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https://www.readbyqxmd.com/read/28090604/xq-nlm-denoising-diffusion-mri-data-via-x-q-space-non-local-patch-matching
#1
Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap
Noise is a major issue influencing quantitative analysis in diffusion MRI. The effects of noise can be reduced by repeated acquisitions, but this leads to long acquisition times that can be unrealistic in clinical settings. For this reason, post-acquisition denoising methods have been widely used to improve SNR. Among existing methods, non-local means (NLM) has been shown to produce good image quality with edge preservation. However, currently the application of NLM to diffusion MRI has been mostly focused on the spatial space (i...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28090600/learning-based-3t-brain-mri-segmentation-with-guidance-from-7t-mri-labeling
#2
Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen
Brain magnetic resonance image segmentation is one of the most important tasks in medical image analysis and has considerable importance to the effective use of medical imagery in clinical and surgical setting. In particular, the tissue segmentation of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain measurement and disease diagnosis. A variety of studies have shown that the learning-based techniques are efficient and effective in brain tissue segmentation. However, the learning-based segmentation methods depend largely on the availability of good training labels...
October 2016: Machine Learning in Medical Imaging
https://www.readbyqxmd.com/read/28070568/construction-of-neonatal-diffusion-atlases-via-spatio-angular-consistency
#3
Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen
Atlases constructed using diffusion-weighted imaging (DWI) are important tools for studying human brain development. Atlas construction is in general a two-step process involving image registration and image fusion. The focus of most studies so far has been on improving registration thus image fusion is commonly performed using simple averaging, often resulting in fuzzy atlases. In this paper, we propose a patch-based method for DWI atlas construction. Unlike other atlases that are based on the diffusion tensor model, our atlas is model-free...
October 2016: Patch Based Tech Med Imaging (2016)
https://www.readbyqxmd.com/read/28066844/tight-graph-framelets-for-sparse-diffusion-mri-q-space-representation
#4
Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen
In diffusion MRI, the outcome of estimation problems can often be improved by taking into account the correlation of diffusion-weighted images scanned with neighboring wavevectors in q-space. For this purpose, we propose in this paper to employ tight wavelet frames constructed on non-flat domains for multi-scale sparse representation of diffusion signals. This representation is well suited for signals sampled regularly or irregularly, such as on a grid or on multiple shells, in q-space. Using spectral graph theory, the frames are constructed based on quasi-affine systems (i...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28066842/diagnosis-of-alzheimer-s-disease-using-view-aligned-hypergraph-learning-with-incomplete-multi-modality-data
#5
Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is still an area of active research. Several multi-view learning methods have recently been developed to deal with missing data, with each view corresponding to a specific modality or a combination of several modalities. However, existing methods usually ignore the underlying coherence among views, which may lead to suboptimal learning performance. In this paper, we propose a view-aligned hypergraph learning (VAHL) method to explicitly model the coherence among the views...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28059029/validation-of-the-continuous-tracking-paradigm-for-studying-implicit-motor-learning
#6
Stefan Künzell, Dominicus Sießmeir, Harald Ewolds
A continuous pursuit-tracking task is the typical experimental paradigm to investigate implicit motor learning. Implicit motor learning is proven by a greater improvement in tracking of a repeated segment of a target path compared to random segments ( Pew, 1974 ). Recently, doubts about the validity of results obtained with this paradigm have been raised. Improved tracking of a repeated segment might simply be due to the characteristics of that particular segment. In response to these doubts, we seek to improve the continuous tracking task...
November 2016: Experimental Psychology
https://www.readbyqxmd.com/read/28058732/bromocriptine-treatment-at-the-end-of-lactation-prevents-hyperphagia-higher-visceral-fat-and-liver-triglycerides-in-early-weaned-rats-at-adulthood
#7
Nayara Peixoto-Silva, Egberto G Moura, Janaine C Carvalho, Jéssica L Nobre, Fernanda T Quitete, Cintia R Pinheiro, Ana Paula Santos-Silva, Elaine de Oliveira, Patricia C Lisboa
Non-pharmacological early weaning (NPEW) leads offspring to obesity, higher liver oxidative stress and microsteatosis in adulthood. Pharmacological EW (PEW) by maternal treatment with bromocriptine (BRO) causes obesity in the adult progeny but precludes hepatic injury. To test the hypothesis that BRO prevents the deleterious changes of NPEW, we injected BRO into the pups from the NPEW model on late lactation. Lactating rats were divided into 2 groups: dams with an adhesive bandage around the body to prevent breastfeeding on the last 3 days of lactation and dams whose pups had free suckling (C)...
