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International Journal of Computer Assisted Radiology and Surgery

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https://www.readbyqxmd.com/read/30232706/influence-of-fiber-connectivity-in-simulations-of-cardiac-biomechanics
#1
D Gil, R Aris, A Borras, E Ramirez, R Sebastian, M Vazquez
PURPOSE: Personalized computational simulations of the heart could open up new improved approaches to diagnosis and surgery assistance systems. While it is fully recognized that myocardial fiber orientation is central for the construction of realistic computational models of cardiac electromechanics, the role of its overall architecture and connectivity remains unclear. Morphological studies show that the distribution of cardiac muscular fibers at the basal ring connects epicardium and endocardium...
September 19, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30229363/imfeatbox-a-toolbox-for-extraction-and-analysis-of-medical-image-features
#2
Annika Liebgott, Thomas Küstner, Heiko Strohmeier, Tobias Hepp, Philipp Mangold, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Bin Yang, Sergios Gatidis
PURPOSE: In medical imaging, the digital post-processing and analysis of acquired images has become an important research field. Topics include various applications of image processing and machine learning aiming to assist radiologists in their diagnostic work. A crucial step in successfully implementing such systems is finding appropriate mathematical descriptions to reflect characteristics of acquired images. Which features are the most meaningful ones strongly depends on the underlying scientific/diagnostic question and the image itself...
September 18, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30196337/comparative-analysis-of-surgical-processes-for-image-guided-endoscopic-sinus-surgery
#3
Takaaki Sugino, Ryoichi Nakamura, Akihito Kuboki, Osamu Honda, Masashi Yamamoto, Nobuyoshi Ohtori
PURPOSE: This study proposes a method to analyze surgical performance by modeling, aligning, and comparing surgical processes. This method is intended to serve as a means to support the enhancement of surgical skills for endoscopic sinus surgeries (ESSs). We focus on surgical navigation systems used in image-guided ESSs and aim to construct a comparative analysis method for surgical processes based on the information about the surgical instruments motion obtained from the navigation system...
September 8, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30194565/fcn-based-approach-for-the-automatic-segmentation-of-bone-surfaces-in-ultrasound-images
#4
M Villa, G Dardenne, M Nasan, H Letissier, C Hamitouche, E Stindel
PURPOSE: A new algorithm, based on fully convolutional networks (FCN), is proposed for the automatic localization of the bone interface in ultrasound (US) images. The aim of this paper is to compare and validate this method with (1) a manual segmentation and (2) a state-of-the-art method called confidence in phase symmetry (CPS). METHODS: The dataset used for this study was composed of 1738 US images collected from three volunteers and manually delineated by three experts...
September 7, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30173335/fully-automatic-segmentation-of-paraspinal-muscles-from-3d-torso-ct-images-via-multi-scale-iterative-random-forest-classifications
#5
Naoki Kamiya, Jing Li, Masanori Kume, Hiroshi Fujita, Dinggang Shen, Guoyan Zheng
PURPOSE: To develop and validate a fully automatic method for segmentation of paraspinal muscles from 3D torso CT images. METHODS: We propose a novel learning-based method to address this challenging problem. Multi-scale iterative random forest classifications with multi-source information are employed in this study to speed up the segmentation and to improve the accuracy. Here, multi-source images include the original torso CT images and later also the iteratively estimated and refined probability maps of the paraspinal muscles...
September 1, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30173334/mr-conditional-steerable-needle-robot-for-intracerebral-hemorrhage-removal
#6
Yue Chen, Isuru S Godage, Saikat Sengupta, Cindy Lin Liu, Kyle D Weaver, Eric J Barth
BACKGROUND: Intracerebral hemorrhage (ICH) is one of the deadliest forms of stroke in the USA. Conventional surgical techniques such as craniotomy or stereotactic aspiration disrupt a large volume of healthy brain tissue in their attempts to reach the surgical site. Consequently, the surviving patients suffer from debilitating complications. METHODS: We fabricated a novel MR-conditional steerable needle robot for ICH treatment. The robot system is powered by a custom-designed high power and low-cost pneumatic motor...
September 1, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30171444/standard-navigation-versus-intraoperative-computed-tomography-navigation-in-upper-cervical-spine-trauma
#7
Barbara Carl, Miriam Bopp, Mirza Pojskic, Benjamin Voellger, Christopher Nimsky
PURPOSE: In surgery of C1-C2 fractures, standard navigation for screw placement based on preoperative image data was compared with intraoperative imaging guidance applying intraoperative computed tomography (iCT) with a special focus on accuracy of screw placement, workflow, and radiation exposure. METHODS: A single surgeon series of 16 consecutive patients with C1-C2 trauma was retrospectively analyzed. Seven patients were operated with standard navigation; preoperative image data were registered by a 20-point surface-matching process for each vertebra...
