B-lines Detection and Evaluation in Thorax Ultrasound Video



Project Summary:

Currently, the detection and evaluation of pulmonary congestion largely rely on manual detection of B-lines by ultrasound specialists. In this project, we develop computation algorithms that can automatically detect and quantify B-lines.

The left figure shows an original ultrasound scan, and the right shows the B-line detection result. where the detected B-line region is colored green, the detected A-line is colored blue, and the detected plural space is delineated by red lines.

Project Participants:

Zi-yu Shu, MS Student, ECE, Tandon School of Engineering, NYU
Shi-hong Fang, MS Student, ECE, Tandon School of Engineering, NYU
Yao Wang, Professor, ECE, Tandon School of Engineering, NYU
Gabriel Rose, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital, more info
Turandot Saul, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital, more info



Related Technical Report:

  1. Zi-yu Shu, Yao Wang, Gabriel Rose "B-lines Detection and Evaluation in Thorax Ultrasound Video".
  2. Shi-hong Fang, Yao Wang, Gabriel Rose "Automatic Detection and Evaluation of B-lines by Lung Ultrasound".
Page last modified on December 11, 2016, at 09:17 PM EST