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https://www.readbyqxmd.com/read/28231322/clinical-evaluation-of-new-automatic-coronary-specific-best-cardiac-phase-selection-algorithm-for-single-beat-coronary-ct-angiography
#1
Hui Wang, Lei Xu, Zhanming Fan, Junfu Liang, Zixu Yan, Zhonghua Sun
The aim of this study was to evaluate the workflow efficiency of a new automatic coronary-specific reconstruction technique (Smart Phase, GE Healthcare-SP) for selection of the best cardiac phase with least coronary motion when compared with expert manual selection (MS) of best phase in patients with high heart rate. A total of 46 patients with heart rates above 75 bpm who underwent single beat coronary computed tomography angiography (CCTA) were enrolled in this study. CCTA of all subjects were performed on a 256-detector row CT scanner (Revolution CT, GE Healthcare, Waukesha, Wisconsin, US)...
2017: PloS One
https://www.readbyqxmd.com/read/28231035/biologically-relevant-heterogeneity-metrics-and-practical-insights
#2
Albert Gough, Andrew M Stern, John Maier, Timothy Lezon, Tong-Ying Shun, Chakra Chennubhotla, Mark E Schurdak, Steven A Haney, D Lansing Taylor
Heterogeneity is a fundamental property of biological systems at all scales that must be addressed in a wide range of biomedical applications, including basic biomedical research, drug discovery, diagnostics, and the implementation of precision medicine. There are a number of published approaches to characterizing heterogeneity in cells in vitro and in tissue sections. However, there are no generally accepted approaches for the detection and quantitation of heterogeneity that can be applied in a relatively high-throughput workflow...
March 2017: SLAS Discov
https://www.readbyqxmd.com/read/28230841/magnetoencephalography-for-brain-electrophysiology-and-imaging
#3
REVIEW
Sylvain Baillet
We review the aspects that uniquely characterize magnetoencephalography (MEG) among the techniques available to explore and resolve brain function and dysfunction. While emphasizing its specific strengths in terms of millisecond source imaging, we also identify and discuss current practical challenges, in particular in signal extraction and interpretation. We also take issue with some perceived disadvantages of MEG, including the misconception that the technique is redundant with electroencephalography. Overall, MEG contributes uniquely to our deeper comprehension of both regional and large-scale brain dynamics: from the functions of neural oscillations and the nature of event-related brain activation, to the mechanisms of functional connectivity between regions and the emergence of modes of network communication in brain systems...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28230838/studying-neuroanatomy-using-mri
#4
REVIEW
Jason P Lerch, André J W van der Kouwe, Armin Raznahan, Tomáš Paus, Heidi Johansen-Berg, Karla L Miller, Stephen M Smith, Bruce Fischl, Stamatios N Sotiropoulos
The study of neuroanatomy using imaging enables key insights into how our brains function, are shaped by genes and environment, and change with development, aging and disease. Developments in MRI acquisition, image processing and data modeling have been key to these advances. However, MRI provides an indirect measurement of the biological signals we aim to investigate. Thus, artifacts and key questions of correct interpretation can confound the readouts provided by anatomical MRI. In this review we provide an overview of the methods for measuring macro- and mesoscopic structure and for inferring microstructural properties; we also describe key artifacts and confounds that can lead to incorrect conclusions...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28230717/imaging-performance-of-a-handheld-ultrasound-system-with-real-time-computer-aided-detection-of-lumbar-spine-anatomy-a-feasibility-study
#5
Mohamed Tiouririne, Adam J Dixon, F William Mauldin, David Scalzo, Arun Krishnaraj
OBJECTIVES: The aim of this study was to evaluate the imaging performance of a handheld ultrasound system and the accuracy of an automated lumbar spine computer-aided detection (CAD) algorithm in the spines of human subjects. MATERIALS AND METHODS: This study was approved by the institutional review board of the University of Virginia. The authors designed a handheld ultrasound system with enhanced bone image quality and fully automated CAD of lumbar spine anatomy...
