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Medical image processing

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https://www.readbyqxmd.com/read/29051609/liquid-infused-nitric-oxide-releasing-linorel-silicone-for-decreased-fouling-thrombosis-and-infection-of-medical-devices
#1
Marcus J Goudie, Jitendra Pant, Hitesh Handa
Recent reports on liquid-infused materials have shown promise in creating ultra-low fouling surfaces, but are limited in their ability to prevent bacterial proliferation and prevent platelet activation in blood-contacting applications. In this work, a liquid-infused nitric oxide-releasing (LINORel) material is created by incorporating the nitric oxide (NO) donor S-nitroso-acetylpenicillamine (SNAP) and silicone oil in commercial medical grade silicone rubber tubing through a solvent swelling process. This combination provides several key advantages over previous NO-releasing materials, including decreased leaching of NO donor, controlled release of NO, and maintenance of ultra-low fouling property of liquid-infused materials...
October 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29050487/use-of-graph-algorithms-in-the-processing-and-analysis-of-images-with-focus-on-the-biomedical-data
#2
M Zdimalova, R Roznovjak, P Weismann, H El Falougy, E Kubikova
INTRODUCTION: Image segmentation is a known problem in the field of image processing. A great number of methods based on different approaches to this issue was created. One of these approaches utilizes the findings of the graph theory. METHODS: Our work focuses on segmentation using shortest paths in a graph. Specifically, we deal with methods of "Intelligent Scissors," which use Dijkstra's algorithm to find the shortest paths. RESULTS: We created a new software in Microsoft Visual Studio 2013 integrated development environment Visual C++ in the language C++/CLI...
2017: Bratislavské Lekárske Listy
https://www.readbyqxmd.com/read/29049909/automatic-selection-of-localized-region-based-active-contour-models-using-image-content-analysis-applied-to-brain-tumor-segmentation
#3
Elisee Ilunga-Mbuyamba, Juan Gabriel Avina-Cervantes, Jonathan Cepeda-Negrete, Mario Alberto Ibarra-Manzano, Claire Chalopin
Brain tumor segmentation is a routine process in a clinical setting and provides useful information for diagnosis and treatment planning. Manual segmentation, performed by physicians or radiologists, is a time-consuming task due to the large quantity of medical data generated presently. Hence, automatic segmentation methods are needed, and several approaches have been introduced in recent years including the Localized Region-based Active Contour Model (LRACM). There are many popular LRACM, but each of them presents strong and weak points...
October 7, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29043858/melanoma-segmentation-based-on-deep-learning
#4
Xiaoqing Zhang
Malignant melanoma is one of the most deadly forms of skin cancer, which is one of the world's fastest-growing cancers. Early diagnosis and treatment is critical. In this study, a neural network structure is utilized to construct a broad and accurate basis for the diagnosis of skin cancer, thereby reducing screening errors. The technique is able to improve the efficacy for identification of normally indistinguishable lesions (such as pigment spots) versus clinically unknown lesions, and to ultimately improve the diagnostic accuracy...
October 18, 2017: Computer Assisted Surgery (Abingdon, England)
https://www.readbyqxmd.com/read/29043378/-neurogenic-myopathies-and-imaging-of-muscle-denervation
#5
REVIEW
M Wolf, C Wolf, M-A Weber
CLINICAL ISSUE: Neurogenic myopathies are primary diseases of the nervous system, which secondarily result in denervation of the target musculature. The spectrum of potential causes is manifold ranging from acute traumatic injuries and chronic compression to neurodegenerative, inflammatory, metabolic and neoplastic processes. STANDARD DIAGNOSTIC METHODS: The medical history, clinical neurological examination, and electrophysiological tests including electromyography and nerve conduction studies are crucial in diagnosing neuropathic myopathies...
October 17, 2017: Der Radiologe
https://www.readbyqxmd.com/read/29041245/frequency-constrained-robust-principal-component-analysis-a-sparse-representation-approach-to-segmentation-of-dynamic-features-in-optical-coherence-tomography-imaging
#6
James P McLean, Yuye Ling, Christine P Hendon
Sparse representation theory is an exciting area of research with recent applications in medical imaging and detection, segmentation, and quantitative analysis of biological processes. We present a variant on the robust-principal component analysis (RPCA) algorithm, called frequency constrained RPCA (FC-RPCA), for selectively segmenting dynamic phenomena that exhibit spectra within a user-defined range of frequencies. The algorithm lacks subjective parameter tuning and demonstrates robust segmentation in datasets containing multiple motion sources and high amplitude noise...
