B-lines Detection and Evaluation in Thorax Ultrasound Video

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December 11, 2016, at 09:17 PM EST by 108.29.102.142 -
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Turandot Saul, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital, more info

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Turandot Saul, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital, more info

December 11, 2016, at 09:17 PM EST by 108.29.102.142 -
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Turandot Saul, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital

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Turandot Saul, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital, more info

December 11, 2016, at 09:17 PM EST by 108.29.102.142 -
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Gabriel Rose, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospitalfor more info

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Gabriel Rose, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital, more info

December 11, 2016, at 09:15 PM EST by 108.29.102.142 -
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Gabriel Rose, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt HospitalGabriel Rose

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Gabriel Rose, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospitalfor more info

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Gabriel Rose, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital

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Gabriel Rose, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt HospitalGabriel Rose

December 11, 2016, at 09:10 PM EST by 108.29.102.142 -
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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
Turandot Saul, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital

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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
Turandot Saul, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital

December 11, 2016, at 09:09 PM EST by 108.29.102.142 -
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Shi-hong Fang, MS Student, ECE, Tandon School of Engineering, NYU
, MS Student, ECE, Tandon School of Engineering, NYU

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Shi-hong Fang
, MS Student, ECE, Tandon School of Engineering, NYU

December 11, 2016, at 09:09 PM EST by 108.29.102.142 -
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Shi-hong Fang, MS Student, ECE, Tandon School of Engineering, NYU

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Shi-hong Fang, MS Student, ECE, Tandon School of Engineering, NYU
, MS Student, ECE, Tandon School of Engineering, NYU

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Zi-yu Shu, MS Student, ECE, Tandon School of Engineering, NYU

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Zi-yu Shu, MS Student, ECE, Tandon School of Engineering, NYU

December 11, 2016, at 09:06 PM EST by 108.29.102.142 -
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The right figure shows an original ultrasound scan, and the left shows the B-line detection result where the detected B-line region is colored green and the detected plural area (? IS THIS WHAT IT IS CALLED?) is delineated by red lines.

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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.

December 11, 2016, at 09:04 PM EST by 108.29.102.142 -
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The right figure shows an original ultrasound scan, and the left shows the B-line detection result where the detected B-line region is colored green and the detected plural area (? IS THIS WHAT IT IS CALLED?) is delineated by red lines.

December 11, 2016, at 09:02 PM EST by 108.29.102.142 -
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Turandot Saul2, Associate Professor

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Turandot Saul, Emergency Ultrasound Division, Mount Sinai St. Luke's Hospital and Mount Sinai Roosevelt Hospital

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1NYU Polytechnic School of Engineering, Brooklyn, NY
2The Mount Sinai Hospital, Manhattan, NY

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Yao Wang, MS Student, ECE, Tandon School of Engineering, NYU1, Professor
Gabriel Rose2, Instructor

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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

December 11, 2016, at 08:59 PM EST by 108.29.102.142 -
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Shi-hong Fang1
Yao Wang1, Professor

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Shi-hong Fang, MS Student, ECE, Tandon School of Engineering, NYU
Yao Wang, MS Student, ECE, Tandon School of Engineering, NYU1, Professor

December 11, 2016, at 08:58 PM EST by 108.29.102.142 -
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Zi-yu Shu1

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Zi-yu Shu, MS Student, ECE, Tandon School of Engineering, NYU

December 11, 2016, at 08:56 PM EST by 108.29.102.142 -
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Grabriel Rose2, Instructor

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Gabriel Rose2, Instructor

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  1. Zi-yu Shu, Yao Wang, Grabriel Rose "B-lines Detection and Evaluation in Thorax Ultrasound Video".
  2. Shi-hong Fang, Yao Wang, Grabriel Rose "Automatic Detection and Evaluation of B-lines by Lung Ultrasound".
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  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".
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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "Automatic Detection and Evaluation of B-lines by Lung Ultrasound".
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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "Automatic Detection and Evaluation of B-lines by Lung Ultrasound".
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Grabriel Rose2, Doctor

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Grabriel Rose2, Instructor
Turandot Saul2, Associate Professor

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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "B-lines Detection and Evaluation in Thorax Ultrasound Video".
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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "Automatic Detection and Evaluation of B-lines by Lung Ultrasound".
December 08, 2016, at 11:05 PM EST by 108.29.102.142 -
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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "'''[[https://www.dropbox.com/s/7470kmxwfx0fnts/improved_Shu_B-lines%20Detection%20and%20Evaluation%20in%20Thorax%20Ultrasound%20Video.pdf?dl=0| Automatic Detection and Evaluation of B-lines by

Lung Ultrasound]]'''".