February 22, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28230594/alveolar-molding-effect-in-infants-with-unilateral-cleft-lip-and-palate-comparison-of-two-and-three-dimensional-measurements
#6
Won Hee Lim, Eun Woo Park, Hwa Sung Chae, Soon Man Kwon, Hoi-In Jung, Seung-Hak Baek
The purpose of this study was to compare the results of two- (2D) and three-dimensional (3D) measurements for the alveolar molding effect in patients with unilateral cleft lip and palate. The sample consisted of 23 unilateral cleft lip and palate infants treated with nasoalveolar molding (NAM) appliance. Dental models were fabricated at initial visit (T0; mean age, 23.5 days after birth) and after alveolar molding therapy (T1; mean duration, 83 days). For 3D measurement, virtual models were constructed using a laser scanner and 3D software...
February 22, 2017: Journal of Craniofacial Surgery
https://www.readbyqxmd.com/read/28230179/crowdsourcing-scoring-of-immunohistochemistry-images-evaluating-performance-of-the-crowd-and-an-automated-computational-method
#7
Humayun Irshad, Eun-Yeong Oh, Daniel Schmolze, Liza M Quintana, Laura Collins, Rulla M Tamimi, Andrew H Beck
The assessment of protein expression in immunohistochemistry (IHC) images provides important diagnostic, prognostic and predictive information for guiding cancer diagnosis and therapy. Manual scoring of IHC images represents a logistical challenge, as the process is labor intensive and time consuming. Since the last decade, computational methods have been developed to enable the application of quantitative methods for the analysis and interpretation of protein expression in IHC images. These methods have not yet replaced manual scoring for the assessment of IHC in the majority of diagnostic laboratories and in many large-scale research studies...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28229318/contribution-of-computed-tomographic-imaging-to-the-management-of-acute-abdominal-pain-after-gastric-bypass-correlation-between-radiological-and-surgical-findings
#8
Pascale Karila-Cohen, Francesco Cuccioli, Pasquale Tammaro, Anne-Laure Pelletier, Daniel Gero, Jean-Pierre Marmuse, Jean-Pierre Laissy, Konstantinos Arapis
BACKGROUND: We evaluated the diagnostic accuracy of first interpretations of computed tomographic (CT) images and blind interpretation using predefined CT signs in patients with previous Roux-en-Y gastric bypass (RYGBP) and acute abdominal pain. METHODS: We performed a retrospective chart review of patients with RYGBP who underwent surgical exploration from January 2009 to December 2014 for acute abdominal pain in our university institution, excluding patients without CT scan and comparing initial CT imaging interpretation with surgical findings...
February 22, 2017: Obesity Surgery
https://www.readbyqxmd.com/read/28228966/objective-image-analysis-of-real-time-three-dimensional-intraoperative-ultrasound-for-intrinsic-brain-tumour-surgery
#9
Sophie J Camp, Vasileios Apostolopoulos, Vasileios Raptopoulos, Amrish Mehta, Kevin O'Neill, Mohammed Awad, Babar Vaqas, David Peterson, Federico Roncaroli, Dipankar Nandi
BACKGROUND: There is growing evidence that maximal surgical resection of primary intrinsic brain tumours is beneficial, both by improving progression free and overall survival and also by facilitating postoperative chemotherapy and radiotherapy. Hence, there has been an increase in the popularity of real-time intraoperative imaging in brain tumour surgery. The complex theatre arrangements, prohibitive cost and prolonged theatre time of intraoperative MRI have restricted its application...
