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https://www.readbyqxmd.com/read/28239949/temporal-trends-in-peripheral-arterial-interventions-observations-from-the-blue-cross-blue-shield-of-michigan-cardiovascular-consortium-bmc2-pvi
#1
Michael P Thomas, Yeo Jung Park, Scott Grey, Theodore L Schreiber, Hitinder S Gurm, Dale Leffler, Thomas P Davis, Peter Henke, Paul Michael Grossman
OBJECTIVES: The aim is to examine trends in procedural indication, arterial beds treated, and device usage in peripheral arterial interventions (PVIs). BACKGROUND: There is little data on indication, vascular beds treated and devices utilized for peripheral arterial interventions. METHODS: We used data from 43 hospitals participating in the BMC2 VIC registry. PVIs were separated by year and divided by arterial segment. Lower extremity PVIs were subclassified as having been performed for claudication or critical limb ischemia (CLI)...
February 27, 2017: Catheterization and Cardiovascular Interventions
https://www.readbyqxmd.com/read/28238858/automatic-detection-of-periods-of-slow-wave-sleep-based-on-intracranial-depth-electrode-recordings
#2
Chrystal M Reed, Kurtis Birch, Jan Kaminski, Shannon Sullivan, Jeffrey M Chung, Adam Mamelak, Ueli Rutishauser
BACKGROUND: An automated process for sleep staging based on intracranial EEG data alone is needed to facilitate research into the neural processes occurring during slow wave sleep (SWS). Current manual methods for sleep scoring require a full polysomnography (PSG) set-up, including electrooculography (EOG), electromyography (EMG), and scalp electroencephalography (EEG). This set-up can be technically difficult to place in the presence of intracranial EEG electrodes. There is thus a need for a method for sleep staging based on intracranial recordings alone...
February 23, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28238738/reference-standard-space-hippocampus-labels-according-to-the-eadc-adni-harmonized-protocol-utility-in-automated-volumetry
#3
Dominik Wolf, Martina Bocchetta, Gregory M Preboske, Marina Boccardi, Michel J Grothe
BACKGROUND: A harmonized protocol (HarP) for manual hippocampal segmentation on magnetic resonance imaging (MRI) has recently been developed by an international European Alzheimer's Disease Consortium-Alzheimer's Disease Neuroimaging Initiative project. We aimed at providing consensual certified HarP hippocampal labels in Montreal Neurological Institute (MNI) standard space to serve as reference in automated image analyses. METHODS: Manual HarP tracings on the high-resolution MNI152 standard space template of four expert certified HarP tracers were combined to obtain consensual bilateral hippocampus labels...
February 23, 2017: Alzheimer's & Dementia: the Journal of the Alzheimer's Association
https://www.readbyqxmd.com/read/28238733/fragmentation-of-the-crispr-cas-type-i-b-signature-protein-cas8b
#4
Hagen Richter, Judith Rompf, Julia Wiegel, Kristina Rau, Lennart Randau
BACKGROUND: CRISPR arrays are transcribed into long precursor RNA species, which are further processed into mature CRISPR RNAs (crRNAs). Cas proteins utilize these crRNAs, which contain spacer sequences that can be derived from mobile genetic elements, to mediate immunity during a reoccurring virus infection. Type I CRISPR-Cas systems are defined by the presence of different Cascade interference complexes containing large and small subunits that play major roles during target DNA selection...
February 23, 2017: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/28229077/surgical-therapy-of-cholangiocarcinoma
#5
REVIEW
Arnold Radtke, Alfred Königsrainer
BACKGROUND: The majority of patients with cholangiocarcinoma present with advanced disease that is often challenging to diagnose and to treat. The optimal preoperative evaluation requires a coordinated multidisciplinary approach. Surgical resection is the mainstay of therapy. METHODS: This systematic review delineates surgical treatment strategies for cholangiocarcinoma in general as well as special considerations concerning the particular tumor localization. A literature search (see keywords) was conducted using PubMed and publications between 1990 and 2016 regarding resectable and advanced cholangiocarcinoma were reviewed...
