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International Journal of Computer Assisted Radiology and Surgery

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https://www.readbyqxmd.com/read/28101760/a-cad-of-fully-automated-colonic-polyp-detection-for-contrasted-and-non-contrasted-ct-scans
#1
Gökalp Tulum, Bülent Bolat, Onur Osman
PURPOSE: Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In this paper, we aimed to develop a fully integrated CAD system for automated detection of polyps that yields a high polyp detection rate with a reasonable number of false positives. METHODS: The proposed CAD system is a multistage implementation whose main components are: automatic colon segmentation, candidate detection, feature extraction and classification...
January 18, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28097603/comprehensive-preclinical-evaluation-of-a-multi-physics-model-of-liver-tumor-radiofrequency-ablation
#2
Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, Marie-Pierre Jolly, Raoul Pop, Michele Diana, Luc Soler, Ali Kamen, Dorin Comaniciu, Nicholas Ayache
PURPOSE: We aim at developing a framework for the validation of a subject-specific multi-physics model of liver tumor radiofrequency ablation (RFA). METHODS: The RFA computation becomes subject specific after several levels of personalization: geometrical and biophysical (hemodynamics, heat transfer and an extended cellular necrosis model). We present a comprehensive experimental setup combining multimodal, pre- and postoperative anatomical and functional images, as well as the interventional monitoring of intra-operative signals: the temperature and delivered power...
January 17, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28083804/improved-surgical-procedure-using-intraoperative-navigation-for-the-implantation-of-the-spg-microstimulator-in-patients-with-chronic-cluster-headache
#3
Carsten Kohlmeier, Peter Behrens, Andreas Böger, Brinda Ramachandran, Anthony Caparso, Dirk Schulze, Philipp Stude, Max Heiland, Alexandre T Assaf
INTRODUCTION: The ATI SPG microstimulator is designed to be fixed on the posterior maxilla, with the integrated lead extending into the pterygopalatine fossa to electrically stimulate the sphenopalatine ganglion (SPG) as a treatment for cluster headache. Preoperative surgical planning to ensure the placement of the microstimulator in close proximity (within 5 mm) to the SPG is critical for treatment efficacy. The aim of this study was to improve the surgical procedure by navigating the initial dissection prior to implantation using a passive optical navigation system and to match the post-operative CBCT images with the preoperative treatment plan to verify the accuracy of the intraoperative placement of the microstimulator...
January 12, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28070777/breast-ultrasound-image-segmentation-a-survey
#4
REVIEW
Qinghua Huang, Yaozhong Luo, Qiangzhi Zhang
PURPOSE: Breast cancer is the most common form of cancer among women worldwide. Ultrasound imaging is one of the most frequently used diagnostic tools to detect and classify abnormalities of the breast. Recently, computer-aided diagnosis (CAD) systems using ultrasound images have been developed to help radiologists to increase diagnosis accuracy. However, accurate ultrasound image segmentation remains a challenging problem due to various ultrasound artifacts. In this paper, we investigate approaches developed for breast ultrasound (BUS) image segmentation...
January 9, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28070776/computer-assisted-delineation-of-cerebral-infarct-from-diffusion-weighted-mri-using-gaussian-mixture-model
#5
Manas Kumar Nag, Subhranil Koley, Debarghya China, Anup Kumar Sadhu, Ravikanth Balaji, Siddharth Ghosh, Chandan Chakraborty
PURPOSE: Diffusion-weighted imaging (DWI) is a widely used medical imaging modality for diagnosis and monitoring of cerebral stroke. The identification of exact location of stroke lesion helps in perceiving its characteristics, an essential part of diagnosis and treatment planning. This task is challenging due to the typical shape of the stroke lesion. This paper proposes an efficient method for computer-aided delineation of stroke lesions from DWI images. METHOD: Proposed methodology comprises of three steps...
January 9, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28063078/analysis-of-acetabular-orientation-and-femoral-anteversion-using-images-of-three-dimensional-reconstructed-bone-models
#6
Jaeyeong Park, Jun-Young Kim, Hyun Deok Kim, Young Cheol Kim, Anna Seo, Minkyu Je, Jong Uk Mun, Bia Kim, Il Hyung Park, Shin-Yoon Kim
PURPOSE: Radiographic measurements using two-dimensional (2D) plain radiographs or planes from computed tomography (CT) scans have several drawbacks, while measurements using images of three-dimensional (3D) reconstructed bone models can provide more consistent anthropometric information. We compared the consistency of results using measurements based on images of 3D reconstructed bone models (3D measurements) with those using planes from CT scans (measurements using 2D slice images)...