2017: Journal of Therapeutic Ultrasound
https://www.readbyqxmd.com/read/28227985/a-multi-criteria-evaluation-platform-for-segmentation-algorithms
#10
Pierre Laurent, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Pierre Laurent, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Thierry Cresson, Carlos Vazquez, Nicola Hagemeister, Jacques A de Guise, Pierre Laurent
The purpose of this paper is to present a platform for evaluating segmentation algorithms that detect anatomical structures in medical images. Structure detection being subject to human interpretation, we first describe a method to define a ground truth model, i.e. a generated bronze standard, that will be the reference for subsequent analysis. This bronze standard will be characterized in order to retrieve its confidence level that will later be used to normalize the algorithm evaluation. We then describe how the developed platform helps in evaluating algorithm performances described using five evaluation criteria: accuracy, reliability, robustness, under/over segmentation sensitivity and outlier sensitivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227984/preliminary-study-on-the-automated-skull-fracture-detection-in-ct-images-using-black-hat-transform
#11
Ayumi Yamada, Atsushi Teramoto, Tomoko Otsuka, Kohei Kudo, Hirofumi Anno, Hiroshi Fujita, Ayumi Yamada, Atsushi Teramoto, Tomoko Otsuka, Kohei Kudo, Hirofumi Anno, Hiroshi Fujita, Tomoko Otsuka, Hiroshi Fujita, Ayumi Yamada, Kohei Kudo, Hirofumi Anno, Atsushi Teramoto
Linear skull fracture, following head trauma, may reach major blood vessels, such as the middle meningeal artery or sinus venosus, and may cause epidural hematoma. However, hematoma is likely to be missed in the initial interpretation because it spreads only gradually. In addition, the fracture lines that run along the scan slice plane are often missed during initial interpretation. In this study, we develop a novel method for automated detection of the linear skull fracture using head computed tomography (CT) images and conduct a basic evaluation using digital phantom and head phantom that enclose genuine human bones...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227421/spectral-based-pneumonia-detection-tool-using-ultrasound-data-from-pediatric-populations
#12
O Zenteno, B Castaneda, R Lavarello, O Zenteno, B Castaneda, R Lavarello, B Castaneda, O Zenteno, R Lavarello
Pediatric Pneumonia is one of the principal causes of death by year on children under the age of five worldwide. The diagnosis is commonly made by clinical criteria with support from imaging tools like radiography. Lung ultrasound has been considered a low-cost and portable alternative for pneumonia imaging; however, interpretation is subjective and requires adequate training. In the present work, a pneumonia detection algorithm based on the measurement of the fundamental bandwidth downshift over depth of ultrasound radiofrequency (RF) signals is presented...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227365/integrated-quantification-based-on-confocal-imaging-cell-crowding-modulates-heterogeneity-in-gpcr-mediated-calcium-oscillation
#13
Jophin G Joseph, S Nanda, S Vennamalla, G Bhure, Ranjana Singh, Soumya Jana, Lopamudra Giri, Jophin G Joseph, S Nanda, S Vennamalla, G Bhure, Ranjana Singh, Soumya Jana, Lopamudra Giri, Soumya Jana, Lopamudra Giri, Jophin G Joseph, S Nanda, Ranjana Singh, G Bhure, S Vennamalla
Results from single cell imaging, facilitated by high resolution microscopy, have demonstrated cell-to-cell variability within the same cell population in contexts ranging from cell growth to cell migration. Recent studies suggest that such variability conveys important information about diseased states. However, manual analysis and interpretation of heterogeneous calcium oscillation based on time-lapsed images, as practiced today, is tedious, and essentially infeasible for large datasets. As a practical alternative, we present an integrated platform that includes calcium imaging using confocal microscope, algorithmic cell segmentation, and statistical analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227364/a-method-to-quantify-co-localization-in-biological-images
#14
Shiwen Zhu, Roy E Welsch, Paul T Matsudaira, Shiwen Zhu, Roy E Welsch, Paul T Matsudaira, Roy E Welsch, Paul T Matsudaira, Shiwen Zhu
Quantitative co-localization analysis with fluorescent microscopy is a common approach to assess the spatial co-ordination of molecules and thus to understand their functions in biological processes. However, the co-localization analysis results might not be consistent due to various imaging conditions and different quantification methods used. We propose a novel method to separate a co-localization event into two aspects: co-occurrence and intensity correlation, which are usually combined as one parameter in other quantitative co-localization analyses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226714/a-unified-bayesian-based-compensated-magnetic-resonance-imaging
#15
Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A Haider, Farzad Khalvati, Alexander Wong, Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A Haider, Farzad Khalvati, Alexander Wong, Alexander Wong, Mohammad Javad Shafiee, Edward Li, Masoom A Haider, Ameneh Boroomand, Farzad Khalvati
