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International Journal of Computer Assisted Radiology and Surgery

Isabel Funke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel
PURPOSE: A profound education of novice surgeons is crucial to ensure that surgical interventions are effective and safe. One important aspect is the teaching of technical skills for minimally invasive or robot-assisted procedures. This includes the objective and preferably automatic assessment of surgical skill. Recent studies presented good results for automatic, objective skill evaluation by collecting and analyzing motion data such as trajectories of surgical instruments. However, obtaining the motion data generally requires additional equipment for instrument tracking or the availability of a robotic surgery system to capture kinematic data...
May 18, 2019: International Journal of Computer Assisted Radiology and Surgery
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May 18, 2019: International Journal of Computer Assisted Radiology and Surgery
V Chaplin, M A Phipps, S V Jonathan, W A Grissom, P F Yang, L M Chen, C F Caskey
PURPOSE: Transcranial focused ultrasound (FUS) is increasingly being explored to modulate neuronal activity. To target neuromodulation, researchers often localize the FUS beam onto the brain region(s) of interest using spatially tracked tools overlaid on pre-acquired images. Here, we quantify the accuracy of optically tracked image-guided FUS with magnetic resonance imaging (MRI) thermometry, evaluate sources of error and demonstrate feasibility of these procedures to target the macaque somatosensory region...
May 8, 2019: International Journal of Computer Assisted Radiology and Surgery
Leah A Groves, Patrick Carnahan, Daniel R Allen, Rankin Adam, Terry M Peters, Elvis C S Chen
PURPOSE: We report on the development and accuracy assessment of a hybrid tracking system that integrates optical spatial tracking into a video pass-through head-mounted display. METHODS: The hybrid system uses a dual-tracked co-calibration apparatus to provide a co-registration between the origins of an optical dynamic reference frame and the VIVE Pro controller through a point-based registration. This registration provides the location of optically tracked tools with respect to the VIVE controller's origin and thus the VIVE's tracking system...
May 8, 2019: International Journal of Computer Assisted Radiology and Surgery
Akash Nayak, Esha Baidya Kayal, Manish Arya, Jayanth Culli, Sonal Krishan, Sumeet Agarwal, Amit Mehndiratta
PURPOSE: High mortality rate due to liver cirrhosis has been reported over the globe in the previous years. Early detection of cirrhosis may help in controlling the disease progression toward hepatocellular carcinoma (HCC). The lack of trained CT radiologists and increased patient population delays the diagnosis and further management. This study proposes a computer-aided diagnosis system for detecting cirrhosis and HCC in a very efficient and less time-consuming approach. METHODS: Contrast-enhanced CT dataset of 40 patients (n = 40; M:F = 5:3; age = 25-55 years) with three groups of subjects: healthy (n = 14), cirrhosis (n = 12) and cirrhosis with HCC (n = 14), were retrospectively analyzed in this study...
May 6, 2019: International Journal of Computer Assisted Radiology and Surgery
Apeksha Avinash, Alaa Eldin Abdelaal, Prateek Mathur, Septimiu E Salcudean
PURPOSE: The current state-of-the-art surgical robotic systems use only a single endoscope to view the surgical field. Research has been conducted to introduce additional cameras to the surgical system, giving rise to new camera angles that cannot be achieved using the endoscope alone. While this additional visualization certainly aids in surgical performance, current systems lack visual-motor compatibility with respect to the additional camera views. We propose a new system that overcomes this limitation...
May 6, 2019: International Journal of Computer Assisted Radiology and Surgery
Yuan Dong, Chenxi Zhang, Dafeng Ji, Manning Wang, Zhijian Song
PURPOSE: The conventional surface-based method only registers the facial zone with preoperative point cloud, resulting in low accuracy away from the facial area. Acquiring a point cloud of the entire head for registration can improve registration accuracy in all parts of the head. However, it takes a long time to collect a point cloud of the entire head. It may be more practical to selectively scan part of the head to ensure high registration accuracy in the surgical area of interest...
May 4, 2019: International Journal of Computer Assisted Radiology and Surgery
Juliane Neumann, Stefan Franke, Max Rockstroh, Martin Kasparick, Thomas Neumuth
PURPOSE: Surgical workflow management in integrated operating rooms (ORs) enables the implementation of novel computer-aided surgical assistance and new applications in process automation, situation awareness, and decision support. The context-sensitive configuration and orchestration of interoperable, networked medical devices is a prerequisite for an effective reduction in the surgeons' workload, by providing the right service and right information at the right time. The information about the surgical situation must be described as surgical process models and distributed to the medical devices and IT systems in the OR...
