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Texture mri

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https://www.readbyqxmd.com/read/28630883/detection-of-prostate-cancer-in-multiparametric-mri-using-random-forest-with-instance-weighting
#1
Nathan Lay, Yohannes Tsehay, Matthew D Greer, Baris Turkbey, Jin Tae Kwak, Peter L Choyke, Peter Pinto, Bradford J Wood, Ronald M Summers
A prostate computer-aided diagnosis (CAD) based on random forest to detect prostate cancer using a combination of spatial, intensity, and texture features extracted from three sequences, T2W, ADC, and B2000 images, is proposed. The random forest training considers instance-level weighting for equal treatment of small and large cancerous lesions as well as small and large prostate backgrounds. Two other approaches, based on an AutoContext pipeline intended to make better use of sequence-specific patterns, were considered...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28624924/evaluation-of-hepatic-fibrosis-a-review-from-the-society-of-abdominal-radiology-disease-focus-panel
#2
REVIEW
Jeanne M Horowitz, Sudhakar K Venkatesh, Richard L Ehman, Kartik Jhaveri, Patrick Kamath, Michael A Ohliger, Anthony E Samir, Alvin C Silva, Bachir Taouli, Michael S Torbenson, Michael L Wells, Benjamin Yeh, Frank H Miller
Hepatic fibrosis is potentially reversible; however early diagnosis is necessary for treatment in order to halt progression to cirrhosis and development of complications including portal hypertension and hepatocellular carcinoma. Morphologic signs of cirrhosis on ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) alone are unreliable and are seen with more advanced disease. Newer imaging techniques to diagnose liver fibrosis are reliable and accurate, and include magnetic resonance elastography and US elastography (one-dimensional transient elastography and point shear wave elastography or acoustic radiation force impulse imaging)...
June 17, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28624024/differentiation-between-acute-and-chronic-myocardial-infarction-by-means-of-texture-analysis-of-late-gadolinium-enhancement-and-cine-cardiac-magnetic-resonance-imaging
#3
Andrés Larroza, Andrzej Materka, María P López-Lereu, José V Monmeneu, Vicente Bodí, David Moratal
The purpose of this study was to differentiate acute from chronic myocardial infarction using machine learning techniques and texture features extracted from cardiac magnetic resonance imaging (MRI). The study group comprised 22 cases with acute myocardial infarction (AMI) and 22 cases with chronic myocardial infarction (CMI). Cine and late gadolinium enhancement (LGE) MRI were analyzed independently to differentiate AMI from CMI. A total of 279 texture features were extracted from predefined regions of interest (ROIs): the infarcted area on LGE MRI, and the entire myocardium on cine MRI...
July 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28622412/textural-analysis-of-early-phase-spatiotemporal-changes-in-contrast-enhancement-of-breast-lesions-imaged-with-an-ultrafast-dce-mri-protocol
#4
Jana Milenković, Mehmet Ufuk Dalmış, Janez Žgajnar, Bram Platel
PURPOSE: New ultrafast view-sharing sequences have enabled breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to be performed at high spatial and temporal resolution. The aim of this study is to evaluate the diagnostic potential of textural features that quantify the spatiotemporal changes of the contrast-agent uptake in computer-aided diagnosis of malignant and benign breast lesions imaged with high spatial and temporal resolution DCE-MRI. METHOD: The proposed approach is based on the textural analysis quantifying the spatial variation of six dynamic features of the early-phase contrast-agent uptake of a lesion's largest cross-sectional area...
June 16, 2017: Medical Physics
https://www.readbyqxmd.com/read/28608163/prostate-specific-membrane-antigen-pet-mri-validation-of-mr-textural-analysis-for-detection-of-transition-zone-prostate-cancer
#5
Anthony Bates, Kenneth Miles
OBJECTIVES: To validate MR textural analysis (MRTA) for detection of transition zone (TZ) prostate cancer through comparison with co-registered prostate-specific membrane antigen (PSMA) PET-MR. METHODS: Retrospective analysis was performed for 30 men who underwent simultaneous PSMA PET-MR imaging for staging of prostate cancer. Thirty texture features were derived from each manually contoured T2-weighted, transaxial, prostatic TZ using texture analysis software that applies a spatial band-pass filter and quantifies texture through histogram analysis...
