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International Journal of Computer Assisted Radiology and Surgery

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https://www.readbyqxmd.com/read/28914409/evaluation-of-contactless-human-machine-interface-for-robotic-surgical-training
#1
Fabien Despinoy, Nabil Zemiti, Germain Forestier, Alonso Sánchez, Pierre Jannin, Philippe Poignet
PURPOSE: Teleoperated robotic systems are nowadays routinely used for specific interventions. Benefits of robotic training courses have already been acknowledged by the community since manipulation of such systems requires dedicated training. However, robotic surgical simulators remain expensive and require a dedicated human-machine interface. METHODS: We present a low-cost contactless optical sensor, the Leap Motion, as a novel control device to manipulate the RAVEN-II robot...
September 15, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28913728/shoulder-strengthening-exercises-adapted-to-specific-shoulder-pathologies-can-be-selected-using-new-simulation-techniques-a-pilot-study
#2
Caecilia Charbonnier, Alexandre Lädermann, Bart Kevelham, Sylvain Chagué, Pierre Hoffmeyer, Nicolas Holzer
PURPOSE: Shoulder strength training exercises represent a major component of rehabilitation protocols designed for conservative or postsurgical management of shoulder pathologies. Numerous methods are described for exercising each shoulder muscle or muscle group. Limited information is available to assess potential deleterious effects of individual methods with respect to specific shoulder pathologies. Thus, the goal of this pilot study was to use a patient-specific 3D measurement technique coupling medical imaging and optical motion capture for evaluation of a set of shoulder strength training exercises regarding glenohumeral, labral and subacromial compression, as well as elongation of the rotator cuff muscles...
September 14, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28887783/a-novel-integration-of-spectral-domain-optical-coherence-tomography-and-laser-ablation-system-for-precision-treatment
#3
Yingwei Fan, Boyu Zhang, Wei Chang, Xinran Zhang, Hongen Liao
PURPOSE: Complete resection of diseased lesions reduces the recurrence of cancer, making it critical for surgical treatment. However, precisely resecting residual tumors is a challenge during operation. A novel integrated spectral-domain optical-coherence-tomography (SD-OCT) and laser-ablation therapy system for soft-biological-tissue resection is proposed. This is a prototype optical integrated diagnosis and therapeutic system as well as an optical theranostics system. METHODS: We develop an optical theranostics system, which integrates SD-OCT, a laser-ablation unit, and an automatic scanning platform...
September 9, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28861708/breast-cancer-cell-nuclei-classification-in-histopathology-images-using-deep-neural-networks
#4
REVIEW
Yangqin Feng, Lei Zhang, Zhang Yi
PURPOSE: Cell nuclei classification in breast cancer histopathology images plays an important role in effective diagnose since breast cancer can often be characterized by its expression in cell nuclei. However, due to the small and variant sizes of cell nuclei, and heavy noise in histopathology images, traditional machine learning methods cannot achieve desirable recognition accuracy. To address this challenge, this paper aims to present a novel deep neural network which performs representation learning and cell nuclei recognition in an end-to-end manner...
August 31, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28861704/multimodal-image-registration-based-on-binary-gradient-angle-descriptor
#5
Dongsheng Jiang, Yonghong Shi, Demin Yao, Yifeng Fan, Manning Wang, Zhijian Song
PURPOSE: Multimodal image registration plays an important role in image-guided interventions/therapy and atlas building, and it is still a challenging task due to the complex intensity variations in different modalities. METHODS: The paper addresses the problem and proposes a simple, compact, fast and generally applicable modality-independent binary gradient angle descriptor (BGA) based on the rationale of gradient orientation alignment. The BGA can be easily calculated at each voxel by coding the quadrant in which a local gradient vector falls, and it has an extremely low computational complexity, requiring only three convolutions, two multiplication operations and two comparison operations...
August 31, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28861702/simulation-of-facial-expressions-using-person-specific-semg-signals-controlling-a-biomechanical-face-model
#6
Merijn Eskes, Alfons J M Balm, Maarten J A van Alphen, Ludi E Smeele, Ian Stavness, Ferdinand van der Heijden
PURPOSE: Functional inoperability in advanced oral cancer is difficult to assess preoperatively. To assess functions of lips and tongue, biomechanical models are required. Apart from adjusting generic models to individual anatomy, muscle activation patterns (MAPs) driving patient-specific functional movements are necessary to predict remaining functional outcome. We aim to evaluate how volunteer-specific MAPs derived from surface electromyographic (sEMG) signals control a biomechanical face model...
