy handling of the 3D printing workflow make it usable in nearly every hospital setting for acetabular fracture surgery. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - January 2, 2020 Category: Intensive Care Source Type: research

Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer ’s disease
ConclusionThe proposed neural network has two functions of brain pathological states diagnosis and bilateral hippocampi segmentation with higher robustness and accuracy, respectively. The segmented bilateral hippocampi can be used as a reference for clinical decision making or intervention. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 27, 2019 Category: Intensive Care Source Type: research

Automatic cancer tissue detection using multispectral photoacoustic imaging
ConclusionThis model is an improvement over the previous work using machine learning and deep learning algorithms. This model may have immediate application in cancer screening of the numerous sliced specimens that result from thyroidectomy and prostatectomy. Since the instrument that was used to capture the ex vivo PA images is now being developed for in vivo use, this model may also prove to be a starting point for in vivo PA image analysis for cancer diagnosis. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 21, 2019 Category: Intensive Care Source Type: research

In vivo static and dynamic lengthening measurements of the posterior cruciate ligament at high knee flexion angles
ConclusionThis study provides interesting insights into a tailored postoperative regimen. In particular, knowing the knee ligament lengthening during dynamic exercises can help better define the last stages of the rehabilitation protocol, and hence provide a safe return to play. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 20, 2019 Category: Intensive Care Source Type: research

Differentiating benign and malignant mass and non-mass lesions in breast DCE-MRI using normalized frequency-based features
ConclusionNormalized frequency-based features can characterize benign and malignant lesions efficiently in both mass- and non-mass-like lesions. Additionally, the combination of normalized frequency-based features and three-dimensional shape descriptors improves the CADx performance. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 14, 2019 Category: Intensive Care Source Type: research

Automated measurement of bone scan index from a whole-body bone scintigram
ConclusionWe proposed a deep learning-based BSI measurement system for a whole-body bone scintigram and proved its effectiveness by threefold cross-validation study using 246 whole-body bone scintigrams. The automatically measured BSI and computational time for a case are deemed clinically acceptable and reliable. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 13, 2019 Category: Intensive Care Source Type: research

Development of a robot-assisted ultrasound-guided radiation therapy (USgRT)
ConclusionA stable and robust method for motion compensation for robot-assisted US imaging was developed and tested successfully. This is a first step toward the safe use of autonomous robot motions in interaction with patients. Furthermore, main software components were integrated into a single platform and used with the purpose of ultrasound-guided radiation therapy. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 12, 2019 Category: Intensive Care Source Type: research

Kidney edge detection in laparoscopic image data for computer-assisted surgery
ConclusionWe conclude that our approach succeeds in predicting the edges of the kidney, except in instances where high occlusion occurs, which explains the average decrease in the IOU score. All source code, reference data, models, and evaluation results are openly available for download:https://github.com/ghattab/kidney-edge-detection/. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 11, 2019 Category: Intensive Care Source Type: research

Transrectal ultrasound image-based real-time augmented reality guidance in robot-assisted laparoscopic rectal surgery: a proof-of-concept study
ConclusionsThis framework is developed with our clinical partner, based on actual clinical conditions. The experimental protocol and the high level of accuracy show the feasibility of seamlessly integrating this framework within the surgical workflow. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 5, 2019 Category: Intensive Care Source Type: research

Knee arthroscopic navigation using virtual-vision rendering and self-positioning technology
ConclusionThe proposed system provides surgeons with both fly-through and global positioning views without a dependence on the traditional external tracking systems for surgical guidance. The feasibility and robustness of the system are evaluated, and it shows promise for medical applications. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - December 5, 2019 Category: Intensive Care Source Type: research

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification
ConclusionThe proposed MRC-DNN facilitates an accurate manifold learning approach for lung nodule classification based on 3D CT images. More importantly, MRC-DNN suggests a new and effective idea of enforcing regularization for network training, possessing the potential impact to a board range of applications. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 25, 2019 Category: Intensive Care Source Type: research

Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning
ConclusionsCompared with previous methods, the proposed framework can perform multi-target needle insertion through single insertion point qunder continuous state space model with higher accuracy and robustness. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 25, 2019 Category: Intensive Care Source Type: research