August 31, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30159833/classification-of-lung-adenocarcinoma-transcriptome-subtypes-from-pathological-images-using-deep-convolutional-networks
#8
Victor Andrew A Antonio, Naoaki Ono, Akira Saito, Tetsuo Sato, Md Altaf-Ul-Amin, Shigehiko Kanaya
PURPOSE: Convolutional neural networks have become rapidly popular for image recognition and image analysis because of its powerful potential. In this paper, we developed a method for classifying subtypes of lung adenocarcinoma from pathological images using neural network whose that can evaluate phenotypic features from wider area to consider cellular distributions. METHODS: In order to recognize the types of tumors, we need not only to detail features of cells, but also to incorporate statistical distribution of the different types of cells...
August 29, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30159832/semiautomatic-neck-curve-reconstruction-for-intracranial-aneurysm-rupture-risk-assessment-based-on-morphological-parameters
#9
Sylvia Saalfeld, Philipp Berg, Annika Niemann, Maria Luz, Bernhard Preim, Oliver Beuing
PURPOSE: Morphological parameters of intracranial aneurysms (IAs) are well established for rupture risk assessment. However, a manual measurement is error-prone, not reproducible and cumbersome. For an automatic extraction of morphological parameters, a 3D neck curve reconstruction approach to delineate the aneurysm from the parent vessel is required. METHODS: We present a 3D semiautomatic aneurysm neck curve reconstruction for the automatic extraction of morphological parameters which was developed and evaluated with an experienced neuroradiologist...
August 29, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30141126/design-and-evaluation-of-a-new-bioelectrical-impedance-sensor-for-micro-surgery-application-to-retinal-vein-cannulation
#10
Laurent Schoevaerdts, Laure Esteveny, Andy Gijbels, Jonas Smits, Dominiek Reynaerts, Emmanuel Vander Poorten
PURPOSE: Nowadays, millions of people suffer from retinal vein occlusion, a blind-making eye disease. No curative treatment currently exists for this vascular disorder. However, a promising treatment consists in injecting a thrombolytic drug directly inside the affected retinal vessel. Successfully puncturing miniature vessels with diameters between 50 and 400 [Formula: see text] remains a real challenge, amongst others due to human hand tremor, poor visualisation and depth perception...
August 23, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30136109/traditional-machine-learning-for-limited-angle-tomography
#11
Yixing Huang, Yanye Lu, Oliver Taubmann, Guenter Lauritsch, Andreas Maier
PURPOSE: The application of traditional machine learning techniques, in the form of regression models based on conventional, "hand-crafted" features, to artifact reduction in limited angle tomography is investigated. METHODS: Mean-variation-median (MVM), Laplacian, Hessian, and shift-variant data loss (SVDL) features are extracted from the images reconstructed from limited angle data. The regression models linear regression (LR), multilayer perceptron (MLP), and reduced-error pruning tree (REPTree) are applied to predict artifact images...
August 22, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30128951/real-time-microrobot-posture-recognition-via-biplane-x-ray-imaging-system-for-external-electromagnetic-actuation
#12
Phu Bao Nguyen, Byungjeon Kang, D M Bappy, Eunpyo Choi, Sukho Park, Seong Young Ko, Jong-Oh Park, Chang-Sei Kim
PURPOSE: As a promising intravascular therapeutic approach for autonomous catheterization, especially for thrombosis treatment, a microrobot or robotic catheter driven by an external electromagnetic actuation system has been recently investigated. However, the three-dimensional (3D) real-time position and orientation tracking of the microrobot remains a challenge for precise feedback control in clinical applications owing to the micro-size of the microrobot geometry in vessels, along with bifurcation and vulnerability...
August 20, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30099660/development-of-a-shoulder-mounted-robot-for-mri-guided-needle-placement-phantom-study
#13
Reza Monfaredi, Iulian Iordachita, Emmanuel Wilson, Raymond Sze, Karun Sharma, Axel Krieger, Stanley Fricke, Kevin Cleary
PURPOSE: This paper presents new quantitative data on a signal-to-noise ratio (SNR) study, distortion study, and targeting accuracy phantom study for our patient-mounted robot (called Arthrobot). Arthrobot was developed as an MRI-guided needle placement device for diagnostic and interventional procedures such as arthrography. METHODS: We present the robot design and inverse kinematics. Quantitative assessment results for SNR and distortion study are also reported...
August 11, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30099659/accuracy-assessment-of-wireless-transponder-tracking-in-the-operating-room-environment
#14
Roeland Eppenga, Koert Kuhlmann, Theo Ruers, Jasper Nijkamp
PURPOSE: To evaluate the applicability of the Calypso® wireless transponder tracking system (Varian Medical Systems Inc., USA) for real-time tumor motion tracking during surgical procedures on tumors in non-rigid target areas. An accuracy assessment was performed for an extended electromagnetic field of view (FoV) of 27.5 × 27.5 × 22.5 cm (which included the standard FoV of 14 × 14 × 19 cm) in which 5DOF wireless Beacon® transponders can be tracked. METHODS: Using a custom-made measurement setup, we assessed single transponder relative accuracy, absolute accuracy and jitter throughout the extended FoV at 1440 locations interspaced with 2...