June 12, 2017: European Radiology
https://www.readbyqxmd.com/read/28599282/optimizing-a-machine-learning-based-glioma-grading-system-using-multi-parametric-mri-histogram-and-texture-features
#6
Xin Zhang, Lin-Feng Yan, Yu-Chuan Hu, Gang Li, Yang Yang, Yu Han, Ying-Zhi Sun, Zhi-Cheng Liu, Qiang Tian, Zi-Yang Han, Le-De Liu, Bin-Quan Hu, Zi-Yu Qiu, Wen Wang, Guang-Bin Cui
Current machine learning techniques provide the opportunity to develop noninvasive and automated glioma grading tools, by utilizing quantitative parameters derived from multi-modal magnetic resonance imaging (MRI) data. However, the efficacies of different machine learning methods in glioma grading have not been investigated.A comprehensive comparison of varied machine learning methods in differentiating low-grade gliomas (LGGs) and high-grade gliomas (HGGs) as well as WHO grade II, III and IV gliomas based on multi-parametric MRI images was proposed in the current study...
May 18, 2017: Oncotarget
https://www.readbyqxmd.com/read/28586896/cortical-sources-of-vernier-acuity-in-the-human-visual-system-an-eeg-source-imaging-study
#7
Chuan Hou, Yee-Joon Kim, Preeti Verghese
Vernier acuity determines the relative position of visual features with a precision better than the sampling resolution of cone receptors in the retina. Because Vernier displacement is thought to be mediated by orientation-tuned mechanisms, Vernier acuity is presumed to be processed in striate visual cortex (V1). However, there is considerable evidence suggesting that Vernier acuity is dependent not only on structures in V1 but also on processing in extrastriate cortical regions. Here we used functional magnetic resonance imaging-informed electroencephalogram source imaging to localize the cortical sources of Vernier acuity in observers with normal vision...
June 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28586353/lack-of-robustness-of-textural-measures-obtained-from-3d-brain-tumor-mris-impose-a-need-for-standardization
#8
David Molina, Julián Pérez-Beteta, Alicia Martínez-González, Juan Martino, Carlos Velasquez, Estanislao Arana, Víctor M Pérez-García
PURPOSE: Textural measures have been widely explored as imaging biomarkers in cancer. However, their robustness under dynamic range and spatial resolution changes in brain 3D magnetic resonance images (MRI) has not been assessed. The aim of this work was to study potential variations of textural measures due to changes in MRI protocols. MATERIALS AND METHODS: Twenty patients harboring glioblastoma with pretreatment 3D T1-weighted MRIs were included in the study...
2017: PloS One
https://www.readbyqxmd.com/read/28582450/spontaneous-low-frequency-bold-signal-variations-from-resting-state-fmri-are-decreased-in-alzheimer-disease
#9
Samaneh Kazemifar, Kathryn Y Manning, Nagalingam Rajakumar, Francisco A Gómez, Andrea Soddu, Michael J Borrie, Ravi S Menon, Robert Bartha
Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative...
2017: PloS One
https://www.readbyqxmd.com/read/28578690/evaluation-of-treatment-response-and-resistance-in-metastatic-renal-cell-cancer-mrcc-using-integrated-18-f-fluorodeoxyglucose-18-f-fdg-positron-emission-tomography-magnetic-resonance-imaging-pet-mri-the-remap-study
#10
Christian Kelly-Morland, Sarah Rudman, Paul Nathan, Susan Mallett, Giovanni Montana, Gary Cook, Vicky Goh
BACKGROUND: Tyrosine kinase inhibitors are the first line standard of care for treatment of metastatic renal cell carcinoma (RCC). Accurate response assessment in the setting of antiangiogenic therapies remains suboptimal as standard size-related response criteria do not necessarily accurately reflect clinical benefit, as they may be less pronounced or occur later in therapy than devascularisation. The challenge for imaging is providing timely assessment of disease status allowing therapies to be tailored to ensure ongoing clinical benefit...
June 2, 2017: BMC Cancer
https://www.readbyqxmd.com/read/28574344/a-framework-for-the-generation-of-realistic-synthetic-cardiac-ultrasound-and-magnetic-resonance-imaging-sequences-from-the-same-virtual-patients
#11
Yitian Zhou, Sophie Giffard-Roisin, Mathieu De Craene, Sorina Camarasu-Pop, Jan D'hooge, Martino Alessandrini, Denis Friboulet, Maxime Sermesant, Olivier Bernard
The use of synthetic sequences is one of the most promising tools for advanced in silico evaluation of the quantification of cardiac deformation and strain through 3D ultrasound (US) and magnetic resonance (MR) imaging. In this paper, we propose the first simulation framework which allows the generation of realistic 3D synthetic cardiac US and MR (both cine and tagging) image sequences from the same virtual patient. A state-of-the-art electromechanical (E/M) model was exploited for simulating groundtruth cardiac motion fields ranging from healthy to various pathological cases including both ventricular dyssynchrony and myocardial ischemia...
