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Texture mri

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https://www.readbyqxmd.com/read/28821786/co-registration-of-ex-vivo-surgical-histopathology-and-in-vivo-t2-weighted-mri-of-the-prostate-via-multi-scale-spectral-embedding-representation
#1
Lin Li, Shivani Pahwa, Gregory Penzias, Mirabela Rusu, Jay Gollamudi, Satish Viswanath, Anant Madabhushi
Multi-modal image co-registration via optimizing mutual information (MI) is based on the assumption that intensity distributions of multi-modal images follow a consistent relationship. However, images with a substantial difference in appearance violate this assumption, thus MI directly based on image intensity alone may be inadequate to drive similarity based co-registration. To address this issue, we introduce a novel approach for multi-modal co-registration called Multi-scale Spectral Embedding Registration (MSERg)...
August 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28816914/congenital-hypotonia-in-toddlerhood
#2
Naomi Steiner, Alcy Torres, Arathi Reddy, Marilyn Augustyn
David is a 22-month-old boy who is new to your practice. He recently moved from a rural area in the Midwest. His father is in the United States Air Force, and his mother works as a full-time homemaker. Their household includes 5 older siblings. The family moves every year because of the father's Air Force placement.David was born full-term in Virginia, with no reported pregnancy complications and no alcohol, tobacco, or drug exposure. He was delivered vaginally, with Apgar scores of 7 and 9, respectively and no respiratory issues...
August 9, 2017: Journal of Developmental and Behavioral Pediatrics: JDBP
https://www.readbyqxmd.com/read/28812015/mri-texture-analysis-of-background-parenchymal-enhancement-of-the-breast
#3
Yasuo Amano, Jun Woo, Maki Amano, Fumi Yanagisawa, Hiroshi Yamamoto, Mayumi Tani
PURPOSE: The purpose of this study was to determine texture parameters reflecting the background parenchymal enhancement (BPE) of the breast, which were acquired using texture analysis (TA). METHODS: We investigated 52 breasts of the 26 subjects who underwent dynamic contrast-enhanced MRI. One experienced reader scored BPE visually (i.e., minimal, mild, moderate, and marked). TA, including 12 texture parameters, was performed to distinguish the BPE scores quantitatively...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28789608/blood-oxygen-level-dependent-magnetic-resonance-imaging-for-detecting-pathological-patterns-in-patients-with-lupus-nephritis-a-preliminary-study-using-gray-level-co-occurrence-matrix-analysis
#4
Huilan Shi, Junya Jia, Dong Li, Li Wei, Wenya Shang, Zhenfeng Zheng
Objective Blood oxygen level-dependent magnetic resonance imaging (BOLD MRI) is a noninvasive technique useful in patients with renal disease. The current study was performed to determine whether BOLD MRI can contribute to the diagnosis of renal pathological patterns. Methods BOLD MRI was used to obtain functional magnetic resonance parameter R2* values. Gray-level co-occurrence matrixes (GLCMs) were generated for gray-scale maps. Several GLCM parameters were calculated and used to construct algorithmic models for renal pathological patterns...
January 1, 2017: Journal of International Medical Research
https://www.readbyqxmd.com/read/28789598/development-of-a-computerized-4-d-mri-phantom-for-liver-motion-study
#5
Chunhao Wang, Fang-Fang Yin, W P Segars, Zheng Chang, Lei Ren
PURPOSE: To develop a 4-dimensional computerized magnetic resonance imaging phantom with image textures extracted from real patient scans for liver motion studies. METHODS: The proposed phantom was developed based on the current version of 4-dimensional extended cardiac-torso computerized phantom and a clinical magnetic resonance scan. Initially, the extended cardiac-torso phantom was voxelized in abdominal-chest region at the end of exhalation phase. Structures/tissues were classified into 4 categories: (1) Seven key textured organs, including liver, gallbladder, spleen, stomach, heart, kidneys, and pancreas, were mapped from a clinical T1-weighted liver magnetic resonance scan using deformable registration...
