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https://www.readbyqxmd.com/read/29885062/application-of-fractal-dimension-for-quantifying-noise-texture-in-computed-tomography-images
#1
P Khobragade, Jiahua Fan, Franco Rupcich, Dominic J Crotty, Taly Gilat Schmidt
PURPOSE: Evaluation of noise texture information in CT images is important for assessing image quality. Noise texture is often quantified by the noise power spectrum (NPS), which requires numerous image realizations to estimate. This study evaluated fractal dimension for quantifying noise texture as a scalar metric that can potentially be estimated using one image realization. METHODS: The American College of Radiology CT accreditation phantom (ACR) was scanned on a clinical scanner (Discovery CT750, GE Healthcare) at 120 kV and 25 mAs and 90 mAs...
June 9, 2018: Medical Physics
https://www.readbyqxmd.com/read/29869172/the-predictive-value-of-ct-based-radiomics-in-differentiating-indolent-from-invasive-lung-adenocarcinoma-in-patients-with-pulmonary-nodules
#2
Yunlang She, Lei Zhang, Huiyuan Zhu, Chenyang Dai, Dong Xie, Huikang Xie, Wei Zhang, Lilan Zhao, Liling Zou, Ke Fei, Xiwen Sun, Chang Chen
OBJECTIVES: Adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) are assumed to be indolent lung adenocarcinoma with excellent prognosis. We aim to identify these lesions from invasive adenocarcinoma (IA) by a radiomics approach. METHODS: This retrospective study was approved by institutional review board with a waiver of informed consent. Pathologically confirmed lung adenocarcinomas manifested as lung nodules less than 3 cm were retrospectively identified...
June 4, 2018: European Radiology
https://www.readbyqxmd.com/read/29849996/effective-pneumothorax-detection-for-chest-x-ray-images-using-local-binary-pattern-and-support-vector-machine
#3
Yuan-Hao Chan, Yong-Zhi Zeng, Hsien-Chu Wu, Ming-Chi Wu, Hung-Min Sun
Automatic image segmentation and feature analysis can assist doctors in the treatment and diagnosis of diseases more accurately. Automatic medical image segmentation is difficult due to the varying image quality among equipment. In this paper, the automatic method employed image multiscale intensity texture analysis and segmentation to solve this problem. In this paper, firstly, SVM is applied to identify common pneumothorax. Features are extracted from lung images with the LBP (local binary pattern). Then, classification of pneumothorax is determined by SVM...
2018: Journal of Healthcare Engineering
https://www.readbyqxmd.com/read/29802962/in-which-patients-does-lumbar-spine-trabecular-bone-score-tbs-have-the-largest-effect
#4
P Martineau, W D Leslie, H Johansson, N C Harvey, E V McCloskey, D Hans, J A Kanis
BACKGROUND: Lumbar spine TBS, a texture index derived from lumbar spine dual-energy x-ray absorptiometry (DXA) images, enhances fracture prediction. No studies to date have studied a broad range of clinical variables to determine which patients might experience the greatest benefit from the use of TBS. METHODS: Using the Manitoba BMD Registry, we identified 37,176 subjects with baseline DXA, FRAX®-based fracture probability, lumbar spine TBS, and minimum 5 years of observation...
May 23, 2018: Bone
https://www.readbyqxmd.com/read/29790102/classification-of-malignant-and-benign-lung-nodules-using-taxonomic-diversity-index-and-phylogenetic-distance
#5
Robherson Wector de Sousa Costa, Giovanni Lucca França da Silva, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
Lung cancer presents the highest cause of death among patients around the world, in addition of being one of the smallest survival rates after diagnosis. Therefore, this study proposes a methodology for diagnosis of lung nodules in benign and malignant tumors based on image processing and pattern recognition techniques. Mean phylogenetic distance (MPD) and taxonomic diversity index (Δ) were used as texture descriptors. Finally, the genetic algorithm in conjunction with the support vector machine were applied to select the best training model...