August 31, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28861700/a-method-for-going-from-2d-laparoscope-to-3d-acquisition-of-surface-landmarks-by-a-novel-computer-vision-approach
#7
Marc Garbey, Toan B Nguyen, Albert Y Huang, Vid Fikfak, Brian J Dunkin
PURPOSE: This paper presents a method to use the Smart Trocars-our new surgical instrument recognition system-or any accurate localization system of surgical instrument for acquiring intraoperative surface data. Complex laparoscopic surgeries need a proper guidance system which requires registering the preoperative data from a CT or MRI scan to the intraoperative patient state. The Smart Trocar can be used to localize the instruments when it comes to contact with the soft tissue surface...
August 31, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28861693/mixed-reality-ultrasound-guidance-system-a-case-study-in-system-development-and-a-cautionary-tale
#8
Golafsoun Ameri, John S H Baxter, Daniel Bainbridge, Terry M Peters, Elvis C S Chen
PURPOSE: Real-time ultrasound has become a crucial aspect of several image-guided interventions. One of the main constraints of such an approach is the difficulty in interpretability of the limited field of view of the image, a problem that has recently been addressed using mixed reality, such as augmented reality and augmented virtuality. The growing popularity and maturity of mixed reality has led to a series of informal guidelines to direct development of new systems and to facilitate regulatory approval...
August 31, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28856515/automatic-detection-of-new-tumors-and-tumor-burden-evaluation-in-longitudinal-liver-ct-scan-studies
#9
R Vivanti, A Szeskin, N Lev-Cohain, J Sosna, L Joskowicz
PURPOSE: Radiological longitudinal follow-up of liver tumors in CT scans is the standard of care for disease progression assessment and for liver tumor therapy. Finding new tumors in the follow-up scan is essential to determine malignancy, to evaluate the total tumor burden, and to determine treatment efficacy. Since new tumors are typically small, they may be missed by examining radiologists. METHODS: We describe a new method for the automatic detection and segmentation of new tumors in longitudinal liver CT studies and for liver tumors burden quantification...
August 30, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28852986/a-simulator-for-advanced-analysis-of-a-5-dof-em-tracking-systems-in-use-for-image-guided-surgery
#10
Mengfei Li, Christian Hansen, Georg Rose
PURPOSE: To assess the accuracy of medical electromagnetic tracking systems, reference positioning systems are generally required. Errors are unavoidable in such systems, and despite how tiny they may be, prevent the ground truth from being known. In this work, a simulator was developed and used to analyze the theoretical system performances in electromagnetic tracking. METHODS: To simulate the entire tracking process, the magnetic dipole model, Faraday's law, and a mathematical optimization algorithm are applied...
August 29, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28852952/atlas-based-segmentation-of-temporal-bone-anatomy
#11
Kimerly A Powell, Tong Liang, Brad Hittle, Don Stredney, Thomas Kerwin, Gregory J Wiet
PURPOSE: To develop a time-efficient automated segmentation approach that could identify critical structures in the temporal bone for visual enhancement and use in surgical simulation software. METHODS: An atlas-based segmentation approach was developed to segment the cochlea, ossicles, semicircular canals (SCCs), and facial nerve in normal temporal bone CT images. This approach was tested in images of 26 cadaver bones (13 left, 13 right). The results of the automated segmentation were compared to manual segmentation visually and using DICE metric, average Hausdorff distance, and volume similarity...
August 29, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28825199/comparison-of-the-goals-and-mistels-scores-for-the-evaluation-of-surgeons-on-training-benches
#12
Rémi Wolf, Maud Medici, Gaëlle Fiard, Jean-Alexandre Long, Alexandre Moreau-Gaudry, Philippe Cinquin, Sandrine Voros
PURPOSE: Evaluation of surgical technical abilities is a major issue in minimally invasive surgery. Devices such as training benches offer specific scores to evaluate surgeons but cannot transfer in the operating room (OR). A contrario, several scores measure performance in the OR, but have not been evaluated on training benches. Our aim was to demonstrate that the GOALS score, which can effectively grade in the OR the abilities involved in laparoscopy, can be used for evaluation on a laparoscopic testbench (MISTELS)...
August 20, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28801817/contour-segmentation-of-the-intima-media-and-adventitia-layers-in-intracoronary-oct-images-application-to-fully-automatic-detection-of-healthy-wall-regions
#13
Guillaume Zahnd, Ayla Hoogendoorn, Nicolas Combaret, Antonios Karanasos, Emilie Péry, Laurent Sarry, Pascal Motreff, Wiro Niessen, Evelyn Regar, Gijs van Soest, Frank Gijsen, Theo van Walsum
PURPOSE: Quantitative and automatic analysis of intracoronary optical coherence tomography images is useful and time-saving to assess cardiovascular risk in the clinical arena. METHODS: First, the interfaces of the intima, media, and adventitia layers are segmented, by means of an original front propagation scheme, running in a 4D multi-parametric space, to simultaneously extract three non-crossing contours in the initial cross-sectional image. Second, information resulting from the tentative contours is exploited by a machine learning approach to identify healthy and diseased regions of the arterial wall...