January 1, 2017: Technology in Cancer Research & Treatment
https://www.readbyqxmd.com/read/28773080/estimation-of-articular-cartilage-surface-roughness-using-gray-level-co-occurrence-matrix-of-laser-speckle-image
#6
Doaa Youssef, Hatem El-Ghandoor, Hamed Kandel, Jala El-Azab, Salah Hassab-Elnaby
The application of He-Ne laser technologies for description of articular cartilage degeneration, one of the most common diseases worldwide, is an innovative usage of these technologies used primarily in material engineering. Plain radiography and magnetic resonance imaging are insufficient to allow the early assessment of the disease. As surface roughness of articular cartilage is an important indicator of articular cartilage degeneration progress, a safe and noncontact technique based on laser speckle image to estimate the surface roughness is provided...
June 28, 2017: Materials
https://www.readbyqxmd.com/read/28769863/application-of-texture-analysis-to-study-small-vessel-disease-and-blood-brain-barrier-integrity
#7
Maria Del C Valdés Hernández, Victor González-Castro, Francesca M Chappell, Eleni Sakka, Stephen Makin, Paul A Armitage, William H Nailon, Joanna M Wardlaw
OBJECTIVES: We evaluate the alternative use of texture analysis for evaluating the role of blood-brain barrier (BBB) in small vessel disease (SVD). METHODS: We used brain magnetic resonance imaging from 204 stroke patients, acquired before and 20 min after intravenous gadolinium administration. We segmented tissues, white matter hyperintensities (WMH) and applied validated visual scores. We measured textural features in all tissues pre- and post-contrast and used ANCOVA to evaluate the effect of SVD indicators on the pre-/post-contrast change, Kruskal-Wallis for significance between patient groups and linear mixed models for pre-/post-contrast variations in cerebrospinal fluid (CSF) with Fazekas scores...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28755054/mri-features-can-predict-egfr-expression-in-lower-grade-gliomas-a-voxel-based-radiomic-analysis
#8
Yiming Li, Xing Liu, Kaibin Xu, Zenghui Qian, Kai Wang, Xing Fan, Shaowu Li, Yinyan Wang, Tao Jiang
OBJECTIVE: To identify the magnetic resonance imaging (MRI) features associated with epidermal growth factor (EGFR) expression level in lower grade gliomas using radiomic analysis. METHODS: 270 lower grade glioma patients with known EGFR expression status were randomly assigned into training (n=200) and validation (n=70) sets, and were subjected to feature extraction. Using a logistic regression model, a signature of MRI features was identified to be predictive of the EGFR expression level in lower grade gliomas in the training set, and the accuracy of prediction was assessed in the validation set...
July 28, 2017: European Radiology
https://www.readbyqxmd.com/read/28739621/lipoma-of-superior-vena-cava-a-rare-occurrence
#9
Ahsan Wahab, Siddique Chaudhary, Ahmad Munir, Susan Jane Smith
Most benign primary cardiac tumours are myxomas; non-myxomatous tumours are less common but comprise a wide variety. Cardiac lipoma is a rare non-myxomatous variety. A 70-year-old Caucasian woman with right breast cancer status postpartial mastectomy underwent surveillance MRI of the breast and was found to have a possible right atrial (RA) mass. She also reported frequent headaches and palpitations. She underwent a transoesophageal echocardiogram which showed a 2.6×1.6×1.6 cm echogenic mass at the superior vena cava (SVC) and RA junction...
July 24, 2017: BMJ Case Reports
https://www.readbyqxmd.com/read/28738798/efficacy-of-sellar-opening-in-the-pituitary-adenoma-resection-of-transsphenoidal-surgery-influences-the-degree-of-tumor-resection
#10
Shousen Wang, Yong Qin, Deyong Xiao, Liangfeng Wei
BACKGROUND: Endonasal transsphenoidal microsurgery is often adopted in the resection of pituitary adenoma, and has showed satisfactory treatment and minor injuries. It is important to accurately localize sellar floor and properly incise the bone and dura matter. METHODS: Fifty-one patients with pituitary adenoma undergoing endonasal transsphenoidal microsurgery were included in the present study. To identify the scope of sellar floor opening, CT scan of the paranasal sinus and MRI scan of the pituitary gland were performed for each subject...