January 6, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28063077/automatic-gallbladder-and-gallstone-regions-segmentation-in-ultrasound-image
#7
Jing Lian, Yide Ma, Yurun Ma, Bin Shi, Jizhao Liu, Zhen Yang, Yanan Guo
PURPOSE: As gallbladder diseases including gallstone and cholecystitis are mainly diagnosed by using ultra-sonographic examinations, we propose a novel method to segment the gallbladder and gallstones in ultrasound images. METHODS: The method is divided into five steps. Firstly, a modified Otsu algorithm is combined with the anisotropic diffusion to reduce speckle noise and enhance image contrast. The Otsu algorithm separates distinctly the weak edge regions from the central region of the gallbladder...
January 6, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28063076/automatic-detection-of-vertebral-number-abnormalities-in-body-ct-images
#8
Shouhei Hanaoka, Yoshiyasu Nakano, Mitsutaka Nemoto, Yukihiro Nomura, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Yoshitaka Masutani, Akinobu Shimizu
PURPOSE: The anatomical anomaly of the number of vertebral bones is one of the major anomalies in the human body, which can cause confusion of the spinal level in, for example, surgery. The aim of this study is to develop an automatic detection system for this type of anomaly. METHODS: We utilized our previously reported anatomical landmark detection system for this anomaly detection problem. This system uses a landmark point distribution model (L-PDM) to find multiple landmark positions...
January 6, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28058533/the-numerical-stability-of-transformation-based-ct-ventilation
#9
Edward Castillo, Richard Castillo, Yevgeniy Vinogradskiy, Thomas Guerrero
: Computed tomography (CT)-derived ventilation imaging utilizes deformable image registration (DIR) to recover respiratory-induced tissue volume changes from inhale/exhale 4DCT phases. While current strategies for validating CT ventilation rely on analyzing its correlation with existing functional imaging modalities, the numerical stability of the CT ventilation calculation has not been characterized. PURPOSE: The purpose of this study is to examine how small changes in the DIR displacement field can affect the calculation of transformation-based CT ventilation...
January 5, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28039565/acknowledgement-to-reviewers
#10
(no author information available yet)
No abstract text is available yet for this article.
December 30, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28028655/computer-aided-volumetric-assessment-of-malignant-pleural-mesothelioma-on-ct-using-a-random-walk-based-method
#11
Mitchell Chen, Emma Helm, Niranjan Joshi, Fergus Gleeson, Michael Brady
OBJECTIVE: The aim of this study is to assess the performance of a computer-aided semi-automated algorithm we have adapted for the purpose of segmenting malignant pleural mesothelioma (MPM) on CT. METHODS: Forty-five CT scans were collected from 15 patients (M:F [Formula: see text] 10:5, mean age 62.8 years) in a multi-centre clinical drug trial. A computer-aided random walk-based algorithm was applied to segment the tumour; the results were then compared to radiologist-drawn contours and correlated with measurements made using the MPM-adapted Response Evaluation Criteria in Solid Tumour (modified RECIST)...
December 27, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28025728/semiautomatic-classification-of-acetabular-shape-from-three-dimensional-ultrasound-for-diagnosis-of-infant-hip-dysplasia-using-geometric-features
#12
Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L Jaremko
PURPOSE: Developmental dysplasia of the hip (DDH) is a congenital deformity which in severe cases leads to hip dislocation and in milder cases to premature osteoarthritis. Image-aided diagnosis of DDH is partly based on Graf classification which quantifies the acetabular shape seen at two-dimensional ultrasound (2DUS), which leads to high inter-scan variance. 3D ultrasound (3DUS) is a promising alternative for more reliable DDH diagnosis. However, manual quantification of acetabular shape from 3DUS is cumbersome...
December 26, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27943043/handling-topological-changes-during-elastic-registration-application-to-augmented-reality-in-laparoscopic-surgery
#13
Christoph J Paulus, Nazim Haouchine, Seong-Ho Kong, Renato Vianna Soares, David Cazier, Stephane Cotin
PURPOSE: Locating the internal structures of an organ is a critical aspect of many surgical procedures. Minimally invasive surgery, associated with augmented reality techniques, offers the potential to visualize inner structures, allowing for improved analysis, depth perception or for supporting planning and decision systems. METHODS: Most of the current methods dealing with rigid or non-rigid augmented reality make the assumption that the topology of the organ is not modified...
December 9, 2016: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27915398/the-interactive-electrode-localization-utility-software-for-automatic-sorting-and-labeling-of-intracranial-subdural-electrodes
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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