Automatic 2D Segmentation of an Intracardiac Catheter Basedon MSER Blob Detector and Eccentricity
| Parent link: | Advances in Intelligent Systems Research Vol. 158 : Critical Infrastructures: Contingency Management, Intelligent, Agent-based, Cloud Computing and Cyber Security (IWCI 2018).— 2018.— [P. 26-30] |
|---|---|
| Співавтор: | |
| Інші автори: | , , , |
| Резюме: | Title screen The present study describes an algorithm for automatic catheter detection and segmentation based onechocardiography data. The catheter area was recognized and then delineated by combination of detection andsegmentation techniques such as the maximally stable extremal regions (MSER) algorithm, feature analysis andKittler-Illingworth thresholding algorithm. Regions processed by MSER detector were restricted by eccentricity.Eccentricity, assessing the shape of the particular region, was chosen as the main feature. Morphological closingwas applied at the pre-processing step. After applying MSER blob detector, detection accuracy of the catheter madeup 86.7±11.5%. After performing an additional restriction based on the shape analysis, the accuracy increased to92.8±6.6%. The proposed algorithm allows performing automatic detection and segmentation of the catheter insidethe heart based on 2D echocardiography data. |
| Мова: | Англійська |
| Опубліковано: |
2018
|
| Предмети: | |
| Онлайн доступ: | https://dx.doi.org/10.2991/iwci-18.2018.5 |
| Формат: | Електронний ресурс Частина з книги |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=659652 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 659652 | ||
| 005 | 20251127100118.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\28321 | ||
| 035 | |a RU\TPU\network\24068 | ||
| 090 | |a 659652 | ||
| 100 | |a 20190313d2018 k||y0engy50 ba | ||
| 101 | 0 | |a eng | |
| 102 | |a FR | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a Automatic 2D Segmentation of an Intracardiac Catheter Basedon MSER Blob Detector and Eccentricity |f V. V. Danilov [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 30 (20 tit.)] | ||
| 330 | |a The present study describes an algorithm for automatic catheter detection and segmentation based onechocardiography data. The catheter area was recognized and then delineated by combination of detection andsegmentation techniques such as the maximally stable extremal regions (MSER) algorithm, feature analysis andKittler-Illingworth thresholding algorithm. Regions processed by MSER detector were restricted by eccentricity.Eccentricity, assessing the shape of the particular region, was chosen as the main feature. Morphological closingwas applied at the pre-processing step. After applying MSER blob detector, detection accuracy of the catheter madeup 86.7±11.5%. After performing an additional restriction based on the shape analysis, the accuracy increased to92.8±6.6%. The proposed algorithm allows performing automatic detection and segmentation of the catheter insidethe heart based on 2D echocardiography data. | ||
| 461 | |t Advances in Intelligent Systems Research | ||
| 463 | |t Vol. 158 : Critical Infrastructures: Contingency Management, Intelligent, Agent-based, Cloud Computing and Cyber Security (IWCI 2018) |o Vth International workshop, 17-24 March 2018, Irkutsk, Russia |o [proceedings] |v [P. 26-30] |d 2018 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a cardiac ultrasound | |
| 610 | 1 | |a endovascular surgery | |
| 610 | 1 | |a MSER | |
| 610 | 1 | |a shape analysis | |
| 610 | 1 | |a catheter detection | |
| 610 | 1 | |a ультразвуковые исследования | |
| 610 | 1 | |a сердце | |
| 701 | 1 | |a Danilov |b V. V. |c specialist in the field of informatics and computer technology |c engineer of Tomsk Polytechnic University |f 1989- |g Vyacheslav Vladimirovich |3 (RuTPU)RU\TPU\pers\37831 | |
| 701 | 1 | |a Skirnevsky |b I. P. |c specialist in the field of automation and computer systems |c educational master Tomsk Polytechnic University |f 1989- |g Igor Petrovich |3 (RuTPU)RU\TPU\pers\35105 | |
| 701 | 1 | |a Gerget |b O. M. |c Specialist in the field of informatics and computer technology |c Professor of Tomsk Polytechnic University, Doctor of Sciences |f 1974- |g Olga Mikhailovna |3 (RuTPU)RU\TPU\pers\31430 |9 15593 | |
| 701 | 1 | |a Manakov |b R. |g Roman | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |b Отделение информационных технологий |3 (RuTPU)RU\TPU\col\23515 |
| 801 | 2 | |a RU |b 63413507 |c 20190313 |g RCR | |
| 856 | 4 | |u https://dx.doi.org/10.2991/iwci-18.2018.5 | |
| 942 | |c CF | ||