August 11, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30097958/volumetric-analysis-of-intracranial-vessels-a-novel-tool-for-evaluation-of-cerebral-vasospasm
#15
Axel Neulen, Tobias Pantel, Anna Dieter, Michael Kosterhon, Manfred Berres, Serge C Thal, Marc A Brockmann, Sven R Kantelhardt
PURPOSE: Together with other diagnostic modalities, computed tomography angiography (CTA) is commonly used to indicate endovascular vasospasm treatment after subarachnoid hemorrhage (SAH), despite the fact that objective, user-independent parameters for evaluation of CTA are lacking. This exploratory study was designed to investigate whether quantification of vasospasm by automated volumetric analysis of the middle cerebral artery M1 segment from CTA data could be used as an objective parameter to indicate endovascular vasospasm treatment...
August 10, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30097957/a-patient-specific-haptic-drilling-simulator-based-on-virtual-reality-for-dental-implant-surgery
#16
Xiaojun Chen, Pengjie Sun, Denghong Liao
PURPOSE: In the dental implant surgery, there are inevitable risks due to the anatomically complex operation in the cranio-maxillofacial region. Therefore, there is a trend to use computer-aided technology to simulate the process of the implant surgery. In this study, we present a haptic simulator for trainees to study and rehearse the drilling performance of dental implant surgery. MATERIALS AND METHODS: The dental implant surgery simulator (DISS) is developed based on the haptic force-feedback device Omega...
August 10, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30097956/using-the-variogram-for-vector-outlier-screening-application-to-feature-based-image-registration
#17
Jie Luo, Sarah Frisken, Ines Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat, Alireza Sedghi, Haoyin Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chieh Cheng, Alexandra Golby, Masashi Sugiyama, William M Wells
PURPOSE: Matching points that are derived from features or landmarks in image data is a key step in some medical imaging applications. Since most robust point matching algorithms claim to be able to deal with outliers, users may place high confidence in the matching result and use it without further examination. However, for tasks such as feature-based registration in image-guided neurosurgery, even a few mismatches, in the form of invalid displacement vectors, could cause serious consequences...
August 10, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30094779/preoperative-liver-registration-for-augmented-monocular-laparoscopy-using-backward-forward-biomechanical-simulation
#18
Erol Özgür, Bongjin Koo, Bertrand Le Roy, Emmanuel Buc, Adrien Bartoli
PURPOSE: Augmented reality for monocular laparoscopy from a preoperative volume such as CT is achieved in two steps. The first step is to segment the organ in the preoperative volume and reconstruct its 3D model. The second step is to register the preoperative 3D model to an initial intraoperative laparoscopy image. To date, there does not exist an automatic initial registration method to solve the second step for the liver in the de facto operating room conditions of monocular laparoscopy...
August 9, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30094778/transfer-learning-with-deep-convolutional-neural-network-for-liver-steatosis-assessment-in-ultrasound-images
#19
Michał Byra, Grzegorz Styczynski, Cezary Szmigielski, Piotr Kalinowski, Łukasz Michałowski, Rafał Paluszkiewicz, Bogna Ziarkiewicz-Wróblewska, Krzysztof Zieniewicz, Piotr Sobieraj, Andrzej Nowicki
PURPOSE: The nonalcoholic fatty liver disease is the most common liver abnormality. Up to date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic tissue samples. In this paper we propose a neural network-based approach for nonalcoholic fatty liver disease assessment in ultrasound. METHODS: We used the Inception-ResNet-v2 deep convolutional neural network pre-trained on the ImageNet dataset to extract high-level features in liver B-mode ultrasound image sequences...
August 9, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30094777/development-and-internal-validation-of-an-aneurysm-rupture-probability-model-based-on-patient-characteristics-and-aneurysm-location-morphology-and-hemodynamics
#20
Felicitas J Detmer, Bong Jae Chung, Fernando Mut, Martin Slawski, Farid Hamzei-Sichani, Christopher Putman, Carlos Jiménez, Juan R Cebral
PURPOSE: Unruptured cerebral aneurysms pose a dilemma for physicians who need to weigh the risk of a devastating subarachnoid hemorrhage against the risk of surgery or endovascular treatment and their complications when deciding on a treatment strategy. A prediction model could potentially support such treatment decisions. The aim of this study was to develop and internally validate a model for aneurysm rupture based on hemodynamic and geometric parameters, aneurysm location, and patient gender and age...
August 9, 2018: International Journal of Computer Assisted Radiology and Surgery
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