October 16, 2017: Optics Express
https://www.readbyqxmd.com/read/29040639/the-medical-science-dmz-a-network-design-pattern-for-data-intensive-medical-science
#7
Sean Peisert, Eli Dart, William Barnett, Edward Balas, James Cuff, Robert L Grossman, Ari Berman, Anurag Shankar, Brian Tierney
Objective: We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. Materials and Methods: High-end networking, packet-filter firewalls, network intrusion-detection systems. Results: We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs...
October 6, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29040453/detection-of-sputum-by-interpreting-the-time-frequency-distribution-of-respiratory-sound-signal-using-image-processing-techniques
#8
Jinglong Niu, Yan Shi, Maolin Cai, Zhixin Cao, Dandan Wang, Zhaozhi Zhang, Xiaohua Douglas Zhang
Motivation: Sputum in the trachea is hard to expectorate and detect directly for the patients who are unconscious, especially those in Intensive Care Unit (ICU). Medical staff should always check the condition of sputum in the trachea. This is time-consuming and the necessary skills are difficult to acquire. Currently, there are few automatic approaches to serve as alternatives to this manual approach. Results: We develop an automatic approach to diagnose the condition of the sputum...
October 13, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29038727/left-ventricular-torsional-parameters-before-and-after-atrial-fibrillation-ablation-a-velocity-vector-imaging-study
#9
Zahra Ojaghi-Haghighi, Bahram Mohebbi, Hasan Moladoust, Majid Haghjoo, Azin Alizadehasl, Maryam Esmaeilzadeh, Sevil Aghapour, Hooman Bakhshandeh, Maryam Ardeshiri, Masoumeh Hamidian
BACKGROUND AND AIM: Effects of atrial fibrillation (AF) and its ablative treatment on LV torsion have not yet been fully investigated. This study aimed to examine whether AF patterns of LV contraction and its ablative correction can exert a significant impact on LV torsion by velocity vector imaging (VVI). METHODS: This case-control study conducted in Rajaie Cardiovascular, Medical and Research Center between October 2012 and June 2013. Study participants were 30 consecutive patients with symptomatic paroxysmal AF who met the inclusion criteria...
September 2017: Electronic Physician
https://www.readbyqxmd.com/read/29038599/widespread-white-matter-microstructural-differences-in-schizophrenia-across-4322-individuals-results-from-the-enigma-schizophrenia-dti-working-group
#10
S Kelly, N Jahanshad, A Zalesky, P Kochunov, I Agartz, C Alloza, O A Andreassen, C Arango, N Banaj, S Bouix, C A Bousman, R M Brouwer, J Bruggemann, J Bustillo, W Cahn, V Calhoun, D Cannon, V Carr, S Catts, J Chen, J-X Chen, X Chen, C Chiapponi, Kl K Cho, V Ciullo, A S Corvin, B Crespo-Facorro, V Cropley, P De Rossi, C M Diaz-Caneja, E W Dickie, S Ehrlich, F-M Fan, J Faskowitz, H Fatouros-Bergman, L Flyckt, J M Ford, J-P Fouche, M Fukunaga, M Gill, D C Glahn, R Gollub, E D Goudzwaard, H Guo, R E Gur, R C Gur, T P Gurholt, R Hashimoto, S N Hatton, F A Henskens, D P Hibar, I B Hickie, L E Hong, J Horacek, F M Howells, H E Hulshoff Pol, C L Hyde, D Isaev, A Jablensky, P R Jansen, J Janssen, E G Jönsson, L A Jung, R S Kahn, Z Kikinis, K Liu, P Klauser, C Knöchel, M Kubicki, J Lagopoulos, C Langen, S Lawrie, R K Lenroot, K O Lim, C Lopez-Jaramillo, A Lyall, V Magnotta, R C W Mandl, D H Mathalon, R W McCarley, S McCarthy-Jones, C McDonald, S McEwen, A McIntosh, T Melicher, R I Mesholam-Gately, P T Michie, B Mowry, B A Mueller, D T Newell, P O'Donnell, V Oertel-Knöchel, L Oestreich, S A Paciga, C Pantelis, O Pasternak, G Pearlson, G R Pellicano, A Pereira, J Pineda Zapata, F Piras, S G Potkin, A Preda, P E Rasser, D R Roalf, R Roiz, A Roos, D Rotenberg, T D Satterthwaite, P Savadjiev, U Schall, R J Scott, M L Seal, L J Seidman, C Shannon Weickert, C D Whelan, M E Shenton, J S Kwon, G Spalletta, F Spaniel, E Sprooten, M Stäblein, D J Stein, S Sundram, Y Tan, S Tan, S Tang, H S Temmingh, L T Westlye, S Tønnesen, D Tordesillas-Gutierrez, N T Doan, J Vaidya, N E M van Haren, C D Vargas, D Vecchio, D Velakoulis, A Voineskos, J Q Voyvodic, Z Wang, P Wan, D Wei, T W Weickert, H Whalley, T White, T J Whitford, J D Wojcik, H Xiang, Z Xie, H Yamamori, F Yang, N Yao, G Zhang, J Zhao, T G M van Erp, J Turner, P M Thompson, G Donohoe
The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across studies, we perform what we believe is the first ever large-scale coordinated study of WM microstructural differences in schizophrenia. Our analysis consisted of 2359 healthy controls and 1963 schizophrenia patients from 29 independent international studies; we harmonized the processing and statistical analyses of diffusion tensor imaging (DTI) data across sites and meta-analyzed effects across studies...
