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International Journal of Computer Assisted Radiology and Surgery

Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux
PURPOSE: Toward an efficient clinical management of hepatocellular carcinoma (HCC), we propose a classification framework dedicated to tumor necrosis rate estimation from dynamic contrast-enhanced CT scans. Based on machine learning, it requires weak interaction efforts to segment healthy, active and necrotic liver tissues. METHODS: Our contributions are two-fold. First, we apply random forest (RF) on supervoxels using multi-phase supervoxel-based features that discriminate tissues based on their dynamic in response to contrast agent injection...
October 22, 2016: International Journal of Computer Assisted Radiology and Surgery
Matthias Benndorf, Jakob Neubauer, Mathias Langer, Elmar Kotter
PURPOSE: In the diagnostic process of primary bone tumors, patient age, tumor localization and to a lesser extent sex affect the differential diagnosis. We therefore aim to develop a pretest probability calculator for primary malignant bone tumors based on population data taking these variables into account. METHODS: We access the SEER (Surveillance, Epidemiology and End Results Program of the National Cancer Institute, 2015 release) database and analyze data of all primary malignant bone tumors diagnosed between 1973 and 2012...
October 8, 2016: International Journal of Computer Assisted Radiology and Surgery
Maureen van Eijnatten, Juha Koivisto, Kalle Karhu, Tymour Forouzanfar, Jan Wolff
PURPOSE: Medical additive manufacturing requires standard tessellation language (STL) models. Such models are commonly derived from computed tomography (CT) images using thresholding. Threshold selection can be performed manually or automatically. The aim of this study was to assess the impact of manual and default threshold selection on the reliability and accuracy of skull STL models using different CT technologies. METHOD: One female and one male human cadaver head were imaged using multi-detector row CT, dual-energy CT, and two cone-beam CT scanners...
October 7, 2016: International Journal of Computer Assisted Radiology and Surgery
T Schwarz, M Weber, M Wörner, T Renkawitz, J Grifka, B Craiovan
PURPOSE: Accurate assessment of cup orientation on postoperative radiographs is essential for evaluating outcome after THA. However, accuracy is impeded by the deviation of the central X-ray beam in relation to the cup and the impossibility of measuring retroversion on standard pelvic radiographs. METHOD: In an experimental trial, we built an artificial cup holder enabling the setting of different angles of anatomical anteversion and inclination. Twelve different cup orientations were investigated by three examiners...
October 6, 2016: International Journal of Computer Assisted Radiology and Surgery
Frédéric Monge, Dzhoshkun I Shakir, Florence Lejeune, Xavier Morandi, Nassir Navab, Pierre Jannin
PURPOSE: Intraoperative imaging aims at identifying residual tumor during surgery. Positron Surface Imaging (PSI) is one of the solutions to help surgeons in a better detection of resection margins of brain tumor, leading to an improved patient outcome. This system relies on a tracked freehand beta probe, using [Formula: see text]F-based radiotracer. Some acquisition models have been proposed in the literature in order to enhance image quality, but no comparative validation study has been performed for PSI...
October 6, 2016: International Journal of Computer Assisted Radiology and Surgery
Martin Klemm, Thomas Kirchner, Janek Gröhl, Dominique Cheray, Marco Nolden, Alexander Seitel, Harald Hoppe, Lena Maier-Hein, Alfred M Franz
PURPOSE: Due to rapid developments in the research areas of medical imaging, medical image processing and robotics, computer-assisted interventions (CAI) are becoming an integral part of modern patient care. From a software engineering point of view, these systems are highly complex and research can benefit greatly from reusing software components. This is supported by a number of open-source toolkits for medical imaging and CAI such as the medical imaging interaction toolkit (MITK), the public software library for ultrasound imaging research (PLUS) and 3D Slicer...
September 29, 2016: International Journal of Computer Assisted Radiology and Surgery
Atsushi Saito, Seiji Yamamoto, Shigeru Nawano, Akinobu Shimizu
PURPOSE: Automated liver segmentation from a postmortem computed tomography (PMCT) volume is a challenging problem owing to the large deformation and intensity changes caused by severe pathology and/or postmortem changes. This paper addresses this problem by a novel segmentation algorithm using a statistical shape model (SSM) for a postmortem liver. METHODS: The location and shape parameters of a liver are directly estimated from a given volume by the proposed SSM-guided expectation-maximization (EM) algorithm without any spatial standardization that might fail owing to the large deformation and intensity changes...
