Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniques
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Detection performance theory for ultrasound imaging systems.Asymptotic ideal observers and surrogate figures of merit for signal detection with list-mode data.Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal.Estimating random signal parameters from noisy images with nuisance parameters: linear and scanning-linear methodsEfficient estimation of ideal-observer performance in classification tasks involving high-dimensional complex backgrounds.Statistical Characterization of Radiological Images: Basic Principles and Recent ProgressObjective assessment of image quality. V. Photon-counting detectors and list-mode data.Analysis of Fourier-domain task-based detectability index in tomosynthesis and cone-beam CT in relation to human observer performance.Task-based measures of image quality and their relation to radiation dose and patient risk.Optimization of energy window and evaluation of scatter compensation methods in myocardial perfusion SPECT using the ideal observer with and without model mismatch and an anthropomorphic model observerAccounting for anatomical noise in search-capable model observers for planar nuclear imagingEfficiency of the human observer detecting random signals in random backgrounds.Objective assessment of image quality. IV. Application to adaptive optics.A Task-Based Approach to Adaptive and Multimodality Imaging: Computation techniques are proposed for figures-of-merit to establish feasibility and optimize use of multiple imaging systems for disease diagnosis and treatment-monitoring.Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal.Toward realistic and practical ideal observer (IO) estimation for the optimization of medical imaging systems.Model observers in medical imaging researchVisual-search observers for assessing tomographic x-ray image qualityBayesian framework inspired no-reference region-of-interest quality measure for brain MRI images.Collimator optimization and collimator-detector response compensation in myocardial perfusion SPECT using the ideal observer with and without model mismatch and an anthropomorphic model observer.Collimator optimization in myocardial perfusion SPECT using the ideal observer and realistic background variability for lesion detection and joint detection and localization tasksOptimization of energy window for 90Y bremsstrahlung SPECT imaging for detection tasks using the ideal observer with model-mismatch.Collimator optimization in SPECT based on a joint detection and localization task.Optimization and comparison of simultaneous and separate acquisition protocols for dual isotope myocardial perfusion SPECT.Aperture optimization in emission imaging using ideal observers for joint detection and localization.Experimental task-based optimization of a four-camera variable-pinhole small-animal SPECT systemOptimal Joint Detection and Estimation That Maximizes ROC-Type Curves.Estimation receiver operating characteristic curve and ideal observers for combined detection/estimation tasks.Adaptive Hotelling Discriminant Functions.The multi-module, multi-resolution system (M3R): a novel small-animal SPECT system.Noise propagation in resolution modeled PET imaging and its impact on detectability.Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging studyImage Quality Evaluation in Clinical Research: A Case Study on Brain and Cardiac MRI Images in Multi-Center Clinical Trials
P2860
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P2860
Ideal-observer computation in medical imaging with use of Markov-chain Monte Carlo techniques
description
2003 nî lūn-bûn
@nan
2003年の論文
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2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
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2003年论文
@zh
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@zh-cn
name
Ideal-observer computation in ...... v-chain Monte Carlo techniques
@ast
Ideal-observer computation in ...... v-chain Monte Carlo techniques
@en
type
label
Ideal-observer computation in ...... v-chain Monte Carlo techniques
@ast
Ideal-observer computation in ...... v-chain Monte Carlo techniques
@en
prefLabel
Ideal-observer computation in ...... v-chain Monte Carlo techniques
@ast
Ideal-observer computation in ...... v-chain Monte Carlo techniques
@en
P2093
P2860
P356
P1476
Ideal-observer computation in ...... v-chain Monte Carlo techniques
@en
P2093
Eric Clarkson
Harrison H Barrett
John W Hoppin
Matthew A Kupinski
P2860
P304
P356
10.1364/JOSAA.20.000430
P577
2003-03-01T00:00:00Z