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International Journal of Computer Assisted Radiology and Surgery

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https://www.readbyqxmd.com/read/30661169/a-direct-volume-rendering-visualization-approach-for-serial-pet-ct-scans-that-preserves-anatomical-consistency
#1
Younhyun Jung, Jinman Kim, Lei Bi, Ashnil Kumar, David Dagan Feng, Michael Fulham
PURPOSE: Our aim was to develop an interactive 3D direct volume rendering (DVR) visualization solution to interpret and analyze complex, serial multi-modality imaging datasets from positron emission tomography-computed tomography (PET-CT). METHODS: Our approach uses: (i) a serial transfer function (TF) optimization to automatically depict particular regions of interest (ROIs) over serial datasets with consistent anatomical structures; (ii) integration of a serial segmentation algorithm to interactively identify and track ROIs on PET; and (iii) parallel graphics processing unit (GPU) implementation for interactive visualization...
January 19, 2019: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30649670/a-dataset-of-laryngeal-endoscopic-images-with-comparative-study-on-convolution-neural-network-based-semantic-segmentation
#2
Max-Heinrich Laves, Jens Bicker, Lüder A Kahrs, Tobias Ortmaier
PURPOSE: Automated segmentation of anatomical structures in medical image analysis is a prerequisite for autonomous diagnosis as well as various computer- and robot-aided interventions. Recent methods based on deep convolutional neural networks (CNN) have outperformed former heuristic methods. However, those methods were primarily evaluated on rigid, real-world environments. In this study, existing segmentation methods were evaluated for their use on a new dataset of transoral endoscopic exploration...
January 16, 2019: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30649669/a-novel-multiple-communication-paths-for-surgical-telepresence-videos-delivery-of-the-maxilla-area-in-oral-and-maxillofacial-surgery
#3
Anupraj Bhattarai, Abeer Alsadoon, P W C Prasad, Linh Pham, Sami Haddad, Jeremy Hsu, Anand Deva
PURPOSE: A surgical telepresence between two surgical sites where a local surgeon in the surgery site, who is less experienced, needs help from the expert surgeon located at a remote site. Furthermore, the primary aim of this paper is to improve the quality of surgical video sent and received to-and-from both surgical sites, which has been a major quality issue so far. METHOD: This work considers flow rate allocation and resource availability to determine the network path quality...
January 16, 2019: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30617720/breast-tumor-classification-using-different-features-of-quantitative-ultrasound-parametric-images
#4
Soa-Min Hsu, Wen-Hung Kuo, Fang-Chuan Kuo, Yin-Yin Liao
RATIONALE AND OBJECTIVES: The ultrasound B-mode-based morphological and texture analysis and Nakagami parametric imaging have been proposed to characterize breast tumors. Since these three feature categories of ultrasonic tissue characterization supply information on different physical characteristics of breast tumors, by combining the above methods is expected to provide more clues for classifying breast tumors. MATERIALS AND METHODS: To verify the validity of the concept, raw data were obtained from 160 clinical cases...
January 8, 2019: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30617910/guest-editorial-of-the-ijcars-bvm-2018-special-issue
#5
EDITORIAL
Andreas Maier, Thomas M Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff
No abstract text is available yet for this article.
January 7, 2019: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30613910/fcnn-based-axon-segmentation-for-convection-enhanced-delivery-optimization
#6
Marco Vidotto, Elena De Momi, Michele Gazzara, Leonardo S Mattos, Giancarlo Ferrigno, Sara Moccia
PURPOSE: Glioblastoma multiforme treatment is a challenging task in clinical oncology. Convection- enhanced delivery (CED) is showing encouraging but still suboptimal results due to drug leakages. Numerical models can predict drug distribution within the brain, but require retrieving brain physical properties, such as the axon diameter distribution (ADD), through axon architecture analysis. The goal of this work was to provide an automatic, accurate and fast method for axon segmentation in electronic microscopy images based on fully convolutional neural network (FCNN) as to allow automatic ADD computation...
January 7, 2019: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30604143/segmentation-of-the-proximal-femur-in-radial-mr-scans-using-a-random-forest-classifier-and-deformable-model-registration
#7
Dimitrios Damopoulos, Till Dominic Lerch, Florian Schmaranzer, Moritz Tannast, Christophe Chênes, Guoyan Zheng, Jérôme Schmid
BACKGROUND: Radial 2D MRI scans of the hip are routinely used for the diagnosis of the cam type of femoroacetabular impingement (FAI) and of avascular necrosis (AVN) of the femoral head, both considered causes of hip joint osteoarthritis in young and active patients. A method for automated and accurate segmentation of the proximal femur from radial MRI scans could be very useful in both clinical routine and biomechanical studies. However, to our knowledge, no such method has been published before...