July 24, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28734056/in-vivo-placental-mri-shape-and-textural-features-predict-fetal-growth-restriction-and-postnatal-outcome
#11
Sonia Dahdouh, Nickie Andescavage, Sayali Yewale, Alexa Yarish, Diane Lanham, Dorothy Bulas, Adre J du Plessis, Catherine Limperopoulos
PURPOSE: To investigate the ability of three-dimensional (3D) MRI placental shape and textural features to predict fetal growth restriction (FGR) and birth weight (BW) for both healthy and FGR fetuses. MATERIALS AND METHODS: We recruited two groups of pregnant volunteers between 18 and 39 weeks of gestation; 46 healthy subjects and 34 FGR. Both groups underwent fetal MR imaging on a 1.5 Tesla GE scanner using an eight-channel receiver coil. We acquired T2-weighted images on either the coronal or the axial plane to obtain MR volumes with a slice thickness of either 4 or 8 mm covering the full placenta...
July 22, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28731432/multivariate-approach-for-alzheimer-s-disease-detection-using-stationary-wavelet-entropy-and-predator-prey-particle-swarm-optimization
#12
Yudong Zhang, Shuihua Wang, Yuxiu Sui, Ming Yang, Bin Liu, Hong Cheng, Junding Sun, Wenjuan Jia, Preetha Phillips, Juan Manuel Gorriz
BACKGROUND: The number of patients with Alzheimer's disease is increasing rapidly every year. Scholars often use computer vision and machine learning methods to develop an automatic diagnosis system. OBJECTIVE: In this study, we developed a novel machine learning system that can make diagnoses automatically from brain magnetic resonance images. METHODS: First, the brain imaging was processed, including skull stripping and spatial normalization...
July 17, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28728757/value-of-whole-lesion-apparent-diffusion-coefficient-adc-first-order-statistics-and-texture-features-in-clinical-staging-of-cervical-cancers
#13
Y Guan, W Li, Z Jiang, B Zhang, Y Chen, X Huang, J Zhang, S Liu, J He, Z Zhou, Y Ge
AIM: To explore the value of whole-lesion apparent diffusion coefficient (ADC) first-order statistics and texture features in clinical staging of cervical cancers. MATERIALS AND METHODS: Fifty-six women (mean age, 51 years) with histopathologically confirmed cervical cancers underwent 3 T pelvic magnetic resonance imaging including diffusion-weighted imaging (b=0, 800 s/mm(2)) prospectively. The ADC first-order statistics and texture features derived from the whole volume of cervical cancers were correlated with International Federation of Gynecology and Obstetrics (FIGO) stages (i...
July 18, 2017: Clinical Radiology
https://www.readbyqxmd.com/read/28712700/radiomic-analysis-of-dce-mri-for-prediction-of-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients
#14
Ming Fan, Guolin Wu, Hu Cheng, Juan Zhang, Guoliang Shao, Lihua Li
OBJECTIVES: To enhance the accurate prediction of the response to neoadjuvant chemotherapy (NAC) in breast cancer patients by using a quantitative analysis of dynamic enhancement magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: A dataset of 57 cancer patients with breast DCE-MR images acquired before NAC was used. Among them, 47 patients were Responders, and 10 patients were non-Responders based on the RECIST criteria. The breast regions were segmented on the MR images, and a total of 158 radiomic features were computed to represent the morphologic, dynamic, and the texture of the tumors as well as the background parenchymal features...
June 28, 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28708850/tumor-spatial-heterogeneity-in-myxoid-containing-soft-tissue-using-texture-analysis-of-diffusion-weighted-mri
#15
Hyun Su Kim, Jae-Hun Kim, Young Cheol Yoon, Bong Keun Choe
The objective of this study was to examine the tumor spatial heterogeneity in myxoid-containing soft-tissue tumors (STTs) using texture analysis of diffusion-weighted imaging (DWI). A total of 40 patients with myxoid-containing STTs (23 benign and 17 malignant) were included in this study. The region of interest (ROI) was manually drawn on the apparent diffusion coefficient (ADC) map. For texture analysis, the global (mean, standard deviation, skewness, and kurtosis), regional (intensity variability and size-zone variability), and local features (energy, entropy, correlation, contrast, homogeneity, variance, and maximum probability) were extracted from the ADC map...
