Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
<p>Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a novel approach, Active Polynomials, which can accurately and robustly...
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2020
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| _version_ | 1864513561268584448 |
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| author | Serkan Kiranyaz (3762058) |
| author2 | Aysen Degerli (16869918) Tahir Hamid (16869921) Rashid Mazhar (14571265) Rayyan El Fadil Ahmed (16869924) Rayaan Abouhasera (14603270) Morteza Zabihi (16869927) Junaid Malik (16869930) Ridha Hamila (7006457) Moncef Gabbouj (2276533) |
| author2_role | author author author author author author author author author |
| author_facet | Serkan Kiranyaz (3762058) Aysen Degerli (16869918) Tahir Hamid (16869921) Rashid Mazhar (14571265) Rayyan El Fadil Ahmed (16869924) Rayaan Abouhasera (14603270) Morteza Zabihi (16869927) Junaid Malik (16869930) Ridha Hamila (7006457) Moncef Gabbouj (2276533) |
| author_role | author |
| dc.creator.none.fl_str_mv | Serkan Kiranyaz (3762058) Aysen Degerli (16869918) Tahir Hamid (16869921) Rashid Mazhar (14571265) Rayyan El Fadil Ahmed (16869924) Rayaan Abouhasera (14603270) Morteza Zabihi (16869927) Junaid Malik (16869930) Ridha Hamila (7006457) Moncef Gabbouj (2276533) |
| dc.date.none.fl_str_mv | 2020-11-17T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2020.3038743 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Left_Ventricular_Wall_Motion_Estimation_by_Active_Polynomials_for_Acute_Myocardial_Infarction_Detection/24015594 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Engineering Biomedical engineering Information and computing sciences Data management and data science Image segmentation Visualization Databases Motion segmentation Myocardium Tools Medical diagnostic imaging Echocardiogram Left ventricular wall motion estimation Myocardial infarction |
| dc.title.none.fl_str_mv | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a novel approach, Active Polynomials, which can accurately and robustly estimate the global motion of the Left Ventricular (LV) wall from any echo in a robust and accurate way. The proposed algorithm quantifies the true wall motion occurring in LV wall segments so as to assist cardiologists diagnose early signs of an acute MI. It further enables medical experts to gain an enhanced visualization capability of echo images through color-coded segments along with their “maximum motion displacement” plots helping them to better assess wall motion and LV Ejection-Fraction (LVEF). The outputs of the method can further help echo-technicians to assess and improve the quality of the echocardiogram recording. A major contribution of this study is the first public echo database collection composed by physicians at the Hamad Medical Corporation Hospital in Qatar. The so-called HMC-QU database will serve as the benchmark for the forthcoming relevant studies. The results over HMC-QU dataset show that the proposed approach can achieve 87.94% accuracy, 92.86% sensitivity and 87.64% precision in MI detection even though the echo quality is quite poor and the temporal resolution is low.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2020.3038743" target="_blank">https://dx.doi.org/10.1109/access.2020.3038743</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_a7d928fd957fc930134ecc77b2edba8b |
| identifier_str_mv | 10.1109/access.2020.3038743 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24015594 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction DetectionSerkan Kiranyaz (3762058)Aysen Degerli (16869918)Tahir Hamid (16869921)Rashid Mazhar (14571265)Rayyan El Fadil Ahmed (16869924)Rayaan Abouhasera (14603270)Morteza Zabihi (16869927)Junaid Malik (16869930)Ridha Hamila (7006457)Moncef Gabbouj (2276533)Biomedical and clinical sciencesCardiovascular medicine and haematologyClinical sciencesEngineeringBiomedical engineeringInformation and computing sciencesData management and data scienceImage segmentationVisualizationDatabasesMotion segmentationMyocardiumToolsMedical diagnostic imagingEchocardiogramLeft ventricular wall motion estimationMyocardial infarction<p>Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a novel approach, Active Polynomials, which can accurately and robustly estimate the global motion of the Left Ventricular (LV) wall from any echo in a robust and accurate way. The proposed algorithm quantifies the true wall motion occurring in LV wall segments so as to assist cardiologists diagnose early signs of an acute MI. It further enables medical experts to gain an enhanced visualization capability of echo images through color-coded segments along with their “maximum motion displacement” plots helping them to better assess wall motion and LV Ejection-Fraction (LVEF). The outputs of the method can further help echo-technicians to assess and improve the quality of the echocardiogram recording. A major contribution of this study is the first public echo database collection composed by physicians at the Hamad Medical Corporation Hospital in Qatar. The so-called HMC-QU database will serve as the benchmark for the forthcoming relevant studies. The results over HMC-QU dataset show that the proposed approach can achieve 87.94% accuracy, 92.86% sensitivity and 87.64% precision in MI detection even though the echo quality is quite poor and the temporal resolution is low.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2020.3038743" target="_blank">https://dx.doi.org/10.1109/access.2020.3038743</a></p>2020-11-17T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2020.3038743https://figshare.com/articles/journal_contribution/Left_Ventricular_Wall_Motion_Estimation_by_Active_Polynomials_for_Acute_Myocardial_Infarction_Detection/24015594CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240155942020-11-17T00:00:00Z |
| spellingShingle | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection Serkan Kiranyaz (3762058) Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Engineering Biomedical engineering Information and computing sciences Data management and data science Image segmentation Visualization Databases Motion segmentation Myocardium Tools Medical diagnostic imaging Echocardiogram Left ventricular wall motion estimation Myocardial infarction |
| status_str | publishedVersion |
| title | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection |
| title_full | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection |
| title_fullStr | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection |
| title_full_unstemmed | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection |
| title_short | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection |
| title_sort | Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection |
| topic | Biomedical and clinical sciences Cardiovascular medicine and haematology Clinical sciences Engineering Biomedical engineering Information and computing sciences Data management and data science Image segmentation Visualization Databases Motion segmentation Myocardium Tools Medical diagnostic imaging Echocardiogram Left ventricular wall motion estimation Myocardial infarction |