January 2, 2019: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30569330/predicting-underestimation-of-ductal-carcinoma-in-situ-a-comparison-between-radiomics-and-conventional-approaches
#8
Jiao Li, Yan Song, Shuoyu Xu, Jinhua Wang, Huabin Huang, Weimei Ma, Xinhua Jiang, Yaopan Wu, Hongming Cai, Li Li
PURPOSE: We aimed to investigate the feasibility of predicting invasion carcinoma from ductal carcinoma in situ (DCIS) lesions diagnosed by preoperative core needle biopsy using radiomics signatures, clinical imaging characteristics, and breast imaging reporting and data system (BI-RADS) descriptors on mammography. METHODS: Retrospectively, we enrolled 362 DCIS patients diagnosed by core needle biopsy, 110 (30.4%) of which had invasive carcinoma confirmed by operation and pathology...
December 19, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30552647/patient-3d-body-pose-estimation-from-pressure-imaging
#9
Leslie Casas, Nassir Navab, Stefanie Demirci
PURPOSE: In-bed motion monitoring has become of great interest for a variety of clinical applications. Image-based approaches could be seen as a natural non-intrusive approach for this purpose; however, video devices require special challenging settings for a clinical environment. We propose to estimate the patient's posture from pressure sensors' data mapped to images. METHODS: We introduce a deep learning method to retrieve human poses from pressure sensors data...
December 14, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30542975/unsupervised-pathology-detection-in-medical-images-using-conditional-variational-autoencoders
#10
Hristina Uzunova, Sandra Schultz, Heinz Handels, Jan Ehrhardt
PURPOSE: Pathology detection in medical image data is an important but a rather complicated task. In particular, the big variability of the pathologies is a challenge to automatic detection methods and even to machine learning methods. Supervised algorithms would usually learn the appearance of a single pathological structure based on a large annotated dataset. As such data is not usually available, especially in large amounts, in this work we pursue a different unsupervised approach...
December 12, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30539502/surgineering-a-new-type-of-collaboration-among-surgeons-and-engineers
#11
EDITORIAL
H Feussner, D Wilhelm, N Navab, A Knoll, T Lüth
No abstract text is available yet for this article.
December 11, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30535827/implementation-of-a-semiautomatic-method-to-design-patient-specific-instruments-for-corrective-osteotomy-of-the-radius
#12
G Caiti, J G G Dobbe, A C Y Loenen, M Beerens, S D Strackee, G J Strijkers, G J Streekstra
PURPOSE: 3D-printed patient-specific instruments (PSIs), such as surgical guides and implants, show great promise for accurate navigation in surgical correction of post-traumatic deformities of the distal radius. However, existing costs of computer-aided design and manufacturing process prevent everyday surgical use. In this paper, we propose an innovative semiautomatic methodology to streamline the PSIs design. METHODS: The new method was implemented as an extension of our existing 3D planning software...
December 10, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30535826/arena-inter-modality-affine-registration-using-evolutionary-strategy
#13
Nima Masoumi, Yiming Xiao, Hassan Rivaz
PURPOSE: Image fusion of different imaging modalities renders valuable information to clinicians. In this paper, we proposed an automatic multimodal registration method to register intra-operative ultrasound images (US) to preoperative magnetic resonance images (MRI) in the context of image-guided neurosurgery. METHODS: We employed refined correlation ratio as a similarity metric for our intensity-based image registration method. We deem MRI as the fixed image ([Formula: see text]) and US as the moving image ([Formula: see text]) and then transform [Formula: see text] to align with [Formula: see text]...
December 10, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30519871/reconstruction-and-positional-accuracy-of-3d-ultrasound-on-vertebral-phantoms-for-adolescent-idiopathic-scoliosis-spinal-surgery
#14
Andrew Chan, Eric Parent, Edmond Lou
PURPOSE: Determine the positional, rotational and reconstruction accuracy of a 3D ultrasound system to be used for image registration in navigation surgery. METHODS: A custom 3D ultrasound for spinal surgery image registration was developed using Optitrack Prime 13-W motion capture cameras and a SonixTablet Ultrasound System. Temporal and spatial calibration was completed to account for time latencies between the two systems and to ensure accurate motion tracking of the ultrasound transducer...