December 2016: Visceral Medicine
https://www.readbyqxmd.com/read/28228701/chiropractic-management-of-a-patient-with-thoracic-pain-and-a-stable-thoracic-aortic-aneurysm-a-case-report
#6
Shawn M Neff, Casey S Okamoto
OBJECTIVE: The purpose of this case report was to describe chiropractic management of thoracic pain in a patient with a stable thoracic aortic aneurysm. CLINICAL FEATURES: An 89-year-old man presented with axial mid- and upper back pain localized predominantly at the T8 and T1 spinal segmental levels. A review of available imaging revealed a stable aneurysmal dilatation of the ascending aorta, which measured 4.3 cm. INTERVENTION AND OUTCOME: Because the thoracic pain was musculoskeletal in nature and the thoracic aortic aneurysm was stable, mechanical manipulation was provided using the Impulse adjusting instrument...
March 2017: Journal of Chiropractic Medicine
https://www.readbyqxmd.com/read/28228614/current-solutions-for-long-segment-tracheal-reconstruction
#7
Ahmed A Abouarab, Hany H Elsayed, Hussein Elkhayat, Ahmed Mostafa, David C Cleveland, Ahmed El Nori
This article is a continuation of previous reviews about the appropriate method for long-segment tracheal reconstruction. We attempted to cover the most recent, successful and promising results of the different solutions for reconstruction that are rather innovative and suitable for imminent clinical application. Latest efforts to minimize the limitations associated with each method have been covered as well. In summary, autologous and allogenic tissue reconstruction of the trachea have been successful methods for reconstruction experimentally and clinically...
February 23, 2017: Annals of Thoracic and Cardiovascular Surgery
https://www.readbyqxmd.com/read/28227983/3d-small-structure-detection-in-medical-image-using-texture-analysis
#8
Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Min Zhang, Teresa Wu, Fei Gao, Kevin M Bennett
Small structure segmentation from medical images is a challenging problem yet has important applications. Examples are labeling cell, lesion and glomeruli for disease diagnosis, just to name a few. Though extensive research has proposed various detectors for this type of problem, most are 2D detectors. Recently, we have developed a Hessian based 3D detector to segment small structures from medical images (e.g., MRI). In our detector, two 3D geometrical features: regional blobness and flatness, in conjunction with the intensity features are fully utilized to serve the segmentation purpose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227935/heart-sound-segmentation-using-fractal-decomposition
#9
Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan, Rijil Thomas, Ling Lieng Hsi, Soh Cheong Boon, Erry Gunawan
In order to assist cardiac diagnosis by phonocardiography, the automated identification of fundamental heart sounds for heart beat segmentation in a cardiac cycle plays a significant role in signal processing. Recent advancements in signal processing have also shown the potential of multifractality in biomedical applications. Hence, in this paper, the multifractal property of heart sounds is utilized to identify first and second heart sounds. The root mean square (rms) fluctuation used to obtain multifractal/singularity spectrum is used to decompose the heart sound into its own fractally-important components in time domain along with simultaneous Gaussianity test to filter out fundamental components...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227926/a-fast-approximation-method-for-principal-component-analysis-applied-to-ecg-derived-respiration-for-osa-detection
#10
Nadi Sadr, Philip de Chazal, Nadi Sadr, Philip de Chazal, Nadi Sadr, Philip de Chazal
In this paper, we present an approximation method for principal component analysis (PCA) and apply it to estimating the respiration from the overnight ECG signal. The approximation method is computationally fast with low memory requirements. We compare it to a full PCA method which is applied to segments of the ECG. Features were calculated from the two ECG derived respiration signals (EDR) and classifiers trained to detect obstructive sleep apnoea (OSA). The Extreme Learning Machine and Linear Discriminant classifier were used to classify the recordings...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227796/estimation-of-joint-center-and-measurement-of-finger-motion-by-inertial-sensors