Magnetic resonance (MR) images of higher quality is demanded for helping with more accurate and earlier diagnosis of different diseases. The overall quality of MR images is limited due to the existence of different degradation factors such as (1) MR aberrations due to intrinsic properties of the MR scanner, (2) magnetic field inhomogeneity, and (3) inherent MRI noise. Correcting each MRI degradation factor could be solely useful for the quality enhancement of MR imaging with a limited impact. Here, we propose a unified Bayesian based compensated MR imaging (CMRI) system which jointly corrects for the different aforementioned MR aberrations as well as MR noise and hence generates compensated MR (CMR) images with a higher quality...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226710/quantitative-analysis-of-histological-tissue-image-based-on-cytological-profiles-and-spatial-statistics
#16
Young Hwan Chang, Guillaume Thibault, Vahid Azimi, Brett Johnson, Danielle Jorgens, Jason Link, Adam Margolin, Joe W Gray, Young Hwan Chang, Guillaume Thibault, Vahid Azimi, Brett Johnson, Danielle Jorgens, Jason Link, Adam Margolin, Joe W Gray, Danielle Jorgens, Brett Johnson, Adam Margolin, Young Hwan Chang, Vahid Azimi, Jason Link, Joe W Gray, Guillaume Thibault
The cellular heterogeneity and complex tissue architecture of most tumor samples is a major obstacle in image analysis on standard hematoxylin and eosin-stained (H&E) tissue sections. A mixture of cancer and normal cells complicates the interpretation of their cytological profiles. Furthermore, spatial arrangement and architectural organization of cells are generally not reflected in cellular characteristics analysis. To address these challenges, first we describe an automatic nuclei segmentation of H&E tissue sections...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226682/extraction-of-medically-interpretable-features-for-classification-of-malignancy-in-breast-thermography
#17
Himanshu Madhu, Siva Teja Kakileti, Krithika Venkataramani, Susmija Jabbireddy, Himanshu Madhu, Siva Teja Kakileti, Krithika Venkataramani, Susmija Jabbireddy, Susmija Jabbireddy, Krithika Venkataramani, Siva Teja Kakileti, Himanshu Madhu
Thermography, with high-resolution cameras, is being re-investigated as a possible breast cancer screening imaging modality, as it does not have the harmful radiation effects of mammography. This paper focuses on automatic extraction of medically interpretable non-vascular thermal features. We design these features to differentiate malignancy from different non-malignancy conditions, including hormone sensitive tissues and certain benign conditions, which have an increased thermal response. These features increase the specificity for breast cancer screening, which had been a long known problem in thermographic screening, while retaining high sensitivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226605/semi-automated-image-analysis-of-gel-electrophoresis-of-cerebrospinal-fluid-for-oligoclonal-band-detection
#18
S Boudet, L Peyrodie, Z Wang, G Forzy, S Boudet, L Peyrodie, Z Wang, G Forzy, Z Wang, L Peyrodie, S Boudet, G Forzy
Detection of oligoclonal electrophoretic bands in cerebrospinal fluid (CSF) is an important diagnostic tool for Multiple Sclerosis (MS). Electrophoretic profiles are difficult to interpret due to low contrast and artefacts. A semi-automated method to ease analysis and to reduce subjectivity is presented. The method sequentially converts color images to grayscale, realigns bands, removes artifacts, then converts 2D images to a signal, before detecting, thresholding and editing peaks to optimize profiles. Such treated profiles (21 positive and 15 negative) are compared to ground truth analysis of an expert biologist...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226446/a-challenging-issue-detection-of-white-matter-hyperintensities-in-neonatal-brain-mri
#19
Baptiste Morel, Yongchao Xu, Alessio Virzi, Thierry Geraud, Catherine Adamsbaum, Isabelle Bloch, Baptiste Morel, Yongchao Xu, Alessio Virzi, Thierry Geraud, Catherine Adamsbaum, Isabelle Bloch, Alessio Virzi, Yongchao Xu, Thierry Geraud, Catherine Adamsbaum, Isabelle Bloch, Baptiste Morel
The progress of magnetic resonance imaging (MRI) allows for a precise exploration of the brain of premature infants at term equivalent age. The so-called DEHSI (diffuse excessive high signal intensity) of the white matter of premature brains remains a challenging issue in terms of definition, and thus of interpretation. We propose a semi-automatic detection and quantification method of white matter hyperintensities in MRI relying on morphological operators and max-tree representations, which constitutes a powerful tool to help radiologists to improve their interpretation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226399/wavelet-based-scaling-indices-for-breast-cancer-diagnostics
#20
T Roberts, M Newell, W Auffermann, B Vidakovic
Mammography is routinely used to screen for breast cancer. However, the radiological interpretation of mammogram images is complicated by the heterogeneous nature of normal breast tissue and the fact that cancers are often of the same radiographic density as normal tissue. In this work, we use wavelets to quantify spectral slopes of breast cancer cases and controls and demonstrate their value in classifying images. In addition, we propose asymmetry statistics to be used in forming features, which improve the classification result...
February 22, 2017: Statistics in Medicine
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