Acknowledgement
This study was supported by grants from the Ministry of Science and ICT (NRF2021R1A2C2006831) and the Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea (grant Nos. 2021IP0071-1 and 2019IE7053).
References
- Fujii K, Carlier SG, Mintz GS, et al. Stent underexpansion and residual reference segment stenosis are related to stent thrombosis after sirolimus-eluting stent implantation: an intravascular ultrasound study. J Am Coll Cardiol 2005;45:995-8.
- Okabe T, Mintz GS, Buch AN, et al. Intravascular ultrasound parameters associated with stent thrombosis after drug-eluting stent deployment. Am J Cardiol 2007;100:615-20.
- Liu X, Doi H, Maehara A, et al. A volumetric intravascular ultrasound comparison of early drug-eluting stent thrombosis versus restenosis. JACC Cardiovasc Interv 2009;2:428-34.
- Stone GW, Maehara A, Lansky AJ, et al.. A prospective natural-history study of coronary atherosclerosis. N Engl J Med 2011;364:226-35.
- Bajaj R, Huang X, Kilic Y, et al. Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images. Int J Cardiol 2021;339:185-91.
- Zhu F, Gao Z, Zhao C, et al. A deep learning-based method to extract lumen and media-adventitia in intravascular ultrasound images. Ultrason Imaging 2022;44:191-203.
- Szarski M, Chauhan S. Improved real-time segmentation of intravascular ultrasound images using coordinate-aware fully convolutional networks. Comput Med Imaging Graph 2021;91:101955.
- Destrempes F, Roy Cardinal MH, Allard L, Tardif JC, Cloutier G. Segmentation method of intravascular ultrasound images of human coronary arteries. Comput Med Imaging Graph 2014;38:91-103.
- Brunenberg E, Pujol O, ter Haar Romeny B, Radeva P. Automatic IVUS segmentation of atherosclerotic plaque with stop & go snake. Med Image Comput Comput Assist Interv 2006;9:9-16.
- Mendizabal-Ruiz EG, Rivera M, Kakadiaris IA. Segmentation of the luminal border in intravascular ultrasound B-mode images using a probabilistic approach. Med Image Anal 2013;17:649-70.
- Yang J, Faraji M, Basu A. Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net. Ultrasonics 2019;96:24-33.
- Nishi T, Yamashita R, Imura S, et al. Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease. Int J Cardiol 2021;333:55-9.