August 11, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28801767/experimental-validation-of-predicted-application-accuracies-for-computer-assisted-cas-intraoperative-navigation-with-paired-point-registration
#14
Martina Perwög, Zoltan Bardosi, Wolfgang Freysinger
PURPOSE: The target registration error (TRE) is a crucial parameter to estimate the potential usefulness of computer-assisted navigation intraoperatively. Both image-to-patient registration on base of rigid-body registration and TRE prediction methods are available for spatially isotropic and anisotropic data. This study presents a thorough validation of data obtained in an experimental operating room setting with CT images. METHODS: Optical tracking was used to register a plastic skull, an anatomic specimen, and a volunteer to their respective CT images...
August 11, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28795318/a-unified-methodology-based-on-sparse-field-level-sets-and-boosting-algorithms-for-false-positives-reduction-in-lung-nodules-detection
#15
Soudeh Saien, Hamid Abrishami Moghaddam, Mohsen Fathian
PURPOSE: This work aims to develop a unified methodology for the false positives reduction in lung nodules computer-aided detection schemes. METHODS: The 3D region of each detected nodule candidate is first reconstructed using the sparse field method for accurately segmenting the objects. This technique enhances the level set modeling by restricting the computations to a narrow band near the evolving curve. Then, a set of 2D and 3D relevant features are extracted for each segmented candidate...
August 9, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28785960/spine-labeling-in-mri-via-regularized-distribution-matching
#16
Seyed-Parsa Hojjat, Ismail Ayed, Gregory J Garvin, Kumaradevan Punithakumar
PURPOSE: This study investigates an efficient (nearly real-time) two-stage spine labeling algorithm that removes the need for an external training while being applicable to different types of MRI data and acquisition protocols. METHODS: Based solely on the image being labeled (i.e., we do not use training data), the first stage aims at detecting potential vertebra candidates following the optimization of a functional containing two terms: (i) a distribution-matching term that encodes contextual information about the vertebrae via a density model learned from a very simple user input, which amounts to a point (mouse click) on a predefined vertebra; and (ii) a regularization constraint, which penalizes isolated candidates in the solution...
August 7, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28785959/the-computer-aided-parallel-external-fixator-for-complex-lower-limb-deformity-correction
#17
Mengting Wei, Jianwen Chen, Yue Guo, Hao Sun
PURPOSE: Since parameters of the parallel external fixator are difficult to measure and calculate in real applications, this study developed computer software that can help the doctor measure parameters using digital technology and generate an electronic prescription for deformity correction. METHODS: According to Paley's deformity measurement method, we provided digital measurement techniques. In addition, we proposed an deformity correction algorithm to calculate the elongations of the six struts and developed a electronic prescription software...
August 7, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28779275/augmented-reality-surgical-navigation-with-ultrasound-assisted-registration-for-pedicle-screw-placement-a-pilot-study
#18
Longfei Ma, Zhe Zhao, Fang Chen, Boyu Zhang, Ligong Fu, Hongen Liao
PURPOSE: We present a novel augmented reality (AR) surgical navigation system based on ultrasound-assisted registration for pedicle screw placement. This system provides the clinically desired targeting accuracy and reduces radiation exposure. METHODS: Ultrasound (US) is used to perform registration between preoperative computed tomography (CT) images and patient, and the registration is performed by least-squares fitting of these two three-dimensional (3D) point sets of anatomical landmarks taken from US and CT images...
August 5, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28766177/using-needle-orientation-sensing-as-surrogate-signal-for-respiratory-motion-estimation-in-percutaneous-interventions
#19
Momen Abayazid, Takahisa Kato, Stuart G Silverman, Nobuhiko Hata
PURPOSE: To develop and evaluate an approach to estimate the respiratory-induced motion of lesions in the chest and abdomen. MATERIALS AND METHODS: The proposed approach uses the motion of an initial reference needle inserted into a moving organ to estimate the lesion (target) displacement that is caused by respiration. The needles position is measured using an inertial measurement unit (IMU) sensor externally attached to the hub of an initially placed reference needle...
August 1, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28762196/ultrasound-image-based-thyroid-nodule-automatic-segmentation-using-convolutional-neural-networks
#20
Jinlian Ma, Fa Wu, Tian'an Jiang, Qiyu Zhao, Dexing Kong
PURPOSE: Delineation of thyroid nodule boundaries from ultrasound images plays an important role in calculation of clinical indices and diagnosis of thyroid diseases. However, it is challenging for accurate and automatic segmentation of thyroid nodules because of their heterogeneous appearance and components similar to the background. In this study, we employ a deep convolutional neural network (CNN) to automatically segment thyroid nodules from ultrasound images. METHODS: Our CNN-based method formulates a thyroid nodule segmentation problem as a patch classification task, where the relationship among patches is ignored...
July 31, 2017: International Journal of Computer Assisted Radiology and Surgery
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