May 4, 2019: International Journal of Computer Assisted Radiology and Surgery
Akira Yamada, Kazuki Oyama, Sachie Fujita, Eriko Yoshizawa, Fumihito Ichinohe, Daisuke Komatsu, Yasunari Fujinaga
PURPOSE: To evaluate the effect of image registration on the diagnostic performance of transfer learning (TL) using pretrained convolutional neural networks (CNNs) and three-phasic dynamic contrast-enhanced computed tomography (DCE-CT) for primary liver cancers. METHODS: We retrospectively evaluated 215 consecutive patients with histologically proven primary liver cancers, including six early, 58 well-differentiated, 109 moderately differentiated, 29 poorly differentiated hepatocellular carcinomas (HCCs), and 13 non-HCC malignant lesions containing cholangiocellular components...
May 3, 2019: International Journal of Computer Assisted Radiology and Surgery
Helen O'Grady, Khalid Mostafa, Haroon Zafar, Derek Lohan, Liam Morris, Faisal Sharif
PURPOSE: The presence and progression of heart failure (HF) are associated with cardiac remodelling, defined as cellular, molecular and interstitial changes which occur after injury and manifest as changes in left ventricular (LV) size, mass, geometry and function. This research study was designed to investigate the changes to LV morphology and shape which occur in the presence of heart failure using three-dimensional (3D) modelling and analysis of cardiac-gated CT scans from both healthy individuals and patients classified with HF...
May 3, 2019: International Journal of Computer Assisted Radiology and Surgery
Philipp Berg, Samuel Voß, Gábor Janiga, Sylvia Saalfeld, Aslak W Bergersen, Kristian Valen-Sendstad, Jan Bruening, Leonid Goubergrits, Andreas Spuler, Tin Lok Chiu, Anderson Chun On Tsang, Gabriele Copelli, Benjamin Csippa, György Paál, Gábor Závodszky, Felicitas J Detmer, Bong J Chung, Juan R Cebral, Soichiro Fujimura, Hiroyuki Takao, Christof Karmonik, Saba Elias, Nicole M Cancelliere, Mehdi Najafi, David A Steinman, Vitor M Pereira, Senol Piskin, Ender A Finol, Mariya Pravdivtseva, Prasanth Velvaluri, Hamidreza Rajabzadeh-Oghaz, Nikhil Paliwal, Hui Meng, Santhosh Seshadhri, Sreenivas Venguru, Masaaki Shojima, Sergey Sindeev, Sergey Frolov, Yi Qian, Yu-An Wu, Kent D Carlson, David F Kallmes, Dan Dragomir-Daescu, Oliver Beuing
PURPOSE: Assessing the rupture probability of intracranial aneurysms (IAs) remains challenging. Therefore, hemodynamic simulations are increasingly applied toward supporting physicians during treatment planning. However, due to several assumptions, the clinical acceptance of these methods remains limited. METHODS: To provide an overview of state-of-the-art blood flow simulation capabilities, the Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH) was conducted. Seventeen research groups from all over the world performed segmentations and hemodynamic simulations to identify the ruptured aneurysm in a patient harboring five IAs...
May 3, 2019: International Journal of Computer Assisted Radiology and Surgery
Xinyi Li, Fei Jiang, Yi Guo, Zhendong Jin, Yuanyuan Wang
PURPOSE: The purpose of our study is to propose a preoperative computer-aided diagnosis system based on a radiomics method to differentiate gastrointestinal stromal tumors (GISTs) of the higher-risk group (HRG) from those of the lower-risk group (LRG) on endoscopic ultrasound (EUS) images. MATERIALS AND METHOD: Gastro-EUS (G-EUS) images of four different risk level GISTs were collected from 19 hospitals. The datasheet included 168 case HRG GISTs and 747 case LRG GISTs...
May 2, 2019: International Journal of Computer Assisted Radiology and Surgery
Firat Ozdemir, Orcun Goksel
PURPOSE: For comprehensive surgical planning with sophisticated patient-specific models, all relevant anatomical structures need to be segmented. This could be achieved using deep neural networks given sufficiently many annotated samples; however, datasets of multiple annotated structures are often unavailable in practice and costly to procure. Therefore, being able to build segmentation models with datasets from different studies and centers in an incremental fashion is highly desirable...
May 2, 2019: International Journal of Computer Assisted Radiology and Surgery
Farid Ouhmich, Vincent Agnus, Vincent Noblet, Fabrice Heitz, Patrick Pessaux
PURPOSE: We address the automatic segmentation of healthy and cancerous liver tissues (parenchyma, active and necrotic parts of hepatocellular carcinoma (HCC) tumor) on multiphase CT images using a deep learning approach. METHODS: We devise a cascaded convolutional neural network based on the U-Net architecture. Two strategies for dealing with multiphase information are compared: Single-phase images are concatenated in a multi-dimensional features map on the input layer, or output maps are computed independently for each phase before being merged to produce the final segmentation...
