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https://www.readbyqxmd.com/read/28446256/innovation-informed-consent-health-research-and-the-supreme-court-montgomery-v-lanarkshire-a-brave-new-world
#1
Jean V McHale
The Supreme Court decision in Montgomery v Lanarkshire ([2015] UKSC11) has been hailed as a landmark not least because the Court enshrines the doctrine of informed consent formally into English law for the first time in relation to medical treatment. This paper explores the decision in Montgomery. It examines what its implications may be in the future for the consent process in relation to health research and innovative treatment and whether it may prove a watershed moment leading to changing dialogues and expectations in relation to consent...
April 27, 2017: Health Economics, Policy, and Law
https://www.readbyqxmd.com/read/28431275/learning-non-rigid-deformations-for-robust-constrained-point-based-registration-in-image-guided-mr-trus-prostate-intervention
#2
John A Onofrey, Lawrence H Staib, Saradwata Sarkar, Rajesh Venkataraman, Cayce B Nawaf, Preston C Sprenkle, Xenophon Papademetris
Accurate and robust non-rigid registration of pre-procedure magnetic resonance (MR) imaging to intra-procedure trans-rectal ultrasound (TRUS) is critical for image-guided biopsies of prostate cancer. Prostate cancer is one of the most prevalent forms of cancer and the second leading cause of cancer-related death in men in the United States. TRUS-guided biopsy is the current clinical standard for prostate cancer diagnosis and assessment. State-of-the-art, clinical MR-TRUS image fusion relies upon semi-automated segmentations of the prostate in both the MR and the TRUS images to perform non-rigid surface-based registration of the gland...
April 12, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28426520/nursing-practice-research-and-education-in-the-west-the-best-is-yet-to-come
#3
Heather M Young, Susan Bakewell-Sachs, Linda Sarna
PURPOSE: This paper celebrates the 60th anniversary of the Western Institute of Nursing, the nursing organization representing 13 states in the Western United States, and envisions a preferred future for nursing practice, research, and education. BACKGROUND: Three landmark calls to action contribute to transforming nursing and healthcare: the Patient Protection and Affordable Care Act of 2010; the Institute of Medicine report Future of Nursing: Leading Change, Advancing Health; and the report Advancing Healthcare Transformation: A New Era for Academic Nursing...
May 2017: Nursing Research
https://www.readbyqxmd.com/read/28425946/robot-beacon-distributed-range-only-slam-for-resource-constrained-operation
#4
Arturo Torres-González, Jose Ramiro Martínez-de Dios, Anibal Ollero
This work deals with robot-sensor network cooperation where sensor nodes (beacons) are used as landmarks for Range-Only (RO) Simultaneous Localization and Mapping (SLAM). Most existing RO-SLAM techniques consider beacons as passive devices disregarding the sensing, computational and communication capabilities with which they are actually endowed. SLAM is a resource-demanding task. Besides the technological constraints of the robot and beacons, many applications impose further resource consumption limitations...
April 20, 2017: Sensors
https://www.readbyqxmd.com/read/28417467/retraction-statement-cxcl12-cxcr4-chemokine-signaling-in-spinal-glia-induces-pain-hypersensitivity-through-mapks-mediated-neuroinflammation-in-bone-cancer-rats
#5
(no author information available yet)
'CXCL12/CXCR4 chemokine signaling in spinal glia induces pain hypersensitivity through MAPKs-mediated neuroinflammation in bone cancer rats' by Hu X.-M., Liu Y.-N., Zhang H.-L., Cao S.-B., Zhang T., Chen L.-P. and Shen W. The above article from Journal of Neurochemistry, published online on 26 January 2015 and in volume 132, issue 4, pages 452-463 (available through www.onlinelibrary.wiley.com), and its subsequent Corrigendum, published online on 5 February 2015 and in volume 132, issue 4, p. 487, have been retracted by agreement between the Journal's Editor-in-Chief, Jörg Schulz, corresponding author Wen Shen on behalf of the authors, and John Wiley & Sons Ltd...
May 2017: Journal of Neurochemistry
https://www.readbyqxmd.com/read/28401705/a-3d-virtual-reality-ophthalmoscopy-trainer
#6
Andrew S Wilson, Jake O'Connor, Lewis Taylor, David Carruthers
BACKGROUND: Performing eye examinations is an important clinical skill that medical students often find difficult to become proficient in. This paper describes the development and evaluation of an innovative 3D virtual reality (VR) training application to support learning these skills. METHODS: The VR ophthalmoscope was developed by a clinical team and technologist using the unity game engine, smartphone and virtual reality headset. It has a series of tasks that include performing systematic eye examinations, identifying common eye pathologies and a knowledge quiz...