Multi-atlas segmentation of the facial nerve from clinical CT for virtual reality simulators
ConclusionA successful FN segmentation algorithm was developed using a high-resolution micro-CT multi-atlas approach. The algorithm was unique in its ability to segment the entire intratemporal FN, with the exception of the meatal segment, which was not included in the segmentation as it was not discernible from the vestibulocochlear nerve within the internal auditory canal. It will be published as an open-source extension to allow use in virtual reality simulators for automatic segmentation, greatly reducing the time for expert segmentation and verification. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 23, 2019 Category: Intensive Care Source Type: research

An approach to automated measuring morphological parameters of proximal femora on three-dimensional models
ConclusionsThe parameters of proximal femur can be easily measured, and the 3D modeling of the femoral medullary canal can be rapidly achieved. The approach will be easily applicable to clinical practice and has the potential to be applied in the design of customized femoral stems. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 20, 2019 Category: Intensive Care Source Type: research

Surgineering: curriculum concept for experiential learning in upper-level biomedical engineering
ConclusionsThe Surgineering course presents an important addition to upper-level engineering curricula and a valuable opportunity for engineering students to gain hands-on experience and interaction with clinical experts. Close partnership with clinical faculty was essential to the schedule and logistics of the course as well as to the continuity of concepts delivered over the semester. The knowledge and experience gained provides stronger foundation for identification of un-met clinical needs and ideation of new engineering approaches in medicine. The course also provides a valuable prerequisite to higher-level coursework...
Source: International Journal of Computer Assisted Radiology and Surgery - November 18, 2019 Category: Intensive Care Source Type: research

Multimodal 3D medical image registration guided by shape encoder –decoder networks
ConclusionsWe present an integrated approach for weakly supervised multimodal image registration. Achieving promising results due to the exploration of intermediate shape features as registration guidance encourages further research in this direction. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 18, 2019 Category: Intensive Care Source Type: research

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks
ConclusionThis study reports development of a comprehensive analysis method to classify pulmonary nodules at multiple sections using GAN and DCNN. The effectiveness of the proposed discrimination method based on use of multiplanar images has been demonstrated to be improved compared to that realized in a previous study reported by the authors. In addition, the possibility of enhancing classification accuracy via application of GAN-generated images, instead of data augmentation, for pretraining even for medical datasets that contain relatively few images has also been demonstrated. (Source: International Journal of Computer...
Source: International Journal of Computer Assisted Radiology and Surgery - November 16, 2019 Category: Intensive Care Source Type: research

Accuracy assessment of target tracking using two 5-degrees-of-freedom wireless transponders
In this study, we evaluated whether accurate 6DOF tumor tracking is possible using only two 5DOF transponders, leaving one transponder to track a tool.MethodsTwo methods were defined to derive 6DOF information out of two 5DOF transponders. The first method uses the vector information of both transponders (TTV), and the second method combines the vector information of one transponder with the distance vector between the transponders (OTV). The accuracy of tracking a rotating object was assessed for each method mimicking clinically relevant and worst-case configurations. Accuracy was compared to using all three transponders ...
Source: International Journal of Computer Assisted Radiology and Surgery - November 14, 2019 Category: Intensive Care Source Type: research

CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms
ConclusionSeveral radiomic features (including wavelet energies, information measures of correlation and maximum probability from co-occurrence matrix, busyness from neighborhood intensity-difference matrix, directionalities from Tamura ’s texture, and fractal dimension estimation) significantly associated with distant metastasis, nodal metastasis, and histology were discovered in this work, presenting great potential as imaging biomarkers for pathological diagnosis and target therapy decision. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 13, 2019 Category: Intensive Care Source Type: research

Guest editorial of the IJCARS –JAMIT 2017–2018 special issue
(Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 12, 2019 Category: Intensive Care Source Type: research

Fusion of 3D real-time echocardiography and cine MRI using a saliency analysis
ConclusionsThe 3D multimodal registration strategy presented is performed in a saliency space. Unlike state-of-the-art methods, the presented one takes advantage of the temporal information of the heart to construct this common space, ending up with two well-aligned modalities and regular deformation fields. This preliminary study was evaluated on heterogeneous data composed of two different datasets, healthy and pathological cases, showing similar performances in both cases. Future work will focus on testing the presented strategy in a larger dataset with a balanced number of classes. (Source: International Journal of Com...
Source: International Journal of Computer Assisted Radiology and Surgery - November 11, 2019 Category: Intensive Care Source Type: research

