AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance.

The international journal of cardiovascular imaging Apr 13, 2017
We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomography (LIE-CT) with knowledge-based iterative model reconstruction (IMR) for the detection of myocardial infarction (MI) in comparison with late gadoli...
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Myocardial Infarction Knowledge Bases Contrast Media Predictive Value of Tests Myocardium Coronary Angiography Myocardial Perfusion Imaging Gadolinium DTPA Magnetic Resonance Imaging, Cine Cardiac-Gated Imaging Techniques Iopamidol Observer Variation Multidetector Computed Tomography Humans Computed Tomography Angiography Retrospective Studies Coronary Circulation Female Male Middle Aged Electrocardiography Reproducibility of Results Aged
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Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs.

Artificial intelligence in medicine Mar 27, 2017
This paper presents a novel, fully automatic approach based on a fully convolutional network (FCN) for segmenting liver tumors from CT images. Specifically, we designed a multi-channel fully convolutional network (MC-FCN) to segment liver tumors from...
Liver Neoplasms Contrast Media Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Databases, Factual Retrospective Studies Tomography, X-Ray Computed Reproducibility of Results Automation Humans Artificial Intelligence
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Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.

Artificial intelligence in medicine Mar 18, 2017
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the pred...
Risk Factors Time Factors Head and Neck Neoplasms Fuzzy Logic Predictive Value of Tests Humans Machine Learning Tomography, X-Ray Computed Xerostomia Radiotherapy Dosage Radiation Injuries Radiation Exposure Bayes Theorem Cranial Irradiation Radiographic Image Interpretation, Computer-Assisted Parotid Gland Early Diagnosis
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Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

Journal of cardiovascular computed tomography Feb 23, 2017
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Germany Coronary Vessels Radiation Dosage Signal-To-Noise Ratio Radiation Exposure Multidetector Computed Tomography Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Knowledge Bases Female Male Reproducibility of Results Middle Aged Aged Body Mass Index Humans Predictive Value of Tests Algorithms
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A deep learning approach for the analysis of masses in mammograms with minimal user intervention.

Medical image analysis Jan 28, 2017
We present an integrated methodology for detecting, segmenting and classifying breast masses from mammograms with minimal user intervention. This is a long standing problem due to low signal-to-noise ratio in the visualisation of breast masses, combi...
Mammography Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Breast Machine Learning Female Sensitivity and Specificity Breast Neoplasms Humans
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Epicardial adipose tissue and myocardial ischemia assessed by computed tomography perfusion imaging and invasive fractional flow reserve.

Journal of cardiovascular computed tomography Dec 30, 2016
BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active fat depot that is associated with incident coronary artery disease (CAD) and major adverse cardiovascular events. The relationship between EAT and myocardial ischemia remains uncle...
Coronary Angiography Male Humans Myocardial Perfusion Imaging Radiographic Image Interpretation, Computer-Assisted Middle Aged Tomography, X-Ray Computed Coronary Stenosis Coronary Artery Disease Adipose Tissue Female Fractional Flow Reserve, Myocardial Coronary Vessels Predictive Value of Tests Aged Pericardium
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Characterizing Architectural Distortion in Mammograms by Linear Saliency.

Journal of medical systems Dec 22, 2016
Architectural distortion (AD) is a common cause of false-negatives in mammograms. This lesion usually consists of a central retraction of the connective tissue and a spiculated pattern radiating from it. This pattern is difficult to detect due the co...
Humans Breast Neoplasms ROC Curve Support Vector Machine Algorithms Sensitivity and Specificity Mammography Radiographic Image Interpretation, Computer-Assisted Markov Chains
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Tomographic image reconstruction via estimation of sparse unidirectional gradients.

Computers in biology and medicine Dec 21, 2016
Since computed tomography (CT) was developed over 35 years ago, new mathematical ideas and computational algorithms have been continuingly elaborated to improve the quality of reconstructed images. In recent years, a considerable effort can be notice...
Pattern Recognition, Automated Phantoms, Imaging Radiographic Image Enhancement Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Brain
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Multi-atlas and unsupervised learning approach to perirectal space segmentation in CT images.

Australasian physical & engineering sciences in medicine Nov 14, 2016
Perirectal space segmentation in computed tomography images aids in quantifying radiation dose received by healthy tissues and toxicity during the course of radiation therapy treatment of the prostate. Radiation dose normalised by tissue volume facil...
Regression Analysis Unsupervised Machine Learning Humans Rectum Algorithms Radiographic Image Interpretation, Computer-Assisted Databases as Topic Tomography, X-Ray Computed Cluster Analysis
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Lung nodule classification using deep feature fusion in chest radiography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 12, 2016
Lung nodules are small, round, or oval-shaped masses of tissue in the lung region. Early diagnosis and treatment of lung nodules can significantly improve the quality of patients' lives. Because of their small size and the interlaced nature of chest ...
Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Radiography, Thoracic Humans Machine Learning Sensitivity and Specificity Lung
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