May 23, 2018: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29785839/optimization-of-a-secondary-voi-protocol-for-lung-imaging-in-a-clinical-ct-scanner
#6
Thomas C Larsen, Vissagan Gopalakrishnan, Jianhua Yao, Catherine P Nguyen, Marcus Y Chen, Joel Moss, Han Wen
We present a solution to meet an unmet clinical need of an in-situ "close look" at a pulmonary nodule or at the margins of a pulmonary cyst revealed by a primary (screening) chest CT while the patient is still in the scanner. We first evaluated options available on current whole-body CT scanners for high resolution screening scans, including ROI reconstruction of the primary scan data and HRCT, but found them to have insufficient SNR in lung tissue or discontinuous slice coverage. Within the capabilities of current clinical CT systems, we opted for the solution of a secondary, volume-of-interest (VOI) protocol where the radiation dose is focused into a short-beam axial scan at the z position of interest, combined with a small-FOV reconstruction at the xy position of interest...
May 21, 2018: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/29761357/classifying-brain-metastases-by-their-primary-site-of-origin-using-a-radiomics-approach-based-on-texture-analysis-a-feasibility-study
#7
Rafael Ortiz-Ramón, Andrés Larroza, Silvia Ruiz-España, Estanislao Arana, David Moratal
OBJECTIVE: To examine the capability of MRI texture analysis to differentiate the primary site of origin of brain metastases following a radiomics approach. METHODS: Sixty-seven untreated brain metastases (BM) were found in 3D T1-weighted MRI of 38 patients with cancer: 27 from lung cancer, 23 from melanoma and 17 from breast cancer. These lesions were segmented in 2D and 3D to compare the discriminative power of 2D and 3D texture features. The images were quantized using different number of gray-levels to test the influence of quantization...
May 14, 2018: European Radiology
https://www.readbyqxmd.com/read/29758038/novel-high-resolution-computed-tomography-based-radiomic-classifier-for-screen-identified-pulmonary-nodules-in-the-national-lung-screening-trial
#8
Tobias Peikert, Fenghai Duan, Srinivasan Rajagopalan, Ronald A Karwoski, Ryan Clay, Richard A Robb, Ziling Qin, JoRean Sicks, Brian J Bartholmai, Fabien Maldonado
PURPOSE: Optimization of the clinical management of screen-detected lung nodules is needed to avoid unnecessary diagnostic interventions. Herein we demonstrate the potential value of a novel radiomics-based approach for the classification of screen-detected indeterminate nodules. MATERIAL AND METHODS: Independent quantitative variables assessing various radiologic nodule features such as sphericity, flatness, elongation, spiculation, lobulation and curvature were developed from the NLST dataset using 726 indeterminate nodules (all ≥ 7 mm, benign, n = 318 and malignant, n = 408)...
2018: PloS One
https://www.readbyqxmd.com/read/29727280/automated-chest-x-ray-screening-can-lung-region-symmetry-help-detect-pulmonary-abnormalities
#9
K C Santosh, Sameer Antani
Our primary motivator is the need for screening HIV+ populations in resource-constrained regions for exposure to Tuberculosis, using posteroanterior chest radiographs (CXRs). The proposed method is motivated by the observation that radiological examinations routinely conduct bilateral comparisons of the lung field. In addition, the abnormal CXRs tend to exhibit changes in the lung shape, size, and content (textures), and in overall, reflection symmetry between them. We analyze the lung region symmetry using multi-scale shape features, and edge plus texture features...
May 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29719856/image-quality-with-iterative-reconstruction-techniques-in-ct-of-the-lungs-a-phantom-study
#10
Hilde Kjernlie Andersen, David Völgyes, Anne Catrine Trægde Martinsen
Background: Iterative reconstruction techniques for reducing radiation dose and improving image quality in CT have proved to work differently for different patient sizes, dose levels, and anatomical areas. Purpose: This study aims to compare image quality in CT of the lungs between four high-end CT scanners using the recommended reconstruction techniques at different dose levels and patient sizes. Material and methods: A lung phantom and an image quality phantom were scanned with four high-end scanners at fixed dose levels...