Tongue color clustering and visual application based on 2D information
ConclusionsThe 2D information of tongue color can be used for clustering and to improve the visualization.K-Means combined with PCA could be used for tongue color classification and diagnosis. Methods in the paper might provide reference for the other research based on image diagnosis technology. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 11, 2019 Category: Intensive Care Source Type: research

Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices
ConclusionThe usage of histologic images allows to create a 3D model with new information about the aneurysm wall. The model provides information about the wall thickness, its heterogeneity and, when performed on cadaveric samples, includes information about the transition between IA neck and sac. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 8, 2019 Category: Intensive Care Source Type: research

Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis
ConclusionsThe proposed approach offered an explicit representation of commonly known as well as detailed shape variations associated with liver fibrosis stage. Thus, the application of PLSR-based SSM is feasible for understanding the shape variations associated with the liver fibrosis stage and predicting it. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 8, 2019 Category: Intensive Care Source Type: research

IJCARS: BVM 2019 special issue
(Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 6, 2019 Category: Intensive Care Source Type: research

Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs
ConclusionsThe results indicate that the incorporation of prior shape knowledge enhances liver segmentation tasks in deep CNN models. The proposed method improves the generalization and robustness of the hybrid model due to the abstract features provided by the data-driven loss model. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - November 4, 2019 Category: Intensive Care Source Type: research

Temporally downsampled cerebral CT perfusion image restoration using deep residual learning
ConclusionThe trained model can restore the temporally downsampled 15-pass CTP to 30 passes very well. According to the contrast test, sufficient information cannot be restored with, e.g., simple interpolation method and deep convolutional generative adversarial network, but can be restored with the proposed CNN model. This method can be an optional way to reduce radiation dose during CTP imaging. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 31, 2019 Category: Intensive Care Source Type: research

A novel RBF-based predictive tool for facial distraction surgery in growing children with syndromic craniosynostosis
ConclusionsOur novel, landmark-based, weighted RBF can predict the outcome for facial distraction in younger and older children with a variety of head and face shapes. It can replicate the surgical reality of composite bone and skin movement jointly in one model. The potential applications include audit of existing patient outcomes, and predicting outcome for new patients to aid surgical planning. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 31, 2019 Category: Intensive Care Source Type: research

Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos
Conclusion  This preliminary study validates that a prediction of the surgical exposure from spatial features is possible. The analysis of the clusters of feature selected by the algorithm also shows encouraging results and potential clinical interpretations. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 31, 2019 Category: Intensive Care Source Type: research

Similarity of individual functional brain connectivity patterns formed by music listening quantified with a data-driven approach
This study aims to explore the similarities in functional connectivity (FC) patterns in individuals when listening to different music genres and, in comparison, to the spoken word, using a novel data-driven approach. Our model and findings can potentially be utilized for evaluating the neurological effects of therapeutic music interventions.Materials and methodsTwelve healthy volunteers listened to seven different sound tracks while undergoing functional magnetic resonance imaging (fMRI) scans: music of the volunteer ’s choice with positive emotional attachment, two selections of unfamiliar classical music, one class...
Source: International Journal of Computer Assisted Radiology and Surgery - October 26, 2019 Category: Intensive Care Source Type: research

Design, characterization and optimization of a soft fluidic actuator for minimally invasive surgery
ConclusionIn this work, a proof of concept of a soft fluidic actuator for a steerable catheter has been designed, developed and characterized. It showed promising results concerning the feasibility of a miniaturized actuator with two degrees of freedom. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 23, 2019 Category: Intensive Care Source Type: research

Body-mounted robotic assistant for MRI-guided low back pain injection
ConclusionsThe study demonstrates that the proposed body-mounted robotic system is able to perform MRI-guided low back injection in a phantom study with sufficient accuracy and with minimal visible image degradation that should not affect the procedure. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 17, 2019 Category: Intensive Care Source Type: research

