keyword
MENU ▼
Read by QxMD icon Read
search

CT lung texture

keyword
https://www.readbyqxmd.com/read/27875217/automatic-scoring-of-multiple-semantic-attributes-with-multi-task-feature-leverage-a-study-on-pulmonary-nodules-in-ct-images
#1
Sihong Chen, Jing Qin, Xing Ji, Baiying Lei, Tianfu Wang, Dong Ni, Jie-Zhi Cheng
The gap between the computational and semantic features is the one of major factors that bottlenecks the computer-aided diagnosis (CAD) performance from clinical usage. To bridge this gap, we exploit three multi-task learning (MTL) schemes to leverage heterogeneous computational features derived from deep learning models of stacked denoising autoencoder (SDAE) and convolutional neural network (CNN), as well as hand-crafted Haar-like and HoG features, for the description of 9 semantic features for lung nodules in CT images...
November 16, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/27765856/reliability-of-pet-ct-shape-and-heterogeneity-features-in-functional-and-morphological-components-of-non-small-cell-lung-cancer-tumors-a-repeatability-analysis-in-a-prospective-multi-center-cohort
#2
Marie-Charlotte Desseroit, Florent Tixier, Wolfgang Andreas Weber, Barry Alan Siegel, Catherine Cheze Le Rest, Dimitris Visvikis, Mathieu Hatt
PURPOSE: The main purpose of this study was to assess the reliability of shape and heterogeneity features in both PET and low-dose CT components of PET/CT. A secondary objective was to investigate the impact of image quantization. MATERIAL AND METHODS: A HIPAA-compliant secondary analysis of deidentified prospectively acquired PET/CT test-retest datasets of 74 patients from multi-center Merck and ACRIN trials was performed. Metabolically active volumes were automatically delineated on PET with Fuzzy Locally Adaptive Bayesian (FLAB) algorithm...
October 20, 2016: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
https://www.readbyqxmd.com/read/27740476/a-3-d-riesz-covariance-texture-model-for-prediction-of-nodule-recurrence-in-lung-ct
#3
Pol Cirujeda, Yashin Dicente Cid, Henning Muller, Daniel Rubin, Todd A Aguilera, Billy W Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge
This paper proposes a novel imaging biomarker of lung cancer relapse from 3-D texture analysis of CT images. Three-dimensional morphological nodular tissue properties are described in terms of 3-D Riesz-wavelets. The responses of the latter are aggregated within nodular regions by means of feature covariances, which leverage rich intra- and inter- variations of the feature space dimensions. When compared to the classical use of the average for feature aggregation, feature covariances preserve spatial co-variations between features...
July 18, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/27736888/a-study-on-the-basic-criteria-for-selecting-heterogeneity-parameters-of-f18-fdg-pet-images
#4
Attila Forgacs, Hermann Pall Jonsson, Magnus Dahlbom, Freddie Daver, Matthew D DiFranco, Gabor Opposits, Aron K Krizsan, Ildiko Garai, Johannes Czernin, Jozsef Varga, Lajos Tron, Laszlo Balkay
Textural analysis might give new insights into the quantitative characterization of metabolically active tumors. More than thirty textural parameters have been investigated in former F18-FDG studies already. The purpose of the paper is to declare basic requirements as a selection strategy to identify the most appropriate heterogeneity parameters to measure textural features. Our predefined requirements were: a reliable heterogeneity parameter has to be volume independent, reproducible, and suitable for expressing quantitatively the degree of heterogeneity...
2016: PloS One
https://www.readbyqxmd.com/read/27678255/content-based-image-retrieval-system-for-pulmonary-nodules-assisting-radiologists-in-self-learning-and-diagnosis-of-lung-cancer
#5
Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, Niranjan Khandelwal
Visual information of similar nodules could assist the budding radiologists in self-learning. This paper presents a content-based image retrieval (CBIR) system for pulmonary nodules, observed in lung CT images. The reported CBIR systems of pulmonary nodules cannot be put into practice as radiologists need to draw the boundary of nodules during query formation and feature database creation. In the proposed retrieval system, the pulmonary nodules are segmented using a semi-automated technique, which requires a seed point on the nodule from the end-user...