April 30, 2019: International Journal of Computer Assisted Radiology and Surgery
Robert DiPietro, Narges Ahmidi, Anand Malpani, Madeleine Waldram, Gyusung I Lee, Mija R Lee, S Swaroop Vedula, Gregory D Hager
PURPOSE: Automatically segmenting and classifying surgical activities is an important prerequisite to providing automated, targeted assessment and feedback during surgical training. Prior work has focused almost exclusively on recognizing gestures, or short, atomic units of activity such as pushing needle through tissue, whereas we also focus on recognizing higher-level maneuvers, such as suture throw. Maneuvers exhibit more complexity and variability than the gestures from which they are composed, however working at this granularity has the benefit of being consistent with existing training curricula...
April 29, 2019: International Journal of Computer Assisted Radiology and Surgery
Stephen Hinds, Herman Alexander Jaeger, Richard Burke, Brodie O'Sullivan, Joseph Keane, Fabian Trauzettel, Bruno Marques, Stéphane Cotin, Brian Bird, Håkon Olav Leira, Erlend Fagertun Hofstad, Ole Vegard Solberg, Thomas Langø, Pádraig Cantillon-Murphy
PURPOSE: Electromagnetic tracking is a core platform technology in the navigation and visualisation of image-guided procedures. The technology provides high tracking accuracy in non-line-of-sight environments, allowing instrument navigation in locations where optical tracking is not feasible. EMT can be beneficial in applications such as percutaneous radiofrequency ablation for the treatment of hepatic lesions where the needle tip may be obscured due to difficult liver environments (e...
April 27, 2019: International Journal of Computer Assisted Radiology and Surgery
Li Gong, Shan Jiang, Zhiyong Yang, Guobin Zhang, Lu Wang
PURPOSE: Pulmonary nodule detection has great significance for early treating lung cancer and increasing patient survival. This work presents a novel automated computer-aided detection scheme for pulmonary nodules based on deep convolutional neural networks (DCNNs). METHODS: The proposed approach employs 3D DCNNs based on squeeze-and-excitation network and residual network (SE-ResNet) for pulmonary nodule candidate detection and false-positive reduction. Specifically, a 3D region proposal network with a U-Net-like structure is designed for detecting pulmonary nodule candidates...
April 26, 2019: International Journal of Computer Assisted Radiology and Surgery
Kimerly A Powell, Tanisha Kashikar, Brad Hittle, Don Stredney, Thomas Kerwin, Gregory J Wiet
PURPOSE: To develop a time-efficient automated segmentation approach that could identify surface structures on the temporal bone for use in surgical simulation software and preoperative surgical training. METHODS: An atlas-based segmentation approach was developed to segment the tegmen, sigmoid sulcus, exterior auditory canal, interior auditory canal, and posterior canal wall in normal temporal bone CT images. This approach was tested in images of 20 cadaver bones (10 left, 10 right)...
April 25, 2019: International Journal of Computer Assisted Radiology and Surgery
Mundher Al-Shabi, Boon Leong Lan, Wai Yee Chan, Kwan-Hoong Ng, Maxine Tan
PURPOSE: Lung nodules have very diverse shapes and sizes, which makes classifying them as benign/malignant a challenging problem. In this paper, we propose a novel method to predict the malignancy of nodules that have the capability to analyze the shape and size of a nodule using a global feature extractor, as well as the density and structure of the nodule using a local feature extractor. METHODS: We propose to use Residual Blocks with a 3 × 3 kernel size for local feature extraction and Non-Local Blocks to extract the global features...
April 24, 2019: International Journal of Computer Assisted Radiology and Surgery
Xiaohui Zhang, Junchen Wang, Tianmiao Wang, Xuquan Ji, Yu Shen, Zhen Sun, Xuebin Zhang
Purpose Video see-through augmented reality (VST-AR) navigation for laparoscopic partial nephrectomy (LPN) can enhance intraoperative perception of surgeons by visualizing surgical targets and critical structures of the kidney tissue. Image registration is the main challenge in the procedure. Existing registration methods in laparoscopic navigation systems suffer from limitations such as manual alignment, invasive external marker fixation, relying on external tracking devices with bulky tracking sensors and lack of deformation compensation...
April 23, 2019: International Journal of Computer Assisted Radiology and Surgery
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