Automatic Strut Detection of Bioresorbable Stent from Optical Coherence Tomography Images Open Access

Han, Tianli (2015)

Permanent URL: https://etd.library.emory.edu/concern/etds/hm50ts11p?locale=en
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Abstract

Detection of stents is used for 3D reconstruction of vessel lumens which is important to provide reliable medical analysis. The detection is mainly based on medical images such as OCT. A huge set of image data from hundreds of patients make tedious manual detection unaffordable. In this paper, we propose a new automatic detection algorithm which has a considerable improvement. In most cases, the algorithm can automatically find all stent structures without any error.

Table of Contents

1. Introduction........................................1

1.1 Bioresorbable Stents........................1

1.2 OCT..............................................5

1.3 Purpose of This Research..................6

1.4 Related Work..................................10

2. Pre-processing.....................................11

2.1 Lower Part......................................11

2.2 Circle And Line................................12

2.3 Bright Region..................................13

3. Detection Algorithm..............................16

3.1 From RGB to Binary.........................16

3.2 Edge Detection................................19

3.3 Centroid Plot...................................21

4. Error Elimination..................................23

4.1 Relative Distance.............................23

4.2 Center Modification..........................26

5. Second Detection to Obtain More Struts...28

6. Final Error Elimination..........................31

6.1 Covered Edges................................31

6.2 Nearby Area...................................33

7. Manual Patching...................................35

8. Results...............................................36

9. The Usage of The Strut Points in Stent

Reconstruction And Blood Flow

Simulation..........................................41

10. Reference..........................................43

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