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Papers by Lynne Roy

Research paper thumbnail of Developing a Culture of Safety in an Imaging Department

Journal of the American College of Radiology, 2015

Research paper thumbnail of Comparison of Physiologic Ejection Fraction Responses to Differing Stimuli: Implications for Clinical Testing

Clinical Nuclear Medicine, 1988

Research paper thumbnail of Frequent Association of Late Reversible Spect THALLIUM-201 Stress Defects With Resting Myocardial Ischemia and Severe Coronary Stenosis

Clinical Nuclear Medicine, 1988

Research paper thumbnail of COMPARISON OF RESTING Tc-99m MIBI THALLIUM-201 MYOCARDIAL PERFUSION STUDIES IN PATIENTS WITH KNOWN MYOCARDIAL INFARCTION

Clinical Nuclear Medicine, 1987

Research paper thumbnail of Detection and Localization of Myocardial Infarction by Gated TC-99M Mibi (RP-30) Myocardial Perfusion Study

Clinical Nuclear Medicine, 1987

This paper presents automatic detection and localization of myocardial infarction (MI) using K-ne... more This paper presents automatic detection and localization of myocardial infarction (MI) using K-nearest neighbor (KNN) classifier. Time domain features of each beat in the ECG signal such as T wave amplitude, Q wave and ST level deviation, which are indicative of MI, are extracted from 12 leads ECG. Detection of MI aims to classify normal subjects without myocardial infarction and subjects suffering from Myocardial Infarction. For further investigation, Localization of MI is done to specify the region of infarction of the heart. Total 20,160 ECG beats from PTB database available on Physio-bank is used to investigate the performance of extracted features with KNN classifier. In the case of MI detection, sensitivity and specificity of KNN is found to be 99.9% using half of the randomly selected beats as training set and rest of the beats for testing. Moreover, Arif-Fayyaz pruning algorithm is used to prune the data which will reduce the storage requirement and computational cost of search. After pruning, sensitivity and specificity are dropped to 97% and 99.6% respectively but training is reduced by 93%.

Research paper thumbnail of Comparison of technetium 99m methoxy isobutyl isonitrile and thallium 201 for evaluation of coronary artery disease by planar and tomographic methods

American Heart Journal, 1989

Comparison of technetium 99m methoxy isobutyl isonitrile and thallium 201 for evaluation of coron... more Comparison of technetium 99m methoxy isobutyl isonitrile and thallium 201 for evaluation of coronary artery disease by planar and tomographic methods

Research paper thumbnail of Development and prospective application of quantitative 2-day stress-rest Tc-99m methoxy isobutyl isonitrile SPECT for the diagnosis of coronary artery disease

American Heart Journal, 1990

Research paper thumbnail of PACS: The Long and Winding Road

Journal of the American College of Radiology, 2006

Research paper thumbnail of Developing a Culture of Safety in an Imaging Department

Journal of the American College of Radiology, 2015

Research paper thumbnail of Comparison of Physiologic Ejection Fraction Responses to Differing Stimuli: Implications for Clinical Testing

Clinical Nuclear Medicine, 1988

Research paper thumbnail of Frequent Association of Late Reversible Spect THALLIUM-201 Stress Defects With Resting Myocardial Ischemia and Severe Coronary Stenosis

Clinical Nuclear Medicine, 1988

Research paper thumbnail of COMPARISON OF RESTING Tc-99m MIBI THALLIUM-201 MYOCARDIAL PERFUSION STUDIES IN PATIENTS WITH KNOWN MYOCARDIAL INFARCTION

Clinical Nuclear Medicine, 1987

Research paper thumbnail of Detection and Localization of Myocardial Infarction by Gated TC-99M Mibi (RP-30) Myocardial Perfusion Study

Clinical Nuclear Medicine, 1987

This paper presents automatic detection and localization of myocardial infarction (MI) using K-ne... more This paper presents automatic detection and localization of myocardial infarction (MI) using K-nearest neighbor (KNN) classifier. Time domain features of each beat in the ECG signal such as T wave amplitude, Q wave and ST level deviation, which are indicative of MI, are extracted from 12 leads ECG. Detection of MI aims to classify normal subjects without myocardial infarction and subjects suffering from Myocardial Infarction. For further investigation, Localization of MI is done to specify the region of infarction of the heart. Total 20,160 ECG beats from PTB database available on Physio-bank is used to investigate the performance of extracted features with KNN classifier. In the case of MI detection, sensitivity and specificity of KNN is found to be 99.9% using half of the randomly selected beats as training set and rest of the beats for testing. Moreover, Arif-Fayyaz pruning algorithm is used to prune the data which will reduce the storage requirement and computational cost of search. After pruning, sensitivity and specificity are dropped to 97% and 99.6% respectively but training is reduced by 93%.

Research paper thumbnail of Comparison of technetium 99m methoxy isobutyl isonitrile and thallium 201 for evaluation of coronary artery disease by planar and tomographic methods

American Heart Journal, 1989

Comparison of technetium 99m methoxy isobutyl isonitrile and thallium 201 for evaluation of coron... more Comparison of technetium 99m methoxy isobutyl isonitrile and thallium 201 for evaluation of coronary artery disease by planar and tomographic methods

Research paper thumbnail of Development and prospective application of quantitative 2-day stress-rest Tc-99m methoxy isobutyl isonitrile SPECT for the diagnosis of coronary artery disease

American Heart Journal, 1990

Research paper thumbnail of PACS: The Long and Winding Road

Journal of the American College of Radiology, 2006

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