2018: European Journal of Radiology Open
https://www.readbyqxmd.com/read/29685079/method-to-characterize-inorganic-particulates-in-lung-tissue-biopsies-using-field-emission-scanning-electron-microscopy
#11
Heather A Lowers, G N Breit, M Strand, R M Pillers, G P Meeker, T I Todorov, G S Plumlee, R E Wolf, M Robinson, J Parr, R Miller, S Groshong, F Green, C Rose
Humans accumulate large numbers of inorganic particles in their lungs over a lifetime. Whether this causes or contributes to debilitating disease over a normal lifespan depends on the type and concentration of the particles. We developed and tested a protocol for in situ characterization of the types and distribution of inorganic particles in biopsied lung tissue from three human groups using field emission scanning electron microscopy (FE-SEM) combined with energy dispersive spectroscopy (EDS). Many distinct particle types were recognized among the 13 000 particles analyzed...
April 23, 2018: Toxicology Mechanisms and Methods
https://www.readbyqxmd.com/read/29667885/radiomics-approach-to-prediction-of-occult-mediastinal-lymph-node-metastasis-of-lung-adenocarcinoma
#12
Yan Zhong, Mei Yuan, Teng Zhang, Yu-Dong Zhang, Hai Li, Tong-Fu Yu
OBJECTIVE: The purpose of this study was to evaluate the prognostic impact of radiomic features from CT scans in predicting occult mediastinal lymph node (LN) metastasis of lung adenocarcinoma. MATERIALS AND METHODS: A total of 492 patients with lung adenocarcinoma who underwent preoperative unenhanced chest CT were enrolled in the study. A total of 300 radiomics features quantifying tumor intensity, texture, and wavelet were extracted from the segmented entire-tumor volume of interest of the primary tumor...
April 18, 2018: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/29662920/assessing-ct-acquisition-parameters-with-visual-search-model-observers
#13
Zohreh Karbaschi, Howard C Gifford
A principal difference between the channelized Hotelling (CH) and visual-search (VS) model observers is how they respond to noise texture in images. We compared the two observers in lesion-detection studies to evaluate linear and angular sampling parameters for CT. Simulated lung images were generated from a single two-dimensional mathematical torso phantom containing circular lesions of fixed radius and relative contrast. Projection datasets were produced for two detector pixel sizes and from 15 to 128 projections at 15 and 65 M counts per set...
April 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29650315/radiomics-based-features-for-pattern-recognition-of-lung-cancer-histopathology-and-metastases
#14
José Raniery Ferreira Junior, Marcel Koenigkam-Santos, Federico Enrique Garcia Cipriano, Alexandre Todorovic Fabro, Paulo Mazzoncini de Azevedo-Marques
BACKGROUND AND OBJECTIVES: lung cancer is the leading cause of cancer-related deaths in the world, and its poor prognosis varies markedly according to tumor staging. Computed tomography (CT) is the imaging modality of choice for lung cancer evaluation, being used for diagnosis and clinical staging. Besides tumor stage, other features, like histopathological subtype, can also add prognostic information. In this work, radiomics-based CT features were used to predict lung cancer histopathology and metastases using machine learning models...
June 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29623375/ability-of-fdg-pet-and-ct-radiomics-features-to-differentiate-between-primary-and-metastatic-lung-lesions
#15
Margarita Kirienko, Luca Cozzi, Alexia Rossi, Emanuele Voulaz, Lidija Antunovic, Antonella Fogliata, Arturo Chiti, Martina Sollini
PURPOSE: To evaluate the ability of CT and PET radiomics features to classify lung lesions as primary or metastatic, and secondly to differentiate histological subtypes of primary lung cancers. METHODS: A cohort of 534 patients with lung lesions were retrospectively studied. Radiomics texture features were extracted using the LIFEx package from semiautomatically segmented PET and CT images. Histology data were recorded in all patients. The patient cohort was divided into a training and a validation group and linear discriminant analysis (LDA) was performed to classify the lesions using both direct and backward stepwise methods...