April 12, 2017: Clinical Teacher
https://www.readbyqxmd.com/read/28399476/geodesic-shape-regression-with-multiple-geometries-and-sparse-parameters
#7
James Fishbaugh, Stanley Durrleman, Marcel Prastawa, Guido Gerig
Many problems in medicine are inherently dynamic processes which include the aspect of change over time, such as childhood development, aging, and disease progression. From medical images, numerous geometric structures can be extracted with various representations, such as landmarks, point clouds, curves, and surfaces. Different sources of geometry may characterize different aspects of the anatomy, such as fiber tracts from DTI and subcortical shapes from structural MRI, and therefore require a modeling scheme which can include various shape representations in any combination...
April 5, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28391808/fully-automated-nipple-detection-in-digital-breast-tomosynthesis
#8
Seung-Hoon Chae, Ji-Wook Jeong, Jang-Hwan Choi, Eun Young Chae, Hak Hee Kim, Young-Wook Choi, Sooyeul Lee
BACKGROUND AND OBJECTIVE: We propose a nipple detection algorithm for use with digital breast tomosynthesis (DBT) images. DBT images have been developed to overcome the weaknesses of 2D mammograms for denser breasts by providing 3D breast images. The nipple location acts as an invaluable landmark in DBT images for aligning the right and left breasts and describing the relative location of any existing lesions. METHODS: Nipples may be visible or invisible in a breast image, and therefore a nipple detection method must be able to detect the nipples for both cases...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28381245/estimation-of-myocardial-deformation-using-correlation-image-velocimetry
#9
Athira Jacob, Ganapathy Krishnamurthi, Manikandan Mathur
BACKGROUND: Tagged Magnetic Resonance (tMR) imaging is a powerful technique for determining cardiovascular abnormalities. One of the reasons for tMR not being used in routine clinical practice is the lack of easy-to-use tools for image analysis and strain mapping. In this paper, we introduce a novel interdisciplinary method based on correlation image velocimetry (CIV) to estimate cardiac deformation and strain maps from tMR images. METHODS: CIV, a cross-correlation based pattern matching algorithm, analyses a pair of images to obtain the displacement field at sub-pixel accuracy with any desired spatial resolution...
April 5, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28371777/facial-expression-recognition-based-on-deep-evolutional-spatial-temporal-networks
#10
Kaihao Zhang, Yongzhen Huang, Yong Du, Liang Wang
One key challenging issue of facial expression recognition is to capture the dynamic variation of facial physical structure from videos. In this paper, we propose a Part-based Hierarchical Bidirectional Recurrent Neural Network (PHRNN) to analyze the facial expression information of temporal sequences. Our PHRNN models facial morphological variations and dynamical evolution of expressions, which is effective to extract "temporal features" based on facial landmarks (geometry information) from consecutive frames...
March 30, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28335555/activity-recognition-and-semantic-description-for-indoor-mobile-localization
#11
Sheng Guo, Hanjiang Xiong, Xianwei Zheng, Yan Zhou
As a result of the rapid development of smartphone-based indoor localization technology, location-based services in indoor spaces have become a topic of interest. However, to date, the rich data resulting from indoor localization and navigation applications have not been fully exploited, which is significant for trajectory correction and advanced indoor map information extraction. In this paper, an integrated location acquisition method utilizing activity recognition and semantic information extraction is proposed for indoor mobile localization...
March 21, 2017: Sensors
https://www.readbyqxmd.com/read/28328064/a-bibliometric-analysis-of-pediatric-liver-transplantation-publications
#12
Dermot T McDowell, Alexandre Darani, Albert Shun, Gordon Thomas, Andrew J A Holland
Citation counts can identify landmark papers. The aim of this study was to identify and characterize the top-cited articles in the pediatric liver transplantation literature. A search strategy for the Scopus(®) database was designed for pediatric liver transplantation publications from 1945 to 2014. The 50 top-cited articles were analyzed. Author co-citation analysis was performed using VOSviewer techniques. There were 2896 articles published between 1969 and 2015. The mean citation count of the top 50 cited articles was 166 (range 95-635)...
March 22, 2017: Pediatric Transplantation
https://www.readbyqxmd.com/read/28320671/an-indoor-wayfinding-system-based-on-geometric-features-aided-graph-slam-for-the-visually-impaired
#13
He Zhang, Cang Ye
This paper presents a 6-DOF pose estimation (PE) method and an indoor wayfinding system based on the method for the visually impaired. The PE method involves two graph SLAM processes to reduce the accumulative pose error of the device. In the first step, the floor plane is extracted from the 3D camera's point cloud and added as a landmark node into the graph for 6-DOF SLAM to reduce roll, pitch and Z errors. In the second step, the wall lines are extracted and incorporated into the graph for 3-DOF SLAM to reduce X, Y and yaw errors...