2017: PloS One
https://www.readbyqxmd.com/read/28707546/a-computer-aided-diagnosis-cad-scheme-for-pretreatment-prediction-of-pathological-response-to-neoadjuvant-therapy-using-dynamic-contrast-enhanced-mri-texture-features
#16
Valentina Giannini, Simone Mazzetti, Agnese Marmo, Filippo Montemurro, Daniele Regge, Laura Martincich
OBJECTIVES: To assess whether a computer aided diagnosis (CAD) system can predict pathological response (pCR) to neoadjuvant chemotherapy (NAC) prior to treatment using texture features. MATERIALS AND METHODS: Response to treatment of 44 patients was defined according to the histopatology of resected tumour and extracted axillary nodes in two ways: a) pCR+ (Smith's grade=5) vs pCR- (Smith's grade<5); b) pCRN+ (pCR+ and absence of residual lymph node metastases) vs pCRN-...
July 14, 2017: British Journal of Radiology
https://www.readbyqxmd.com/read/28705145/texture-based-classification-of-different-single-liver-lesion-based-on-spair-t2w-mri-images
#17
Zhenjiang Li, Yu Mao, Wei Huang, Hongsheng Li, Jian Zhu, Wanhu Li, Baosheng Li
BACKGROUND: To assess the feasibility of texture analysis (TA) based on spectral attenuated inversion-recovery T2 weighted magnetic resonance imaging (SPAIR T2W-MRI) for the classification of hepatic hemangioma (HH), hepatic metastases (HM) and hepatocellular carcinoma (HCC). METHODS: The SPAIR T2W-MRI data of 162 patients with HH (n=55), HM (n=67) and HCC (n=40) were retrospectively analyzed. We used two independent cohorts for training (n = 112 patients) and validation (n = 50 patients)...
July 13, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28691102/dce-mri-texture-features-for-early-prediction-of-breast-cancer-therapy-response
#18
Guillaume Thibault, Alina Tudorica, Aneela Afzal, Stephen Y-C Chui, Arpana Naik, Megan L Troxell, Kathleen A Kemmer, Karen Y Oh, Nicole Roy, Neda Jafarian, Megan L Holtorf, Wei Huang, Xubo Song
This study investigates the effectiveness of hundreds of texture features extracted from voxel-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parametric maps for early prediction of breast cancer response to neoadjuvant chemotherapy (NAC). In total, 38 patients with breast cancer underwent DCE-MRI before (baseline) and after the first of the 6-8 NAC cycles. Quantitative pharmacokinetic (PK) parameters and semiquantitative metrics were estimated from DCE-MRI time-course data. The residual cancer burden (RCB) index value was computed based on pathological analysis of surgical specimens after NAC completion...
March 2017: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28687979/-radio-oncomics-the-potential-of-radiomics-in-radiation-oncology
#19
Jan Caspar Peeken, Fridtjof Nüsslin, Stephanie E Combs
INTRODUCTION: Radiomics, a recently introduced concept, describes quantitative computerized algorithm-based feature extraction from imaging data including computer tomography (CT), magnetic resonance imaging (MRT), or positron-emission tomography (PET) images. For radiation oncology it offers the potential to significantly influence clinical decision-making and thus therapy planning and follow-up workflow. METHODS: After image acquisition, image preprocessing, and defining regions of interest by structure segmentation, algorithms are applied to calculate shape, intensity, texture, and multiscale filter features...
July 7, 2017: Strahlentherapie und Onkologie: Organ der Deutschen Röntgengesellschaft ... [et Al]
https://www.readbyqxmd.com/read/28680910/compressed-sensing-magnetic-resonance-imaging-based-on-shearlet-sparsity-and-nonlocal-total-variation
#20
Ali Pour Yazdanpanah, Emma E Regentova
Compressed sensing (CS) has been utilized for acceleration of data acquisition in magnetic resonance imaging (MRI). MR images can then be reconstructed with an undersampling rate significantly lower than that required by the Nyquist sampling criterion. However, the CS usually produces images with artifacts, especially at high reduction rates. We propose a CS MRI method called shearlet sparsity and nonlocal total variation (SS-NLTV) that exploits SS-NLTV regularization. The shearlet transform is an optimal sparsifying transform with excellent directional sensitivity compared with that by wavelet transform...
April 2017: Journal of Medical Imaging
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