May 25, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28556419/association-of-diabetes-mellitus-and-biochemical-knee-cartilage-composition-assessed-by-t2-relaxation-time-measurements-data-from-the-osteoarthritis-initiative
#12
Nattagan Chanchek, Alexandra S Gersing, Benedikt J Schwaiger, Michael C Nevitt, Jan Neumann, Gabby B Joseph, Nancy E Lane, Julia Zarnowski, Felix C Hofmann, Ursula Heilmeier, Charles E McCulloch, Thomas M Link
PURPOSE: To investigate the association of the presence and severity of diabetes mellitus (DM) with articular cartilage composition, using magnetic resonance imaging (MRI)-based T2 relaxation time measurements, and structural knee abnormalities. MATERIALS AND METHODS: In the Osteoarthritis Initiative 208, participants with DM (age 63.0 ± 8.9 years; 111 females) and risk factors for osteoarthritis (OA) or mild radiographic tibiofemoral OA (Kellgren-Lawrence [KL] grade ≤2) were identified and group-matched with 208 controls without DM (age 63...
May 26, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28543071/differentiating-enhancing-multiple-sclerosis-lesions-glioblastoma-and-lymphoma-with-dynamic-texture-parameters-analysis-dtpa-a-feasibility-study
#13
Rajeev K Verma, Roland Wiest, C Locher, Mirjam R Heldner, Phillip Schucht, Andreas Raabe, Jan Gralla, Christian Philipp Kamm, Johannes Slotboom, Frauke Kellner-Weldon
PURPOSE: MR-imaging hallmarks of glioblastoma (GB), cerebral lymphoma (CL), and demyelinating lesions are gadolinium (Gd) uptake due to blood brain barrier disruption. Thus, initial diagnosis may be difficult based on conventional Gd enhanced MRI alone. Here, the added value of a dynamic texture parameter analysis (DTPA) in the differentiation between these three entities is examined. DTPA is an in-house software tool that incorporates the analysis of quantitative texture parameters extracted from dynamic susceptibility contrast enhanced (DSCE) images...
May 19, 2017: Medical Physics
https://www.readbyqxmd.com/read/28541903/alzheimer-s-disease-classification-based-on-individual-hierarchical-networks-constructed-with-3d-texture-features
#14
Jin Liu, Jianxin Wang, Bin Hu, Fang-Xiang Wu, Yi Pan
Brain network plays an important role in representing abnormalities in Alzheimers disease (AD) and mild cognitive impairment (MCI), which includes MCIc (MCI converted to AD) and MCInc (MCI not converted to AD). In our previous study, we proposed an AD classification approach based on individual hierarchical networks constructed with 3D texture features of brain images. However, we only used edge features of the networks without node features of the networks. In this study, we propose a framework of the combination of multiple kernels to combine edge features and node features for AD classification...
May 23, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28535650/-texture-analysis-based-on-contrast-enhanced-mri-can-predict-treatment-response-to-neoadjuvant-chemotherapy-of-breast-cancer
#15
S H Sun, C W Zhou, L Y Zhao, R Z Zhang, H Ouyang
Objective: To investigate whether texture analysis based on contrast-enhanced MRI can predict pathological complete response of locally advanced breast cancer undergoing neoadjuvant chemotherapy(NAC). Methods: Forty-seven patients with breast cancer undergone neoadjuvant chemotherapy from January 2015 to February 2016 were divided into pathological complete response (pCR) group or non-pathological complete response (non-pCR) group based on surgical pathology. Their parameters of texture analysis based on MRI before neoadjuvant chemotherapy and after 2 cycles of treatment were analyzed...
