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International Journal of Computer Assisted Radiology and Surgery

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https://www.readbyqxmd.com/read/27915398/the-interactive-electrode-localization-utility-software-for-automatic-sorting-and-labeling-of-intracranial-subdural-electrodes
#1
Roan A LaPlante, Wei Tang, Noam Peled, Deborah I Vallejo, Mia Borzello, Darin D Dougherty, Emad N Eskandar, Alik S Widge, Sydney S Cash, Steven M Stufflebeam
PURPOSE: Existing methods for sorting, labeling, registering, and across-subject localization of electrodes in intracranial encephalography (iEEG) may involve laborious work requiring manual inspection of radiological images. METHODS: We describe a new open-source software package, the interactive electrode localization utility which presents a full pipeline for the registration, localization, and labeling of iEEG electrodes from CT and MR images. In addition, we describe a method to automatically sort and label electrodes from subdural grids of known geometry...
December 3, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27905028/landmark-guided-diffeomorphic-demons-algorithm-and-its-application-to-automatic-segmentation-of-the-whole-spine-and-pelvis-in-ct-images
#2
Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Akinobu Shimizu
PURPOSE: A fully automatic multiatlas-based method for segmentation of the spine and pelvis in a torso CT volume is proposed. A novel landmark-guided diffeomorphic demons algorithm is used to register a given CT image to multiple atlas volumes. This algorithm can utilize both grayscale image information and given landmark coordinate information optimally. METHODS: The segmentation has four steps. Firstly, 170 bony landmarks are detected in the given volume. Using these landmark positions, an atlas selection procedure is performed to reduce the computational cost of the following registration...
November 30, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27905027/erratum-to-grape-a-graphical-pipeline-environment-for-image-analysis-in-adaptive-magnetic-resonance-imaging
#3
Refaat E Gabr, Getaneh B Tefera, William J Allen, Amol S Pednekar, Ponnada A Narayana
No abstract text is available yet for this article.
November 30, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27889861/synchronized-navigation-of-current-and-prior-studies-using-image-registration-improves-radiologist-s-efficiency
#4
Daniel Forsberg, Amit Gupta, Christopher Mills, Brett MacAdam, Beverly Rosipko, Barbara A Bangert, Michael D Coffey, Christos Kosmas, Jeffrey L Sunshine
PURPOSE: The purpose of this study was to investigate how the use of multi-modal rigid image registration integrated within a standard picture archiving and communication system affects the efficiency of a radiologist while performing routine interpretations of cases including prior examinations. METHODS: Six radiologists were recruited to read a set of cases (either 16 neuroradiology or 14 musculoskeletal cases) during two crossover reading sessions. Each radiologist read each case twice, one time with synchronized navigation, which enables spatial synchronization across examinations from different study dates, and one time without...
November 26, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27885540/automatic-abdominal-multi-organ-segmentation-using-deep-convolutional-neural-network-and-time-implicit-level-sets
#5
Peijun Hu, Fa Wu, Jialin Peng, Yuanyuan Bao, Feng Chen, Dexing Kong
PURPOSE: Multi-organ segmentation from CT images is an essential step for computer-aided diagnosis and surgery planning. However, manual delineation of the organs by radiologists is tedious, time-consuming and poorly reproducible. Therefore, we propose a fully automatic method for the segmentation of multiple organs from three-dimensional abdominal CT images. METHODS: The proposed method employs deep fully convolutional neural networks (CNNs) for organ detection and segmentation, which is further refined by a time-implicit multi-phase evolution method...
November 24, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27882488/quantification-of-motion-of-the-thoracic-aorta-after-ascending-aortic-repair-of-type-a-dissection
#6
Ga-Young Suh, Dominik Fleischmann, Ramin E Beygui, Christopher P Cheng
PURPOSE: To quantify cardiac and respiratory deformations of the thoracic aorta after ascending aortic graft repair. METHODS: Eight patients were scanned with cardiac-resolved computed tomography angiography during inspiratory/expiratory breath-holds. Aortic centerlines and lumen were extracted to compute the arclength, curvature, angulation, and cross-section shape. RESULTS: From systole to diastole, the angle of graft [Formula: see text] arch increased by 2...
November 23, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27873148/local-texture-descriptors-for-the-assessment-of-differences-in-diffusion-magnetic-resonance-imaging-of-the-brain
#7
Felix Sebastian Leo Thomsen, Claudio Augusto Delrieux, Rodrigo de Luis-García
PURPOSE: Descriptors extracted from magnetic resonance imaging (MRI) of the brain can be employed to locate and characterize a wide range of pathologies. Scalar measures are typically derived within a single-voxel unit, but neighborhood-based texture measures can also be applied. In this work, we propose a new set of descriptors to compute local texture characteristics from scalar measures of diffusion tensor imaging (DTI), such as mean and radial diffusivity, and fractional anisotropy...
November 21, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27873147/fully-automated-mr-liver-volumetry-using-watershed-segmentation-coupled-with-active-contouring
#8
Hieu Trung Huynh, Ngoc Le-Trong, Pham The Bao, Aytek Oto, Kenji Suzuki
PURPOSE: Our purpose is to develop a fully automated scheme for liver volume measurement in abdominal MR images, without requiring any user input or interaction. METHODS: The proposed scheme is fully automatic for liver volumetry from 3D abdominal MR images, and it consists of three main stages: preprocessing, rough liver shape generation, and liver extraction. The preprocessing stage reduced noise and enhanced the liver boundaries in 3D abdominal MR images. The rough liver shape was revealed fully automatically by using the watershed segmentation, thresholding transform, morphological operations, and statistical properties of the liver...
