AI SearchDetection of myocardial infarction in 2D echocardiograms and cardiac magnetic resonance images using deep learning (Record no. 27892)
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| fixed length control field | 03823nas a2200409 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260818090357.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220914s2022 th uu m rtt 0| a1eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12391761 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.TC-22-02 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ballais, Lalaine Jean Aragon |
| 245 10 - TITLE STATEMENT | |
| Title | Detection of myocardial infarction in 2D echocardiograms and cardiac magnetic resonance images using deep learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 55 leaves : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. TC-22-02 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Telecommunications |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Eng.) - Asian Institute of Technology, 2022 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Ischemic heart disease (IHD) is among the world's principal cause of death and disabil- ity. In the Philippines alone, it is claimed that approximately 99.7 thousand Filipinos died in the year 2020 due to IHD and outranked the number of deaths due to any other disease, including Co ViD-19. IHD, when prolonged could result to the death of heart muscle cells, a condition known as myocardial infarction (MI). Many people expe- rience IHD without symptoms leaving it untreated and suddenly suffering from my- ocardial infarction. According to the global epidemiology for IHD, one of the clinical manifestations of IHD is myocardial infarction. Therefore, finding a way to diagnose myocardial infarction early is of great importance and is the subject of research for many scholars. Myocardial infarction can be diagnosed through imaging techniques such as the echocardiograms and cardiac magnetic resonance images (MRI). Analyz- ing echocardiograms and MRIs are manually done by radiologists and therefore time- consuming and an experience-dependent task. In both imaging modalities, quantifica- tion techniques using statistical signal processing and deep learning algorithms can be used in the detection of myocardial infarction. Quantification techniques, however, re- main a challenge due to the variability in image quality as well as variability in cardiac structures across different subjects. In this study, myocardial infarction is detected by quantifying left ventricle wall motion and myocardial thickening in echocardiograms and MRIs by applying statistical signal processing in a combination of attention U-Net and modified siamese neural network based deep learning architecture. In both imag- ing modalities, the measurement methods were compared. Then, the technique was compared to existing ones. Results show better performance on segmentation and MI detection on echocardiogram than on MRI. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Deep learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Echocardiography, Two-Dimensional |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Coronary heart disease |
| General subdivision | Diagnosis imaging |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Attaphongse Taparugssanagorn, |
| Relator term | Chairperson |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Teerapat Sanguankotchakorn, |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chaklam Silpasuwanchai, |
| Relator term | Examination committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Development Bank - Japan Scholarship Program (ADB-JSP), |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. TC-22-02 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B17274">http://203.159.5.9/ait-thesis/detail.php?q=B17274</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b12391761 |
| b | mnait |
| c | m |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) | |
| a | 240419 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 220914 |
| First date, FD (RLIN) | m |
| -- | b |
| -- | m |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 67-Electronic Resource |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30020220005626 |
| CREATED | CREATED : 2022-09-13 |
| RECORD Id | RECORD # : i13399111 |
| LPATRON | LPATRON : 0 |
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| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : - |
| CREATED | CREATED : 2022-09-13 |
| RECORD Id | RECORD # : i13399123 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.TC-22-02 | 30020220005626 | 18/08/2026 | 1 | 18/08/2026 | 40-Archives | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.TC-22-02 | 18/08/2026 | 18/08/2026 | 67-Electronic Resource |