September 27, 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/27674684/texture-features-of-kilovolt-cone-beam-ct-kvcbct-during-stereotactic-body-radiation-therapy-sbrt-for-stage-i-non-small-cell-lung-cancer-nsclc-highlight-differences-between-nonrecurrent-and-recurrent-patients
#6
J O Letham, B S Erdal, X Mo, S Salamekh, A Ayan, T M Williams, K E Haglund, L M Prevedello, J G Bazan, R D White, M X Welliver
No abstract text is available yet for this article.
October 1, 2016: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/27575837/texture-based-quantification-of-centrilobular-emphysema-and-centrilobular-nodularity-in-longitudinal-ct-scans-of-current-and-former-smokers
#7
Shoshana B Ginsburg, Jason Zhao, Stephen Humphries, Sungshick Jou, Kunihiro Yagihashi, David A Lynch, Joyce D Schroeder
RATIONALE AND OBJECTIVES: The effect of smoking cessation on centrilobular emphysema (CLE) and centrilobular nodularity (CN), two manifestations of smoking-related lung injury on computed tomography (CT) images, has not been clarified. The objective of this study is to leverage texture analysis to investigate differences in extent of CLE and CN between current and former smokers. MATERIALS AND METHODS: Chest CT scans from 350 current smokers, 401 former smokers, and 25 control subjects were obtained from the multicenter COPDGene Study, a Health Insurance Portability and Accountability Act-compliant study approved by the institutional review board of each participating clinical study center...
November 2016: Academic Radiology
https://www.readbyqxmd.com/read/27504795/temporal-changes-of-texture-features-extracted-from-pulmonary-nodules-on-dynamic-contrast-enhanced-chest-computed-tomography-how-influential-is-the-scan-delay
#8
Hyungjin Kim, Chang Min Park, Sang Joon Park, Yong Sub Song, Jong Hyuk Lee, Eui Jin Hwang, Jin Mo Goo
OBJECTIVES: The aim of this study was to describe the temporal changes of various texture features extracted from pulmonary nodules on dynamic contrast-enhanced computed tomography (DCE-CT) and to compare the feature values among multiple scanning time points. We also aimed to analyze the variability of texture features across multiple scan delay times. MATERIALS AND METHODS: This retrospective study was approved by the institutional review board of Seoul National University Hospital with waiver of patients' informed consent...
September 2016: Investigative Radiology
https://www.readbyqxmd.com/read/27487903/variability-in-ct-lung-nodule-quantification-effects-of-dose-reduction-and-reconstruction-methods-on-density-and-texture-based-features
#9
P Lo, S Young, H J Kim, M S Brown, M F McNitt-Gray
PURPOSE: To investigate the effects of dose level and reconstruction method on density and texture based features computed from CT lung nodules. METHODS: This study had two major components. In the first component, a uniform water phantom was scanned at three dose levels and images were reconstructed using four conventional filtered backprojection (FBP) and four iterative reconstruction (IR) methods for a total of 24 different combinations of acquisition and reconstruction conditions...
August 2016: Medical Physics
https://www.readbyqxmd.com/read/27440183/cloud-based-nosql-open-database-of-pulmonary-nodules-for-computer-aided-lung-cancer-diagnosis-and-reproducible-research
#10
José Raniery Ferreira Junior, Marcelo Costa Oliveira, Paulo Mazzoncini de Azevedo-Marques
Lung cancer is the leading cause of cancer-related deaths in the world, and its main manifestation is pulmonary nodules. Detection and classification of pulmonary nodules are challenging tasks that must be done by qualified specialists, but image interpretation errors make those tasks difficult. In order to aid radiologists on those hard tasks, it is important to integrate the computer-based tools with the lesion detection, pathology diagnosis, and image interpretation processes. However, computer-aided diagnosis research faces the problem of not having enough shared medical reference data for the development, testing, and evaluation of computational methods for diagnosis...