October 17, 2017: Molecular Psychiatry
https://www.readbyqxmd.com/read/29038544/amorphous-lead-oxide-a-pbo-suppression-of-signal-lag-via-engineering-of-the-layer-structure
#11
O Semeniuk, O Grynko, G Juska, A Reznik
Presence of a signal lag is a bottle neck of performance for many non-crystalline materials, considered for dynamic radiation sensing. Due to inadequate lag-related temporal performance, polycrystalline layers of CdZnTe, PbI2, HgI2 and PbO are not practically utilized, despite their superior X-ray sensitivity and low production cost (even for large area detectors). In the current manuscript, we show that a technological step to replace nonhomogeneous disorder in polycrystalline PbO with homogeneous amorphous PbO structure suppresses signal lag and improves time response to X-ray irradiation...
October 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29038384/multimodal-nanoparticle-imaging-agents-design-and-applications
#12
REVIEW
Benjamin P Burke, Christopher Cawthorne, Stephen J Archibald
Molecular imaging, where the location of molecules or nanoscale constructs can be tracked in the body to report on disease or biochemical processes, is rapidly expanding to include combined modality or multimodal imaging. No single imaging technique can offer the optimum combination of properties (e.g. resolution, sensitivity, cost, availability). The rapid technological advances in hardware to scan patients, and software to process and fuse images, are pushing the boundaries of novel medical imaging approaches, and hand-in-hand with this is the requirement for advanced and specific multimodal imaging agents...
November 28, 2017: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/29038377/recent-development-of-nanoparticles-for-molecular-imaging
#13
REVIEW
Jonghoon Kim, Nohyun Lee, Taeghwan Hyeon
Molecular imaging enables us to non-invasively visualize cellular functions and biological processes in living subjects, allowing accurate diagnosis of diseases at early stages. For successful molecular imaging, a suitable contrast agent with high sensitivity is required. To date, various nanoparticles have been developed as contrast agents for medical imaging modalities. In comparison with conventional probes, nanoparticles offer several advantages, including controllable physical properties, facile surface modification and long circulation time...
November 28, 2017: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/29036879/enhancement-of-digital-radiography-image-quality-using-a-convolutional-neural-network
#14
Yuewen Sun, Litao Li, Peng Cong, Zhentao Wang, Xiaojing Guo
Digital radiography system is widely used for noninvasive security check and medical imaging examination. However, the system has a limitation of lower image quality in spatial resolution and signal to noise ratio. In this study, we explored whether the image quality acquired by the digital radiography system can be improved with a modified convolutional neural network to generate high-resolution images with reduced noise from the original low-quality images. The experiment evaluated on a test dataset, which contains 5 X-ray images, showed that the proposed method outperformed the traditional methods (i...