November 21, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27858248/morphology-filter-bank-for-extracting-nodular-and-linear-patterns-in-medical-images
#9
Ryutaro Hashimoto, Yoshikazu Uchiyama, Keiichi Uchimura, Gou Koutaki, Tomoki Inoue
PURPOSE: Using image processing to extract nodular or linear shadows is a key technique of computer-aided diagnosis schemes. This study proposes a new method for extracting nodular and linear patterns of various sizes in medical images. METHODS: We have developed a morphology filter bank that creates multiresolution representations of an image. Analysis bank of this filter bank produces nodular and linear patterns at each resolution level. Synthesis bank can then be used to perfectly reconstruct the original image from these decomposed patterns...
November 17, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27854032/haustral-loop-extraction-for-ct-colonography-using-geodesics
#10
Yongkai Liu, Chaijie Duan, Jerome Liang, Jing Hu, Hongbing Lu, Mingyue Luo
PURPOSE: The human colon has complex geometric structures because of its haustral folds, which are thin flat protrusions on the colon wall. The haustral loop is the curve (approximately triangular in shape) that encircles the highly convex region of the haustral fold, and is regarded as the natural landmark of the colon, intersecting the longitude of the colon in the middle. Haustral loop extraction can assist in reducing the structural complexity of the colon, and the loops can also serve as anatomic markers for computed tomographic colonography (CTC)...
November 16, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27838881/development-of-digital-phantoms-based-on-a-finite-element-model-to-simulate-low-attenuation-areas-in-ct-imaging-for-pulmonary-emphysema-quantification
#11
Stefano Diciotti, Alessandro Nobis, Stefano Ciulli, Nicholas Landini, Mario Mascalchi, Nicola Sverzellati, Bernardo Innocenti
PURPOSE: To develop an innovative finite element (FE) model of lung parenchyma which simulates pulmonary emphysema on CT imaging. The model is aimed to generate a set of digital phantoms of low-attenuation areas (LAA) images with different grades of emphysema severity. METHODS: Four individual parameter configurations simulating different grades of emphysema severity were utilized to generate 40 FE models using ten randomizations for each setting. We compared two measures of emphysema severity (relative area (RA) and the exponent D of the cumulative distribution function of LAA clusters size) between the simulated LAA images and those computed directly on the models output (considered as reference)...
November 12, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27804009/a-new-method-for-the-automatic-retrieval-of-medical-cases-based-on-the-radlex-ontology
#12
A B Spanier, D Cohen, L Joskowicz
PURPOSE: The goal of medical case-based image retrieval (M-CBIR) is to assist radiologists in the clinical decision-making process by finding medical cases in large archives that most resemble a given case. Cases are described by radiology reports comprised of radiological images and textual information on the anatomy and pathology findings. The textual information, when available in standardized terminology, e.g., the RadLex ontology, and used in conjunction with the radiological images, provides a substantial advantage for M-CBIR systems...
November 1, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27796791/automatic-segmentation-of-airway-tree-based-on-local-intensity-filter-and-machine-learning-technique-in-3d-chest-ct-volume
#13
Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Masahiro Oda, Junji Ueno, Kensaku Mori
PURPOSE: Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3D airway tree structure from a CT volume is quite a challenging task. Several researchers have proposed automated airway segmentation algorithms basically based on region growing and machine learning techniques. However, these methods fail to detect the peripheral bronchial branches, which results in a large amount of leakage...
October 28, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27796790/grape-a-graphical-pipeline-environment-for-image-analysis-in-adaptive-magnetic-resonance-imaging
#14
Refaat E Gabr, Getaneh B Tefera, William J Allen, Amol S Pednekar, Ponnada A Narayana
PURPOSE: We present a platform, GRAphical Pipeline Environment (GRAPE), to facilitate the development of patient-adaptive magnetic resonance imaging (MRI) protocols. METHODS: GRAPE is an open-source project implemented in the Qt C++ framework to enable graphical creation, execution, and debugging of real-time image analysis algorithms integrated with the MRI scanner. The platform provides the tools and infrastructure to design new algorithms, and build and execute an array of image analysis routines, and provides a mechanism to include existing analysis libraries, all within a graphical environment...
October 28, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27783201/comparison-of-rotational-acetabular-osteotomy-performed-with-navigation-by-surgeons-with-different-levels-of-experience-of-osteotomies
#15
Masaki Takao, Takashi Nishii, Takashi Sakai, Nobuhiko Sugano
PURPOSE: Rotational acetabular osteotomy (RAO) is used to treat developmental hip dysplasia (DDH). It requires detailed anatomical knowledge of the pelvic anatomy and three-dimensional cognitive skills. We addressed whether a computer navigation system combined with a preoperative computed tomography-based plan enabled surgeons to perform RAO safely and reliably through a mini-incision regardless of their level of experience with performing osteotomies. METHODS: We enrolled 24 patients (25 hips) with DDH (radiographic grade 0 or 1 osteoarthritic changes: Tönnis classification)...
October 25, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27771843/scale-adaptive-supervoxel-based-random-forests-for-liver-tumor-segmentation-in-dynamic-contrast-enhanced-ct-scans
#16
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
https://www.readbyqxmd.com/read/27722873/bayesian-pretest-probability-estimation-for-primary-malignant-bone-tumors-based-on-the-surveillance-epidemiology-and-end-results-program-seer-database
#17
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
https://www.readbyqxmd.com/read/27718124/the-impact-of-manual-threshold-selection-in-medical-additive-manufacturing
#18
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
https://www.readbyqxmd.com/read/27714567/central-x-ray-beam-correction-of-radiographic-acetabular-cup-measurement-after-tha-an-experimental-study
#19
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
https://www.readbyqxmd.com/read/27714566/acquisition-models-in-intraoperative-positron-surface-imaging
#20
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
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