March 15, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28316979/a-registration-method-based-on-contour-point-cloud-for-3d-whole-body-pet-and-ct-images
#14
Zhiying Song, Huiyan Jiang, Qiyao Yang, Zhiguo Wang, Guoxu Zhang
The PET and CT fusion image, combining the anatomical and functional information, has important clinical meaning. An effective registration of PET and CT images is the basis of image fusion. This paper presents a multithread registration method based on contour point cloud for 3D whole-body PET and CT images. Firstly, a geometric feature-based segmentation (GFS) method and a dynamic threshold denoising (DTD) method are creatively proposed to preprocess CT and PET images, respectively. Next, a new automated trunk slices extraction method is presented for extracting feature point clouds...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28287567/experimental-design-for-laser-microdissection-rna-seq-lessons-from-an-analysis-of-maize-leaf-development
#15
Robyn M Johnston, Anne W Sylvester, Michael J Scanlon
Genes with important roles in development frequently have spatially and/or temporally restricted expression patterns. Often these gene transcripts are not detected or are not identified as differentially expressed (DE) in transcriptomic analyses of whole plant organs. Laser Microdissection RNA-Seq (LM RNA-Seq) is a powerful tool to identify genes that are DE in specific developmental domains. However, the choice of cellular domains to microdissect and compare, and the accuracy of the microdissections are crucial to the success of the experiments...
March 5, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28273512/multi-resolution-multi-object-statistical-shape-models-based-on-the-locality-assumption
#16
Matthias Wilms, Heinz Handels, Jan Ehrhardt
Statistical shape models learned from a population of previously observed training shapes are nowadays widely used in medical image analysis to aid segmentation or classification. However, providing an appropriate and representative training population of preferably manual segmentations is typically either very labor-intensive or even impossible. Therefore, statistical shape models in practice frequently suffer from the high-dimension-low-sample-size (HDLSS) problem resulting in models with insufficient expressiveness...
February 17, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28271959/anthropometry-of-brazilian-air-force-pilots
#17
Gilvan V da Silva, Manny Halpern, Claire C Gordon
Anthropometric data are essential for the design of military equipment including sizing of aircraft cockpits and personal gear. Currently, there are no anthropometric databases specific to Brazilian military personnel. The aim of this study was to create a Brazilian anthropometric database of Air Force pilots. The methods, protocols, descriptions, definitions, landmarks, tools and measurements procedures followed the instructions outlined in Measurer's Handbook: US Army and Marine Corps Anthropometric Surveys, 2010-2011 - NATICK/TR-11/017...
March 14, 2017: Ergonomics
https://www.readbyqxmd.com/read/28268998/mapping-the-retinas-of-a-patient-using-a-mixed-set-of-fundus-photographs-from-both-eyes
#18
Gwenole Quellec, Mathieu Lamard, Guy Cazuguel, Ali Erginay, Beatrice Cochener
With the increased prevalence of retinal pathologies, automating the detection and progression measurement of these pathologies is becoming more and more relevant. Color fundus photography is the leading modality for assessing retinal pathologies. Because eye fundus cameras have a limited field of view, multiple photographs are taken from each retina during an eye fundus examination. However, operators usually don't indicate which photographs are from the left retina and which ones are from the right retina...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268561/automatic-anterior-chamber-angle-structure-segmentation-in-as-oct-image-based-on-label-transfer
#19
Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Mani Baskaran, Shamira A Perera, Tin Aung
The anterior chamber angle (ACA) plays an important role for diagnosis and treatment of angle-closure glaucoma. Anterior Segment Optical Coherence Tomography (AS-OCT) imaging is qualitative and quantitative assessment for the ACA structure. In this paper, we propose a novel fully automatic segmentation method for anterior chamber angle structure in AS-OCT. In our method, the initial labels are obtained by using label transfer from the AS-OCT reference dataset. Then, these labels are refined and utilized as the landmarks to support the structure segmentation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268532/slice-correspondence-estimation-using-surf-descriptors-and-context-based-search-for-prostate-whole-mount-histology-mri-registration
#20
Lina Guzman, Frederic Commandeur, Oscar Acosta, Antoine Simon, Alain Fautrel, Nathalie Rioux-Leclercq, Eduardo Romero, Romain Mathieu, Renaud de Crevoisier
Registration of histopathology volumes to Magnetic Resonance Images(MRI) is a crucial step for finding correlations in Prostate Cancer (PCa) and assessing tumor agressivity. This paper proposes a two-stage framework aimed at registering both modalities. Firstly, Speeded-Up Robust Features (SURF) algorithm and a context-based search is used to automatically determine slice correspondences between MRI and histology volumes. This step initializes a multimodal nonrigid registration strategy, which allows to propagate histology slices to MRI...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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