#11
Keisuke Kitano, Akihito Ito, Nobutaka Tsujiuchi, Shigeru Wakida, Keisuke Kitano, Akihito Ito, Nobutaka Tsujiuchi, Shigeru Wakida, Akihito Ito, Shigeru Wakida, Keisuke Kitano, Nobutaka Tsujiuchi
The authors developed a wearable finger motion measurement system using inertial and geomagnetic sensors. Using this system, motion and posture of the hands and fingers can be measured. However, the joint center and segment axis cannot be accurately measured in a previous study using the sensors. Therefore, the authors proposed a method of estimating the joint center and segment lengths. This method utilizes the fact that the calculation formula of the rotational acceleration in the sensor's coordinate system is the vector product...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227538/accurate-upper-body-rehabilitation-system-using-kinect
#12
Sanjana Sinha, Brojeshwar Bhowmick, Kingshuk Chakravarty, Aniruddha Sinha, Abhijit Das, Sanjana Sinha, Brojeshwar Bhowmick, Kingshuk Chakravarty, Aniruddha Sinha, Abhijit Das, Abhijit Das, Kingshuk Chakravarty, Brojeshwar Bhowmick, Aniruddha Sinha, Sanjana Sinha
The growing importance of Kinect as a tool for clinical assessment and rehabilitation is due to its portability, low cost and markerless system for human motion capture. However, the accuracy of Kinect in measuring three-dimensional body joint center locations often fails to meet clinical standards of accuracy when compared to marker-based motion capture systems such as Vicon. The length of the body segment connecting any two joints, measured as the distance between three-dimensional Kinect skeleton joint coordinates, has been observed to vary with time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227232/itk-snap-an-interactive-tool-for-semi-automatic-segmentation-of-multi-modality-biomedical-images
#13
Paul A Yushkevich, Yang Gao, Guido Gerig, Paul A Yushkevich, Yang Gao, Guido Gerig, Yang Gao, Paul A Yushkevich, Guido Gerig
Obtaining quantitative measures from biomedical images often requires segmentation, i.e., finding and outlining the structures of interest. Multi-modality imaging datasets, in which multiple imaging measures are available at each spatial location, are increasingly common, particularly in MRI. In applications where fully automatic segmentation algorithms are unavailable or fail to perform at desired levels of accuracy, semi-automatic segmentation can be a time-saving alternative to manual segmentation, allowing the human expert to guide segmentation, while minimizing the effort expended by the expert on repetitive tasks that can be automated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227012/detection-of-mitotic-nuclei-in-breast-histopathology-images-using-localized-acm-and-random-kitchen-sink-based-classifier
#14
K Sabeena Beevi, Madhu S Nair, G R Bindu, K Sabeena Beevi, Madhu S Nair, G R Bindu, G R Bindu, Madhu S Nair
The exact measure of mitotic nuclei is a crucial parameter in breast cancer grading and prognosis. This can be achieved by improving the mitotic detection accuracy by careful design of segmentation and classification techniques. In this paper, segmentation of nuclei from breast histopathology images are carried out by Localized Active Contour Model (LACM) utilizing bio-inspired optimization techniques in the detection stage, in order to handle diffused intensities present along object boundaries. Further, the application of a new optimal machine learning algorithm capable of classifying strong non-linear data such as Random Kitchen Sink (RKS), shows improved classification performance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226882/development-of-a-real-time-activity-monitoring-android-application-utilizing-smartstep
#15
Nagaraj Hegde, Edward Melanson, Edward Sazonov, Nagaraj Hegde, Edward Melanson, Edward Sazonov, Nagaraj Hegde, Edward Melanson, Edward Sazonov
Footwear based activity monitoring systems are becoming popular in academic research as well as consumer industry segments. In our previous work, we had presented developmental aspects of an insole based activity and gait monitoring system-SmartStep, which is a socially acceptable, fully wireless and versatile insole. The present work describes the development of an Android application that captures the SmartStep data wirelessly over Bluetooth Low energy (BLE), computes features on the received data, runs activity classification algorithms and provides real time feedback...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226780/modeling-of-coupled-differential-equations-for-cellular-chemical-signaling-pathways-implications-for-assay-protocols-utilized-in-cellular-engineering