December 5, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30519870/automatic-detection-of-perforator-vessels-using-infrared-thermography-in-reconstructive-surgery
#15
Michael Unger, Miriam Markfort, Dirk Halama, Claire Chalopin
PURPOSE: Knowing the location of the blood vessels supplying the skin and subcutaneous tissue is a requirement during the planning of tissue transfer in reconstructive surgery. Commonly used imaging techniques such as computed tomography angiography and indocyanine green angiography expose the patient to radiation or a contrast agent, respectively. Infrared thermal imaging was evaluated with success as a non-invasive alternative. To support the interpretation of thermograms, a method to automatically detect the perforators was developed and evaluated...
December 5, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30488262/a-model-guided-method-for-improving-coronary-artery-tree-extractions-from-ccta-images
#16
Qing Cao, Alexander Broersen, Pieter H Kitslaar, Boudewijn P F Lelieveldt, Jouke Dijkstra
PURPOSE: Automatically extracted coronary artery trees (CATs) from coronary computed tomography angiography images could contain incorrect extractions which require manual corrections before they can be used in clinical practice. A model-guided method for improving the extracted CAT is described to automatically detect potential incorrect extractions and improve them. METHODS: The proposed method is a coarse-to-fine approach. A coarse improvement is first applied on all vessels in the extracted CAT, and then a fine improvement is applied only on vessels with higher clinical significance...
November 28, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30484116/automated-anatomical-labeling-of-coronary-arteries-via-bidirectional-tree-lstms
#17
Dan Wu, Xin Wang, Junjie Bai, Xiaoyang Xu, Bin Ouyang, Yuwei Li, Heye Zhang, Qi Song, Kunlin Cao, Youbing Yin
PURPOSE: Automated anatomical labeling facilitates the diagnostic process for physicians and radiologists. One of the challenges in automated anatomical labeling problems is the robustness to handle the large individual variability inherited in human anatomy. A novel deep neural network framework, referred to Tree Labeling Network (TreeLab-Net), is proposed to resolve this problem in this work. METHODS: A multi-layer perceptron (MLP) encoder network and a bidirectional tree-structural long short-term memory (Bi-TreeLSTM) are combined to construct the TreeLab-Net...
November 27, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30484115/deep-learned-placental-vessel-segmentation-for-intraoperative-video-enhancement-in-fetoscopic-surgery
#18
Praneeth Sadda, Metehan Imamoglu, Michael Dombrowski, Xenophon Papademetris, Mert O Bahtiyar, John Onofrey
INTRODUCTION: Twin-to-twin transfusion syndrome (TTTS) is a potentially lethal condition that affects pregnancies in which twins share a single placenta. The definitive treatment for TTTS is fetoscopic laser photocoagulation, a procedure in which placental blood vessels are selectively cauterized. Challenges in this procedure include difficulty in quickly identifying placental blood vessels due to the many artifacts in the endoscopic video that the surgeon uses for navigation. We propose using deep-learned segmentations of blood vessels to create masks that can be recombined with the original fetoscopic video frame in such a way that the location of placental blood vessels is discernable at a glance...
November 27, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30478533/computer-assisted-planning-for-a-concentric-tube-robotic-system-in-neurosurgery
#19
Josephine Granna, Arya Nabavi, Jessica Burgner-Kahrs
PURPOSE: Laser-induced thermotherapy in the brain is a minimally invasive procedure to denature tumor tissue. However, irregularly shaped brain tumors cannot be treated using existing commercial systems. Thus, we present a new concept for laser-induced thermotherapy using a concentric tube robotic system. The planning procedure is complex and consists of the optimal distribution of thermal laser ablations within a volume as well as design and configuration parameter optimization of the concentric tube robot...
November 27, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/30465304/a-robotic-microsurgical-forceps-for-transoral-laser-microsurgery
#20
Manish Chauhan, Nikhil Deshpande, Claudio Pacchierotti, Leonardo Meli, Domenico Prattichizzo, Darwin G Caldwell, Leonardo S Mattos
PURPOSE: In transoral laser microsurgery (TLM), the close curved cylindrical structure of the laryngeal region offers functional challenges to surgeons who operate on its malignancies with rigid, single degree-of-freedom (DOF) forceps. These challenges include surgeon hand tremors, poor reachability, poor tissue surface perception, and reduced ergonomy in design. The integrated robotic microsurgical forceps presented here is capable of addressing the above challenges through tele-operated tissue manipulation in TLM...
November 21, 2018: International Journal of Computer Assisted Radiology and Surgery
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