April 6, 2018: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/29616661/shell-feature-a-new-radiomics-descriptor-for-predicting-distant-failure-after-radiotherapy-in-non-small-cell-lung-cancer-and-cervix-cancer
#16
Hongxia Hao, Zhiguo Zhou, Shulong Li, Genevieve Maquilan, Michael R Folkert, Puneeth Iyengar, Kenneth D Westover, Kevin Albuquerque, Fang Liu, Hak Choy, Robert Timmerman, Lin Yang, Jing Wang
Distant failure is the main cause of human cancer-related mortalities. To develop a model for predicting distant failure in non-small cell lung cancer (NSCLC) and cervix cancer (CC) patients, a shell feature, consisting of outer voxels around the tumor boundary, was constructed using pre-treatment positron emission tomography (PET) images from 48 NSCLC patients received stereotactic body radiation therapy and 52 CC patients underwent external beam radiation therapy and concurrent chemotherapy followed with high-dose-rate intracavitary brachytherapy...
May 2, 2018: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29608508/tumor-heterogeneity-hypoxia-and-immune-markers-in-surgically-resected-non-small-cell-lung-cancer
#17
Angelo Castello, Fabio Grizzi, Luca Toschi, Sabrina Rossi, Daoud Rahal, Federica Marchesi, Carlo Russo, Giovanna Finocchiaro, Egesta Lopci
OBJECTIVES: This study aimed to determine the prognostic role of textural features and their association with metabolic parameters, hypoxia, and cancer-related immune markers in non-small-cell lung cancer (NSCLC) patients. PATIENTS AND METHODS: The trial was registered at http://www.clinicaltrials.gov (NCT02519062). From January 2010 to May 2014, 44 patients (male : female=33 : 11; median age: 69.5 years), referred to our Institution for NSCLC resection, were enrolled...
March 30, 2018: Nuclear Medicine Communications
https://www.readbyqxmd.com/read/29599334/evaluation-of-shape-and-textural-features-from-ct-as-prognostic-biomarkers-in-non-small-cell-lung-cancer
#18
Francesco Bianconi, Mario Luca Fravolini, Raquel Bello-Cerezo, Matteo Minestrini, Michele Scialpi, Barbara Palumbo
BACKGROUND/AIM: We retrospectively investigated the prognostic potential (correlation with overall survival) of 9 shape and 21 textural features from non-contrast-enhanced computed tomography (CT) in patients with non-small-cell lung cancer. MATERIALS AND METHODS: We considered a public dataset of 203 individuals with inoperable, histologically- or cytologically-confirmed NSCLC. Three-dimensional shape and textural features from CT were computed using proprietary code and their prognostic potential evaluated through four different statistical protocols...
April 2018: Anticancer Research
https://www.readbyqxmd.com/read/29571806/pulmonary-nodules-assessing-the-imaging-biomarkers-of-malignancy-in-a-coffee-break
#19
A Talwar, J M Y Willaime, L C Pickup, M Enescu, D Boukerroui, W Hickes, N M Rahman, M J Gooding, T Kadir, F V Gleeson
INTRODUCTION: Although nodule volumetry is a recognized biomarker of malignancy in pulmonary nodules (PNs), caution is needed in its interpretation because of variables such as respiratory volume variation and inter-scan variability of up to 25%. CT Texture Analysis (CTTA) is a potential independent biomarker of malignancy but inter-scan variability and respiratory volume variation has not been assessed. METHODS: In this prospective cohort study, 40 patients (20 with an indeterminate PN and 20 with pulmonary metastases) underwent two LDCTs within a 60-min period (the "Coffee-break") with the aim of assessing the repeatability of CTTA and semi-automated volume measurements...
April 2018: European Journal of Radiology
https://www.readbyqxmd.com/read/29571801/chest-ct-texture-analysis-for-response-assessment-in-systemic-sclerosis
#20
C Kloth, J Henes, T Xenitidis, W M Thaiss, A C Blum, J Fritz, K Nikolaou, M Horger, Sorin Dumitru Ioanoviciu
PURPOSE: To evaluate the role of CT-textural features for monitoring lung involvement in subjects with systemic sclerosis(SSc) undergoing autologous stem cell transplantation(SCT) by comparison with semi-quantitative chest-CT, pulmonary function tests(PFT) and clinical parameters (modified Rodnan skin score[mRSS]). METHODS: In a retrospective single centre analysis, we identified 23 consecutive subjects(11male) with SSc between 07/2005 and 11/2016 that underwent chest CTs before, 6 and 12 months post-SCT...
April 2018: European Journal of Radiology
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