September 22, 2016: International Journal of Computer Assisted Radiology and Surgery
S Catanzaro, C Copelli, A Manfuso, K Tewfik, N Pederneschi, L Cassano, R Cocchi
PURPOSE: The surgical removal of head and neck tumors often represents a highly complex surgery. The three-dimensionality and the anatomy of the head and neck area make sometimes difficult a correct intraoperative orientation and the obtaining of an adequate oncological safety. In the present pilot study, the authors propose a protocol of application of intraoperative navigation in the resection of head and neck tumors. The purpose is to develop a methodology that can be helpful to ensure oncologic free margins of resection and to facilitate the orientation of the specimen by pathologists...
September 22, 2016: International Journal of Computer Assisted Radiology and Surgery
Hennadii Madan, Franjo Pernuš, Boštjan Likar, Žiga Špiclin
PURPOSE: Advanced image-guided medical procedures incorporate 2D intra-interventional information into pre-interventional 3D image and plan of the procedure through 3D/2D image registration (32R). To enter clinical use, and even for publication purposes, novel and existing 32R methods have to be rigorously validated. The performance of a 32R method can be estimated by comparing it to an accurate reference or gold standard method (usually based on fiducial markers) on the same set of images (gold standard dataset)...
September 21, 2016: International Journal of Computer Assisted Radiology and Surgery
L P Beyer, B Pregler, K Michalik, C Niessen, M Dollinger, M Müller, H J Schlitt, C Stroszczynski, P Wiggermann
OBJECTIVE: Comparison of conventional CT-guided manual irreversible electroporation (IRE) of malignant liver tumors and a robot-assisted approach regarding procedural accuracy, intervention time, dose, complications, and treatment success. METHODS: A retrospective single-center analysis of 40 cases of irreversible electroporation of malignant liver tumors in 35 patients (6 females, 29 males, average age 60.3 years). Nineteen of these ablation procedures were performed manually and 21 with robotic assistance...
September 21, 2016: International Journal of Computer Assisted Radiology and Surgery
Fatemeh Abdolali, Reza Aghaeizadeh Zoroofi, Maryam Abdolali, Futoshi Yokota, Yoshito Otake, Yoshinobu Sato
PURPOSE: Accurate segmentation of the mandibular canal in cone beam CT data is a prerequisite for implant surgical planning. In this article, a new segmentation method based on the combination of anatomical and statistical information is presented to segment mandibular canal in CBCT scans. METHODS: Generally, embedding shape information in segmentation models is challenging. The proposed approach consists of three main steps as follows: At first, a method based on low-rank decomposition is proposed for preprocessing...
September 21, 2016: International Journal of Computer Assisted Radiology and Surgery
Mohammadreza Soltaninejad, Guang Yang, Tryphon Lambrou, Nigel Allinson, Timothy L Jones, Thomas R Barrick, Franklyn A Howe, Xujiong Ye
PURPOSE: We propose a fully automated method for detection and segmentation of the abnormal tissue associated with brain tumour (tumour core and oedema) from Fluid- Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Imaging (MRI). METHODS: The method is based on superpixel technique and classification of each superpixel. A number of novel image features including intensity-based, Gabor textons, fractal analysis and curvatures are calculated from each superpixel within the entire brain area in FLAIR MRI to ensure a robust classification...
September 20, 2016: International Journal of Computer Assisted Radiology and Surgery
André Mewes, Bennet Hensen, Frank Wacker, Christian Hansen
PURPOSE: In this article, we systematically examine the current state of research of systems that focus on touchless human-computer interaction in operating rooms and interventional radiology suites. We further discuss the drawbacks of current solutions and underline promising technologies for future development. METHODS: A systematic literature search of scientific papers that deal with touchless control of medical software in the immediate environment of the operation room and interventional radiology suite was performed...
September 19, 2016: International Journal of Computer Assisted Radiology and Surgery
Fang Lu, Fa Wu, Peijun Hu, Zhiyi Peng, Dexing Kong
PURPOSE: Segmentation of the liver from abdominal computed tomography (CT) images is an essential step in some computer-assisted clinical interventions, such as surgery planning for living donor liver transplant, radiotherapy and volume measurement. In this work, we develop a deep learning algorithm with graph cut refinement to automatically segment the liver in CT scans. METHODS: The proposed method consists of two main steps: (i) simultaneously liver detection and probabilistic segmentation using 3D convolutional neural network; (ii) accuracy refinement of the initial segmentation with graph cut and the previously learned probability map...