December 2016: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/27436568/semi-automatic-classification-of-textures-in-thoracic-ct-scans
#11
Thessa T J P Kockelkorn, Pim A de Jong, Cornelia M Schaefer-Prokop, Rianne Wittenberg, Audrey M Tiehuis, Hester A Gietema, Jan C Grutters, Max A Viergever, Bram van Ginneken
The textural patterns in the lung parenchyma, as visible on computed tomography (CT) scans, are essential to make a correct diagnosis in interstitial lung disease. We developed one automatic and two interactive protocols for classification of normal and seven types of abnormal lung textures. Lungs were segmented and subdivided into volumes of interest (VOIs) with homogeneous texture using a clustering approach. In the automatic protocol, VOIs were classified automatically by an extra-trees classifier that was trained using annotations of VOIs from other CT scans...
August 21, 2016: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/27429433/a-3-d-riesz-covariance-texture-model-for-prediction-of-nodule-recurrence-in-lung-ct
#12
Pol Cirujeda, Yashin Cid, Henning Muller, Daniel Rubin, Todd Aguilera, Billy Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge
This paper proposes a novel imaging biomarker of lung cancer relapse from 3-D texture analysis of CT images. Three-dimensional morphological nodular tissue properties are described in terms of 3-D Riesz-wavelets. The responses of the latter are aggregated within nodular regions by means of feature covariances, which leverage rich intra- and inter- variations of the feature space dimensions. When compared to the classical use of the average for feature aggregation, feature covariances preserve spatial co-variations between features...
July 18, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/27370151/mediastinal-lymph-node-detection-and-station-mapping-on-chest-ct-using-spatial-priors-and-random-forest
#13
Jiamin Liu, Joanne Hoffman, Jocelyn Zhao, Jianhua Yao, Le Lu, Lauren Kim, Evrim B Turkbey, Ronald M Summers
PURPOSE: To develop an automated system for mediastinal lymph node detection and station mapping for chest CT. METHODS: The contextual organs, trachea, lungs, and spine are first automatically identified to locate the region of interest (ROI) (mediastinum). The authors employ shape features derived from Hessian analysis, local object scale, and circular transformation that are computed per voxel in the ROI. Eight more anatomical structures are simultaneously segmented by multiatlas label fusion...
July 2016: Medical Physics
https://www.readbyqxmd.com/read/27325312/-18-f-fdg-pet-ct-heterogeneity-quantification-through-textural-features-in-the-era-of-harmonisation-programs-a-focus-on-lung-cancer
#14
Charline Lasnon, Mohamed Majdoub, Brice Lavigne, Pascal Do, Jeannick Madelaine, Dimitris Visvikis, Mathieu Hatt, Nicolas Aide
PURPOSE: Quantification of tumour heterogeneity in PET images has recently gained interest, but has been shown to be dependent on image reconstruction. This study aimed to evaluate the impact of the EANM/EARL accreditation program on selected (18)F-FDG heterogeneity metrics. METHODS: To carry out our study, we prospectively analysed 71 tumours in 60 biopsy-proven lung cancer patient acquisitions reconstructed with unfiltered point spread function (PSF) positron emission tomography (PET) images (optimised for diagnostic purposes), PSF-reconstructed images with a 7-mm Gaussian filter (PSF7) chosen to meet European Association of Nuclear Medicine (EANM) 1...
December 2016: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/27322376/early-change-in-metabolic-tumor-heterogeneity-during-chemoradiotherapy-and-its-prognostic-value-for-patients-with-locally-advanced-non-small-cell-lung-cancer
#15
Xinzhe Dong, Xiaorong Sun, Lu Sun, Peter G Maxim, Lei Xing, Yong Huang, Wenwu Li, Honglin Wan, Xianguang Zhao, Ligang Xing, Jinming Yu
INTRODUCTION: To observe the early change of metabolic tumor heterogeneity during chemoradiotherapy and to determine its prognostic value for patients with locally advanced non-small cell lung cancer (NSCLC). METHODS: From January 2007 to March 2010, 58 patients with NSCLC were included who were received 18F-fluorodeoxyglucose (18F-FDG) PET/CT before and following 40 Gy radiotherapy with the concurrent cisplatin-based chemotherapy (CCRT). Primary tumor FDG uptake heterogeneity was determined using global and local scale textural features extracted from standardized uptake value (SUV) histogram analysis (coefficient of variation [COV], skewness, kurtosis, area under the curve of the cumulative SUV histogram [AUC-CSH]) and normalized gray-level co-occurrence matrix (contrast, dissimilarity, entropy, homogeneity)...