Automatic atlas-based liver segmental anatomy identification for hepatic surgical planning
ConclusionAutomatic liver segmental anatomy identification assists the surgeons for liver analysis in a robust and reproducible way. The anatomic segments with other liver structures construct a 3D visualization tool that is used by the surgeons to study clearly the liver anatomy and the extension of the cancer inside the liver. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 15, 2019 Category: Intensive Care Source Type: research

Multiresolution vessel detection in magnetic particle imaging using wavelets and a Gaussian mixture model
ConclusionsThe early detection of the vessel structures at low resolution helps to improve the image quality. For the wavelet decomposition, the use of 9/7 wavelets is recommended. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 15, 2019 Category: Intensive Care Source Type: research

Some germinal roots of AI and their impact on Computer Assisted Radiology and Surgery (CARS)
(Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 12, 2019 Category: Intensive Care Source Type: research

Soft tissue deformation tracking by means of an optimized fiducial marker layout with application to cancer tumors
ConclusionsThe proposed framework can optimize FM layout to effectively reduce the errors in the intraoperative deformation prediction process, thus bridging the gap between preoperative imaging and intraoperative tissue deformation. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 12, 2019 Category: Intensive Care Source Type: research

Objective classification of psychomotor laparoscopic skills of surgeons based on three different approaches
AbstractBackgroundThe determination of surgeons ’ psychomotor skills in minimally invasive surgery techniques is one of the major concerns of the programs of surgical training in several hospitals. Therefore, it is important to assess and classify objectively the level of experience of surgeons and residents during their training process. The a im of this study was to investigate three classification methods for establishing automatically the level of surgical competence of the surgeons based on their psychomotor laparoscopic skills.MethodsA total of 43 participants, divided into an experienced surgeons group with te...
Source: International Journal of Computer Assisted Radiology and Surgery - October 11, 2019 Category: Intensive Care Source Type: research

A microsurgical robot research platform for robot-assisted microsurgery research and training
ConclusionResults indicated that the MRRP can be utilized for microsurgical skills training, since motion kinematic data and vision data can provide objective means of verification and scoring. The proposed system can further be used for verifying high-level control algorithms and task automation for RAMS research. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 11, 2019 Category: Intensive Care Source Type: research

Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences
ConclusionOur approach enables to segment the mitral valve in 4D TEE image data with normal and pathological valve closing behavior. With this method, in addition to the quantification of the remaining orifice area, shape and dimensions of the coaptation zone can be analyzed and considered for planning and surgical result assessment. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - October 9, 2019 Category: Intensive Care Source Type: research

Deep learning for World Health Organization grades of pancreatic neuroendocrine tumors on contrast-enhanced magnetic resonance images: a preliminary study
ConclusionSynthetic images generated from GAN could be used to alleviate the difficulty of radiological image collection for uncommon disease like PNET. With the help of GAN, the CNN showed the potential to predict the WHO grades of PNET on contrast-enhanced MR images. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 26, 2019 Category: Intensive Care Source Type: research

Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
Conclusion  Our proposed memory-efficient registration method performs better than state-of-the-art conventional registration methods. By using a volume change control term in the loss function, the number of occurring foldings can be considerably reduced on new registration cases. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 19, 2019 Category: Intensive Care Source Type: research

IJCARS-MICCAI 2018 special issue
(Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 14, 2019 Category: Intensive Care Source Type: research

Touchless scanner control to support MRI-guided interventions
ConclusionThis work contributes by (1) providing access to relevant functions on an MRI scanner during percutaneous interventions in a (2) suitable way for sterile human –computer interaction. The introduced concept removes indirect interaction with the scanner via an assistant, which leads to comparable subjective workload and task completion times while showing higher perceived usability. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 13, 2019 Category: Intensive Care Source Type: research

PET/CT-guided biopsy with respiratory motion correction
ConclusionThe RASP method can produce PET images with reduced noise, attenuation artifacts and respiratory motion, resulting in more accurate lesion localization. Testing the PET/CT-guided biopsy workflow using computer simulation and physical phantoms with respiratory motion, we demonstrated that guided biopsy procedure with the RASP method can benefit from improved PET image quality due to noise reduction, without compromising the accuracy of lesion localization. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - September 11, 2019 Category: Intensive Care Source Type: research