January 6, 2017: Clinical and Experimental Pharmacology & Physiology
https://www.readbyqxmd.com/read/28057565/development-and-validation-of-a-continuously-age-adjusted-measure-of-patient-condition-for-hospitalized-children-using-the-electronic-medical-record
#8
Michael J Rothman, Joseph J Tepas, Andrew J Nowalk, James E Levin, Joan M Rimar, Albert Marchetti, Allen L Hsiao
Awareness of a patient's clinical status during hospitalization is a primary responsibility for hospital providers. One tool to assess status is the Rothman Index (RI), a validated measure of patient condition for adults, based on empirically derived relationships between 1-year post-discharge mortality and each of 26 clinical measurements available in the electronic medical record. However, such an approach cannot be used for pediatrics, where the relationships between risk and clinical variables are distinct functions of patient age, and sufficient 1-year mortality data for each age group simply does not exist...
January 2, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28054724/learning-based-3t-brain-mri-segmentation-with-guidance-from-7t-mri-labeling
#9
Minghui Deng, Renping Yu, Li Wang, Feng Shi, Pew-Thian Yap, Dinggang Shen
PURPOSE: Segmentation of brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain structural measurement and disease diagnosis. Learning-based segmentation methods depend largely on the availability of good training ground truth. However, the commonly used 3T MR images are of insufficient image quality and often exhibit poor intensity contrast between WM, GM, and CSF. Therefore, they are not ideal for providing good ground truth label data for training learning-based methods...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/28049236/nutritional-status-in-adults-with-predialysis-chronic-kidney-disease-know-ckd-study
#10
Young Youl Hyun, Kyu Beck Lee, Seung Hyeok Han, Yeong Hoon Kim, Yong Soo Kim, Sung Woo Lee, Yun Kyu Oh, Dong Wan Chae, Curie Ahn
Adverse changes in nutrition are prevalent and are strong indicators of adverse outcomes in patients with chronic kidney disease (CKD). The International Society of Renal Nutrition and Metabolism (ISRNM) proposed a common nomenclature and diagnostic criteria to identify protein-energy wasting (PEW) in CKD patients. We examined the nutritional status in 1,834 adults with predialysis CKD enrolled in the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD) study. As there was a need for further understanding of nutritional status and associated factors in CKD, we evaluated the prevalence and associated factors of PEW in adults with predialysis CKD...
February 2017: Journal of Korean Medical Science
https://www.readbyqxmd.com/read/27974868/sr-hardi-spatially-regularizing-high-angular-resolution-diffusion-imaging
#11
Shangbang Rao, Joseph G Ibrahim, Jian Cheng, Pew-Thian Yap, Hongtu Zhu
High angular resolution diffusion imaging (HARDI) has recently been of great interest in mapping the orientation of intra-voxel crossing fibers, and such orientation information allows one to infer the connectivity patterns prevalent among different brain regions and possible changes in such connectivity over time for various neurodegenerative and neuropsychiatric diseases. The aim of this paper is to propose a penalized multi-scale adaptive regression model (PMARM) framework to spatially and adaptively infer the orientation distribution function (ODF) of water diffusion in regions with complex fiber configurations...
2016: Journal of Computational and Graphical Statistics
https://www.readbyqxmd.com/read/27931723/psoas-muscle-area-as-a-predictor-of-outcomes-in-transcatheter-aortic-valve-implantation
#12
Lohit Garg, Sahil Agrawal, Timothy Pew, George S Hanzel, Amr E Abbas, Michael J Gallagher, Francis L Shannon, Ivan D Hanson
Frailty is a powerful predictor of outcomes after transcatheter aortic valve implantation (TAVI). Sarcopenia as assessed by psoas muscle area (PMA) is a validated tool to assess frailty before surgical procedures. We evaluated PMA as a predictor of outcomes after TAVI in 152 consecutive patients who underwent this procedure at our institution from 2011 to 2014. Preoperative computed tomography scans were used to measure PMA, which then was indexed to body surface area. Outcomes evaluated included (1) early poor outcome (30 days mortality, stroke, dialysis, and prolonged ventilation), (2) 1-year mortality, and (3) high-resource utilization (length of stay >7 days, discharge to rehabilitation, or readmission within 30 days)...
February 1, 2017: American Journal of Cardiology
https://www.readbyqxmd.com/read/27920943/a-pilot-dental-survey-on-maui
#13
Olivia Jenkins, Sara Routley, Tina Pedro-Gomes, Lorrin Pang
Routine dental screening surveys of third graders have proven to be a useful tool to monitor the dental health of a community, especially those of highest risk. In 2010 the PEW Charitable Trust (PEW) conducted state-by-state oral hygiene assessments, giving Hawai'i a poor grade, with routine dental surveys of children one of several criteria not met. The Maui Oral Health Task Force piloted its own survey for the island of Maui to assess the challenges in implementing a dental screening and to gain an understanding as to how obstacles might be addressed...