2016: PloS One
https://www.readbyqxmd.com/read/27305342/imaging-heterogeneity-in-lung-cancer-techniques-applications-and-challenges
#16
Usman Bashir, Muhammad Musib Siddique, Emma Mclean, Vicky Goh, Gary J Cook
OBJECTIVE: Texture analysis involves the mathematic processing of medical images to derive sets of numeric quantities that measure heterogeneity. Studies on lung cancer have shown that texture analysis may have a role in characterizing tumors and predicting patient outcome. This article outlines the mathematic basis of and the most recent literature on texture analysis in lung cancer imaging. We also describe the challenges facing the clinical implementation of texture analysis. CONCLUSION: Texture analysis of lung cancer images has been applied successfully to FDG PET and CT scans...
September 2016: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/27299354/lung-cancer-detection-using-fuzzy-auto-seed-cluster-means-morphological-segmentation-and-svm-classifier
#17
T Manikandan, N Bharathi
An effective fuzzy auto-seed cluster means morphological algorithm developed in this work to segment the lung nodules from the consecutive slices of Computer Tomography (CT) images to detect the lung cancer. The initial cluster values were chosen automatically by averaging the minimum and maximum pixel values in each row of an image. The area and eccentricity features were used to eliminate the line like structure and very tiny clusters less than 3 mm in size. The change in centroid analysis was carried out to eliminate the blood vessels...
July 2016: Journal of Medical Systems
https://www.readbyqxmd.com/read/27167273/evaluation-of-the-tool-reg-refine-for-user-guided-deformable-image-registration
#18
Perry B Johnson, Kyle R Padgett, Kuan L Chen, Nesrin Dogan
"Reg Refine" is a tool available in the MIM Maestro v6.4.5 platform (www.mim-software.com) that allows the user to actively participate in the deformable image registration process. The purpose of this work was to evaluate the efficacy of this tool and investigate strategies for how to apply it effectively. This was done by performing DIR on two publicly available ground-truth models, the Pixel-based Breathing Thorax Model (POPI) for lung, and the Deformable Image Registration Evaluation Project (DIREP) for head and neck...
2016: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/27076970/tumor-heterogeneity-on-18-f-fdg-pet-ct-for-response-monitoring-in-non-small-cell-lung-cancer-treated-with-erlotinib
#19
Matthijs H van Gool, Tjeerd S Aukema, Michiel Sinaasappel, Renato A Valdés Olmos, Houke M Klomp
Response monitoring using fluorodeoxyglucose positron emission tomography acquired together with low dose computed tomography (FDG-PET/CT) textural features has potential in targeted treatment with erlotinib in non-small cell lung cancer (NSCLC) patients. Patients with substantial decrease of metabolic activity during erlotinib treatment will probably benefit from continued treatment. However, various aspects of the method (quantification tools, cut-off values, etc.) need to be standardized before the software becomes widely available in a similar manner as standardized uptake value (SUV) measurements...
March 2016: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/27066905/how-to-use-ct-texture-analysis-for-prognostication-of-non-small-cell-lung-cancer
#20
Kenneth A Miles
Patients with non-small cell lung cancer frequently demonstrate differing clinical courses, even when they express the same tumour stage. Additional markers of prognostic significance could allow further stratification of treatment for these patients. By generating quantitative information about tumour heterogeneity as reflected by the distribution of pixel values within the tumour, CT texture analysis (CTTA) can provide prognostic information for patients with NSCLC. In addition to describing the practical application of CTTA to NSCLC, this article discusses a range of issues that need to be addressed when CTTA is included as part of routine clinical care as opposed to its use in a research setting...
April 11, 2016: Cancer Imaging: the Official Publication of the International Cancer Imaging Society
keyword
keyword
90738
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"