September 7, 2016: International Journal of Computer Assisted Radiology and Surgery
Peter Dankerl, Matthias Hammon, Hannes Seuss, Monique Tröbs, Annika Schuhbaeck, Michaela M Hell, Alexander Cavallaro, Stephan Achenbach, Michael Uder, Mohamed Marwan
PURPOSE: To evaluate the performance of computer-aided evaluation software for a comprehensive workup of patients prior to transcatheter aortic valve implantation (TAVI) using low-contrast agent and low radiation dose third-generation dual-source CT angiography. METHODS: We evaluated 30 consecutive patients scheduled for TAVI. All patients underwent ECG-triggered high-pitch dual-source CT angiography of the aortic root and aorta with a standardized contrast agent volume (30 ml Imeron350, flow rate 4 ml/s) and low-dose (100 kv/350 mAs) protocol...
September 7, 2016: International Journal of Computer Assisted Radiology and Surgery
Wen Wu, Hui Chen, Yuhai Cen, Yang Hong, Balvinder Khambay, Pheng Ann Heng
PURPOSE: The surgical treatment of many dentofacial deformities is often complex due to its three-dimensional nature. To determine the dental occlusion in the most stable position is essential for the success of the treatment. Computer-aided virtual planning on individualized patient-specific 3D model can help formulate the surgical plan and predict the surgical change. However, in current computer-aided planning systems, it is not possible to determine the dental occlusion of the digital models in the intuitive way during virtual surgical planning because of absence of haptic feedback...
September 6, 2016: International Journal of Computer Assisted Radiology and Surgery
Simon Drouin, Anna Kochanowska, Marta Kersten-Oertel, Ian J Gerard, Rina Zelmann, Dante De Nigris, Silvain Bériault, Tal Arbel, Denis Sirhan, Abbas F Sadikot, Jeffery A Hall, David S Sinclair, Kevin Petrecca, Rolando F DelMaestro, D Louis Collins
PURPOSE: Navigation systems commonly used in neurosurgery suffer from two main drawbacks: (1) their accuracy degrades over the course of the operation and (2) they require the surgeon to mentally map images from the monitor to the patient. In this paper, we introduce the Intraoperative Brain Imaging System (IBIS), an open-source image-guided neurosurgery research platform that implements a novel workflow where navigation accuracy is improved using tracked intraoperative ultrasound (iUS) and the visualization of navigation information is facilitated through the use of augmented reality (AR)...
August 31, 2016: International Journal of Computer Assisted Radiology and Surgery
Sungmin Kim, Peter Kazanzides
PURPOSE: Image-guided surgery requires registration between an image coordinate system and an intraoperative coordinate system that is typically referenced to a tracking device. In fiducial-based registration methods, this is achieved by localizing points (fiducials) in each coordinate system. Often, both localizations are performed manually, first by picking a fiducial point in the image and then by using a hand-held tracked pointer to physically touch the corresponding fiducial on the patient...
August 31, 2016: International Journal of Computer Assisted Radiology and Surgery
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
PURPOSE: For realizing computer-aided diagnosis (CAD) of computed tomography (CT) images, many pattern recognition methods have been applied to automatic classification of normal and abnormal opacities; however, for the learning of accurate classifier, a large number of images with correct labels are necessary. It is a very time-consuming and impractical task for radiologists to give correct labels for a large number of CT images. In this paper, to solve the above problem and realize an unsupervised class labeling mechanism without using correct labels, a new clustering algorithm for diffuse lung diseases using frequent attribute patterns is proposed...
August 30, 2016: International Journal of Computer Assisted Radiology and Surgery
Akira Yamada, Daisuke Komatsu, Takeshi Suzuki, Masahiro Kurozumi, Yasunari Fujinaga, Kazuhiko Ueda, Masumi Kadoya
PURPOSE: To determine a quick and accurate user input method for manipulating tablet personal computers (PCs) in sterile techniques. METHODS: We evaluated three different manipulation methods, (1) Computer mouse and sterile system drape, (2) Fingers and sterile system drape, and (3) Digitizer stylus and sterile ultrasound probe cover with a pinhole, in terms of the central processing unit (CPU) performance, manipulation performance, and contactlessness. RESULTS: A significant decrease in CPU score ([Formula: see text]) and an increase in CPU temperature ([Formula: see text]) were observed when a system drape was used...
August 29, 2016: International Journal of Computer Assisted Radiology and Surgery
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