#16
George D O'Clock, George D O'Clock, George D O'Clock
Cellular engineering involves modification and control of cell properties, and requires an understanding of fundamentals and mechanisms of action for cellular derived product development. One of the keys to success in cellular engineering involves the quality and validity of results obtained from cell chemical signaling pathway assays. The accuracy of the assay data cannot be verified or assured if the effect of positive feedback, nonlinearities, and interrelationships between cell chemical signaling pathway elements are not understood, modeled, and simulated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226738/automatic-anterior-chamber-angle-structure-segmentation-in-as-oct-image-based-on-label-transfer
#17
Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Mani Baskaran, Shamira A Perera, Tin Aung, Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Mani Baskaran, Shamira A Perera, Tin Aung, Mani Baskaran, Tin Aung, Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Shamira A Perera
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/28226732/lung-tumor-boundary-tracking-in-mri-with-moving-mesh-correspondences-for-adaptive-radio-therapy
#18
Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar, Nazanin Tahmasebi, Pierre Boulanger, Kumaradevan Punithakumar, Kumaradevan Punithakumar, Pierre Boulanger, Nazanin Tahmasebi
Delineation of lung tumor regions from magnetic resonance imaging (MRI) poses many difficulties due to MR signal similarities of the region of interest and surrounding area as well as the influence of respiration. However, accurate segmentation of the tumor region is of utmost importance in planning a radiation therapy since a small error can result in some healthy tissues to receive excessive radiation. This study presents a semi-automated method to delineate lung tumor regions from a sequence of MRIs. The proposed method uses a non-rigid image registration framework to propagate the boundaries of the tumor region in MRI acquired during a radiation treatment stage, given manual segmentation on frames acquired during pretreatment stage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226731/automatic-detection-of-hemorrhage-and-surgical-instrument-in-laparoscopic-surgery-image
#19
Kyungmin Jo, Bareum Choi, Songe Choi, Youngjin Moon, Jaesoon Choi, Kyungmin Jo, Bareum Choi, Songe Choi, Youngjin Moon, Jaesoon Choi, Songe Choi, Jaesoon Choi, Bareum Choi, Youngjin Moon, Kyungmin Jo
In this paper, we propose a new method for detecting hemorrhage areas and surgical instruments in robot-assisted laparoscopic surgery images. The proposed scheme utilizes CIELAB information to identify a region of interest (ROI) and segment it. Histogram equalization and Otsu's method are also adopted to compute the detection threshold. Detection is performed automatically and additional adjustment of parameters is not needed. Experiments to verify the proposed algorithm were conducted using actual robot-assisted laparoscopic surgery images...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226727/surgical-fiducial-segmentation-and-tracking-for-pose-estimation-based-on-ultrasound-b-mode-images
#20
Lei Chen, Nathanael Kuo, Fereshteh Aalamifar, David Narrow, Devin Coon, Jerry Prince, Emad M Boctor, Lei Chen, Nathanael Kuo, Fereshteh Aalamifar, David Narrow, Devin Coon, Jerry Prince, Emad M Boctor, David Narrow, Emad M Boctor, Devin Coon, Lei Chen, Jerry Prince, Nathanael Kuo, Fereshteh Aalamifar
Doppler ultrasound is a non-invasive diagnostic tool for the quantitative measurement of blood flow. However, given that it provides velocity data that is dependent on the location and angle of measurement, repeat measurements to detect problems over time may require an expert to return to the same location. We therefore developed an image-guidance system based on ultrasound B-mode images that enables an inexperienced user to position the ultrasound probe at the same site repeatedly in order to acquire a comparable time series of Doppler readings...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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