May 23, 2017: Zhonghua Zhong Liu za Zhi [Chinese Journal of Oncology]
https://www.readbyqxmd.com/read/28532709/image-texture-features-predict-renal-function-decline-in-patients-with-autosomal-dominant-polycystic-kidney-disease
#16
Timothy L Kline, Panagiotis Korfiatis, Marie E Edwards, Kyongtae T Bae, Alan Yu, Arlene B Chapman, Michal Mrug, Jared J Grantham, Douglas Landsittel, William M Bennett, Bernard F King, Peter C Harris, Vicente E Torres, Bradley J Erickson
Magnetic resonance imaging (MRI) examinations provide high-resolution information about the anatomic structure of the kidneys and are used to measure total kidney volume (TKV) in patients with Autosomal Dominant Polycystic Kidney Disease (ADPKD). Height-adjusted TKV (HtTKV) has become the gold-standard imaging biomarker for ADPKD progression at early stages of the disease when estimated glomerular filtration rate (eGFR) is still normal. However, HtTKV does not take advantage of the wealth of information provided by MRI...
May 20, 2017: Kidney International
https://www.readbyqxmd.com/read/28526813/radiomic-model-for-predicting-mutations-in-the-isocitrate-dehydrogenase-gene-in-glioblastomas
#17
Kevin Li-Chun Hsieh, Cheng-Yu Chen, Chung-Ming Lo
The present study proposed a computer-aided diagnosis system based on radiomic features extracted through magnetic resonance imaging to determine the isocitrate dehydrogenase status in glioblastomas. Magnetic resonance imaging data were obtained from 32 patients with wild-typeisocitrate dehydrogenase and 7 patients with mutant isocitrate dehydrogenase in glioblastomas. Radiomic features, namely morphological, intensity, and textural features, were extracted from the tumor area of each patient. The feature sets were evaluated using a logistic regression classifier to develop a prediction model...
May 3, 2017: Oncotarget
https://www.readbyqxmd.com/read/28523352/interim-heterogeneity-changes-measured-using-entropy-texture-features-on-t2-weighted-mri-at-3-0%C3%A2-t-are-associated-with-pathological-response-to-neoadjuvant-chemotherapy-in-primary-breast-cancer
#18
Shelley Henderson, Colin Purdie, Caroline Michie, Andrew Evans, Richard Lerski, Marilyn Johnston, Sarah Vinnicombe, Alastair M Thompson
OBJECTIVES: To investigate whether interim changes in hetereogeneity (measured using entropy features) on MRI were associated with pathological residual cancer burden (RCB) at final surgery in patients receiving neoadjuvant chemotherapy (NAC) for primary breast cancer. METHODS: This was a retrospective study of 88 consenting women (age: 30-79 years). Scanning was performed on a 3.0 T MRI scanner prior to NAC (baseline) and after 2-3 cycles of treatment (interim)...
May 18, 2017: European Radiology
https://www.readbyqxmd.com/read/28523317/mri-as-indicator-of-pulmonary-tuberculosis-activity-from-morphological-to-molecular-level-assessment-a-case-report
#19
Maria Teodora Antuaneta Buzan, Hanelore Herta, Mihaela Maria Coman, Daniela Homorodean, Silviu Andrei Sfrângeu, Carmen Monica Pop
We present the case of an adult patient with active post-primary pulmonary tuberculosis (TB) and discuss specific morphological and textural aspects found at high-field magnetic resonance imaging (MRI) of the lung. The 42-year-old man, heavy smoker, undertook a routine employment medical examination and was admitted to a referral pulmonology and TB center due to the abnormal findings seen on his chest radiography. The patient presented nonspecific symptoms, bilateral bronchial breath at pulmonary auscultation, inflammatory syndrome on the laboratory blood tests and positive sputum smears for acid-fast bacilli, which together with the typical aspect on the chest radiography lead to a diagnosis of post-primary pulmonary TB and administration of specific medication...
2017: Romanian Journal of Morphology and Embryology, Revue Roumaine de Morphologie et Embryologie
https://www.readbyqxmd.com/read/28521821/intratumoral-and-peritumoral-radiomics-for-the-pretreatment-prediction-of-pathological-complete-response-to-neoadjuvant-chemotherapy-based-on-breast-dce-mri
#20
Nathaniel M Braman, Maryam Etesami, Prateek Prasanna, Christina Dubchuk, Hannah Gilmore, Pallavi Tiwari, Donna Pletcha, Anant Madabhushi
BACKGROUND: In this study, we evaluated the ability of radiomic textural analysis of intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict pathological complete response (pCR) to neoadjuvant chemotherapy (NAC). METHODS: A total of 117 patients who had received NAC were retrospectively analyzed. Within the intratumoral and peritumoral regions of T1-weighted contrast-enhanced MRI scans, a total of 99 radiomic textural features were computed at multiple phases...
May 18, 2017: Breast Cancer Research: BCR
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