Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography

no code implementations • 16 May 2022 • Yazan Gharaibeh, Juhwan Lee, Vladislav N. Zimin, Chaitanya Kolluru, Luis A. P. Dallan, Gabriel T. R. Pereira, Armando Vergara-Martel, Justin N. Kim, Ammar Hoori, Pengfei Dong, Peshala T. Gamage, Linxia Gu, Hiram G. Bezerra, Sadeer Al-Kindi, David L. Wilson

CONCLUSIONS We used calcifications and lumen features to identify lesions at risk of stent under-expansion.

regression

OCTOPUS -- optical coherence tomography plaque and stent analysis software

no code implementations • 21 Apr 2022 • Juhwan Lee, Justin N. Kim, Yazan Gharaibeh, Vladislav N. Zimin, Luis A. P. Dallan, Gabriel T. R. Pereira, Armando Vergara-Martel, Chaitanya Kolluru, Ammar Hoori, Hiram G. Bezerra, David L. Wilson

Only up to 3. 8% of plaque pixels were modified, leading to an average editing time of only 7. 5 seconds/frame, an approximately 80% reduction compared to manual analysis.

Segmentation Specificity

Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries

no code implementations • 21 Apr 2022 • Juhwan Lee, Gabriel T. R. Pereira, Yazan Gharaibeh, Chaitanya Kolluru, Vladislav N. Zimin, Luis A. P. Dallan, Justin N. Kim, Ammar Hoori, Sadeer G. Al-Kindi, Giulio Guagliumi, Hiram G. Bezerra, David L. Wilson

We developed an automated method that can detect lipidous plaque and assess fibrous cap thickness in IVOCT images.