November 2016: Hawai'i Journal of Medicine & Public Health: a Journal of Asia Pacific Medicine & Public Health
https://www.readbyqxmd.com/read/27908163/learning-based-3t-brain-mri-segmentation-with-guidance-from-7t-mri-labeling
#14
Minghui Deng, Renping Yu, Li Wang, Feng Shi, Pew-Thian Yap, Dinggang Shen
PURPOSE: Segmentation of brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain structural measurement and disease diagnosis. Learning-based segmentation methods depend largely on the availability of good training ground truth. However, the commonly used 3T MR images are of insufficient image quality and often exhibit poor intensity contrast between WM, GM, and CSF. Therefore, they are not ideal for providing good ground truth label data for training learning-based methods...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27898305/view-aligned-hypergraph-learning-for-alzheimer-s-disease-diagnosis-with-incomplete-multi-modality-data
#15
Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
Effectively utilizing incomplete multi-modality data for the diagnosis of Alzheimer's disease (AD) and its prodrome (i.e., mild cognitive impairment, MCI) remains an active area of research. Several multi-view learning methods have been recently developed for AD/MCI diagnosis by using incomplete multi-modality data, with each view corresponding to a specific modality or a combination of several modalities. However, existing methods usually ignore the underlying coherence among views, which may lead to sub-optimal learning performance...
February 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/27892534/improving-estimation-of-fiber-orientations-in-diffusion-mri-using-inter-subject-information-sharing
#16
Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap
Diffusion magnetic resonance imaging is widely used to investigate diffusion patterns of water molecules in the human brain. It provides information that is useful for tracing axonal bundles and inferring brain connectivity. Diffusion axonal tracing, namely tractography, relies on local directional information provided by the orientation distribution functions (ODFs) estimated at each voxel. To accurately estimate ODFs, data of good signal-to-noise ratio and sufficient angular samples are desired. This is however not always available in practice...
November 28, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27870908/n-terminal-pro-b-type-natriuretic-peptide-as-a-biomarker-for-loss-of-muscle-mass-in-prevalent-hemodialysis-patients
#17
Misa Ikeda, Hirokazu Honda, Keiko Takahashi, Kanji Shishido, Takanori Shibata
Protein-energy wasting (PEW) is common in hemodialysis (HD) patients. A recent study demonstrated that a high level of N-terminal pro-B-type natriuretic peptide (NT-proBNP) may be associated with PEW in those patients. This prospective study aimed to assess the association of NT-proBNP with body composition and muscle loss. A cohort of prevalent HD patients (n = 238) was examined. Blood samples were obtained at baseline to measure high-sensitive C-reactive protein (hsCRP), interleukin-6 (IL-6), adiponectin and NT-proBNP...
2016: PloS One
https://www.readbyqxmd.com/read/27852827/cell-scientist-to-watch-sabine-petry
#18
(no author information available yet)
Originally from Germany, Sabine Petry received her Diploma (MSc) from Goethe University in Frankfurt and undertook her Master's thesis at the Max Planck Institute of Biophysics. She then moved to the UK to pursue a PhD under the supervision of Venki Ramakrishnan at the MRC Laboratory of Molecular Biology in Cambridge. In 2008, Sabine started her postdoctoral work in the laboratory of Ron Vale at the University of California, San Francisco as an EMBO fellow and then an HHMI postdoctoral fellow of the Life Science Research Foundation...
November 15, 2016: Journal of Cell Science
https://www.readbyqxmd.com/read/27823915/validation-of-the-children-s-hospital-early-warning-system-for-critical-deterioration-recognition
#19
Mary C McLellan, Kimberlee Gauvreau, Jean Anne Connor
OBJECTIVE: Early warning scores, such as the Children's Hospital Early Warning Score (CHEWS), are used by hospitals to identify patients at risk for critical deterioration and trigger clinicians to intervene and prevent further deterioration. This study's objectives were to validate the CHEWS and to compare the CHEWS to the previously validated Brighton Pediatric Early Warning Score (PEWS) for early detection of critical deterioration in hospitalized, non-cardiac patients at a pediatric hospital...
November 4, 2016: Journal of Pediatric Nursing
https://www.readbyqxmd.com/read/27777944/phytochemical-screening-and-antinociceptive-and-antidiarrheal-activities-of-hydromethanol-and-petroleum-benzene-extract-of-microcos-paniculata-barks
#20
Rafath Ara Moushome, Mst Irin Akter, Md Abdullah Aziz
Introduction. Microcos paniculata is traditionally used for treating diarrhea, wounds, cold, fever, hepatitis, dyspepsia, and heat stroke. Objective. To investigate the qualitative phytochemical constituents of hydromethanol (HMPB) and petroleum benzene extract of Microcos paniculata barks (PBMPB) and to evaluate their antinociceptive and antidiarrheal activities. Methods. Phytochemical constituents and antinociceptive and antidiarrheal activities were determined and evaluated by different tests such as Molisch's, Fehling's, Mayer's, Wagner's, Dragendorff's, frothing, FeCl3, alkali, Pew's, and Salkowski's test, general test of glycosides, Baljet and NH4OH test, formalin-induced paw licking, acetic acid-induced writhing, tail immersion, and hot plate tests, and castor oil and MgSO4 induced diarrheal tests...
2016: BioMed Research International
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