October 10, 2017: Journal of X-ray Science and Technology
https://www.readbyqxmd.com/read/29033865/the-holistic-processing-account-of-visual-expertise-in-medical-image-perception-a-review
#15
REVIEW
Heather Sheridan, Eyal M Reingold
In the field of medical image perception, the holistic processing perspective contends that experts can rapidly extract global information about the image, which can be used to guide their subsequent search of the image (Swensson, 1980; Nodine and Kundel, 1987; Kundel et al., 2007). In this review, we discuss the empirical evidence supporting three different predictions that can be derived from the holistic processing perspective: Expertise in medical image perception is domain-specific, experts use parafoveal and/or peripheral vision to process large regions of the image in parallel, and experts benefit from a rapid initial glimpse of an image...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/29031831/large-scale-retrieval-for-medical-image-analytics-a-comprehensive-review
#16
REVIEW
Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang
Over the past decades, medical image analytics was greatly facilitated by the explosion of digital imaging techniques, where huge amounts of medical images were produced with ever-increasing quality and diversity. However, conventional methods for analyzing medical images have achieved limited success, as they are not capable to tackle the huge amount of image data. In this paper, we review state-of-the-art approaches for large-scale medical image analysis, which are mainly based on recent advances in computer vision, machine learning and information retrieval...
October 2, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/29029890/radiation-therapy-deficiencies-identified-during-on-site-dosimetry-visits-by-the-imaging-and-radiation-oncology-core-houston-quality-assurance-center
#17
Stephen F Kry, Lainy Dromgoole, Paola Alvarez, Jessica Leif, Andrea Molineu, Paige Taylor, David S Followill
PURPOSE: To review the dosimetric, mechanical, and programmatic deficiencies most frequently observed during on-site visits of radiation therapy facilities by the Imaging and Radiation Oncology Core Quality Assurance Center in Houston (IROC Houston). METHODS AND MATERIALS: The findings of IROC Houston between 2000 and 2014, including 409 institutions and 1020 linear accelerators (linacs), were compiled. On-site evaluations by IROC Houston include verification of absolute calibration (tolerance of ±3%), relative dosimetric review (tolerances of ±2% between treatment planning system [TPS] calculation and measurement), mechanical evaluation (including multileaf collimator and kilovoltage-megavoltage isocenter evaluation against Task Group [TG]-142 tolerances), and general programmatic review (including institutional quality assurance program vs TG-40 and TG-142)...
August 24, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/29022090/radiologic-evaluation-of-patients-undergoing-the-modified-appleby-procedure-for-locally-advanced-pancreatic-neoplasms-a-case-series
#18
Merel A T Vergauwen, Michele Perillo, Alejandro Garces-Descovich, Courtney E Barrows, A James Moser, Koenraad J Mortelé
PURPOSE: Despite advances in medical and surgical care, pancreatic ductal adenocarcinoma remains one of the most locally aggressive neoplastic processes in the abdomen. Unfortunately, most pancreatic adenocarcinomas present late and are unresectable at time of diagnosis. The modified Appleby procedure is a surgical option in patients with locally advanced pancreatic neoplasms of the body and tail with vascular invasion of the celiac trunk. To our knowledge, no radiologic journal has previously reported on the pre-operative evaluation or postoperative imaging findings of such patients...
October 11, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/29019747/masses-of-the-nose-nasal-cavity-and-nasopharynx-in-children
#19
Diana P Rodriguez, Emily S Orscheln, Bernadette L Koch
A wide range of masses develop in the nose, nasal cavity, and nasopharynx in children. These lesions may arise from the nasal ala or other structures of the nose, including the mucosa covering any surface of the nasal cavity, the cartilaginous or osseous portion of the nasal septum, the nasal turbinates, and the nasal bones. Lesions may also arise from the nasopharynx or adjacent structures and involve the nose by way of direct extension. The causes of nasal masses in children include congenital and developmental disorders such as congenital nasolacrimal duct mucocele, dermoid cyst, cephalocele, and nasal neuroglial heterotopia; inflammatory and infectious processes such as mucocele, polyp, and pyogenic granuloma; benign neoplasms such as infantile hemangioma and juvenile nasopharyngeal angiofibroma; malignant lesions such as rhabdomyosarcoma and nasopharyngeal carcinoma; and masses related to prior trauma such as septal hematoma...
October 2017: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/29018612/segmentation-and-classification-of-colon-glands-with-deep-convolutional-neural-networks-and-total-variation-regularization
#20
Philipp Kainz, Michael Pfeiffer, Martin Urschler
Segmentation of histopathology sections is a necessary preprocessing step for digital pathology. Due to the large variability of biological tissue, machine learning techniques have shown superior performance over conventional image processing methods. Here we present our deep neural network-based approach for segmentation and classification of glands in tissue of benign and malignant colorectal cancer, which was developed to participate in the GlaS@MICCAI2015 colon gland segmentation challenge. We use two distinct deep convolutional neural networks (CNN) for pixel-wise classification of Hematoxylin-Eosin stained images...
2017: PeerJ
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