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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "B-lines Detection and Evaluation in Thorax Ultrasound Video".
December 08, 2016, at 11:05 PM EST by 108.29.102.142 -
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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "'''[[https://www.dropbox.com/s/xorhzl3784o6gg4/report_V2.pdf?dl=0| Automatic Detection and Evaluation of B-lines by
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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "'''[[https://www.dropbox.com/s/7470kmxwfx0fnts/improved_Shu_B-lines%20Detection%20and%20Evaluation%20in%20Thorax%20Ultrasound%20Video.pdf?dl=0| Automatic Detection and Evaluation of B-lines by
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  1. Zi-yu Shu, Yao Wang, Grabriel Rose "B-lines Detection and Evaluation in Thorax Ultrasound Video".
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  1. Shi-hong Fang, Yao Wang, Grabriel Rose "'''[[https://www.dropbox.com/s/xorhzl3784o6gg4/report_V2.pdf?dl=0| Automatic Detection and Evaluation of B-lines by

Lung Ultrasound]]'''".

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  1. Zi-yu Shu, Yao Wang, Grabriel Rose "B-lines Detection and Evaluation in Thorax Ultrasound Video".
December 08, 2016, at 10:59 PM EST by 108.29.102.142 -
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Due to its convenient real time, non-invasive detection, lung ultrasound is an excellent diagnostic tool in researches related to pulmonary congestion. However, its objective assessment remains elusive. Currently, the detection and evaluation of pulmonary congestion largely rely on manual detection of B-lines by ultrasound specialists. In this paper, I propose an automatic method to detect B-lines. I also examine the correlation between the ratio of B-line occupancy and the brain natriuretic peptide (BNP) values.

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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.

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Related Publications:

  1. Zi-yu Shu, Yao Wang "B-lines Detection and Evaluation in Thorax Ultrasound Video".
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Related Technical Report:

  1. Zi-yu Shu, Yao Wang, Grabriel Rose "B-lines Detection and Evaluation in Thorax Ultrasound Video".
December 08, 2016, at 10:57 PM EST by 108.29.102.142 -
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Zi-yu Shu1

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Zi-yu Shu1
Shi-hong Fang1

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+Project Summary:

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Project Summary:

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Grabriel Rose2, Doctor

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2The Mount Sinai Hospital, Manhattan, NY

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Project Summary:

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+Project Summary:

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Due to its convenient real time, non-invasive detection, lung ultrasound is an excellent diagnostic tool in researches related to pulmonary congestion. However, its objective assessment remains elusive. Currently, the detection and evaluation of pulmonary congestion largely rely on manual detection of B-lines by ultrasound specialists. In this paper, I propose an automatic method to detect B-lines. I also examine the correlation between the ratio of B-line occupancy and the brain natriuretic peptide (BNP) values.

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Project Summary:

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Attach:

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  1. Zi-yu Shu, Yao Wang"B-lines Detection and Evaluation in Thorax Ultrasound Video", IEEE International Ultrasonics Symposium (IUS), July 2013.
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  1. Zi-yu Shu, Yao Wang "B-lines Detection and Evaluation in Thorax Ultrasound Video".
December 08, 2016, at 08:20 PM EST by 108.29.102.142 -
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  1. Jen-wei Kuo, Yao Wang, Orlando Aristizabal, Jeffrey A. Ketterling, Jonathan Mamou"Automatic Mouse Embryo Brain Ventricle Segmentation from 3D 40-MHz Ultrasound Data", IEEE International Ultrasonics Symposium (IUS), July 2013.
to:
  1. Zi-yu Shu, Yao Wang"B-lines Detection and Evaluation in Thorax Ultrasound Video", IEEE International Ultrasonics Symposium (IUS), July 2013.
December 08, 2016, at 08:19 PM EST by 108.29.102.142 -
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Related Publications:Attach:

  1. Jen-wei Kuo, Yao Wang, Orlando Aristizabal, Jeffrey A. Ketterling, Jonathan Mamou"https://www.dropbox.com/s/7470kmxwfx0fnts/improved_Shu_B-lines%20Detection%20and%20Evaluation%20in%20Thorax%20Ultrasound%20Video.pdf?dl=0", IEEE International Ultrasonics Symposium (IUS), July 2013.
to:

Related Publications:

  1. Jen-wei Kuo, Yao Wang, Orlando Aristizabal, Jeffrey A. Ketterling, Jonathan Mamou"Automatic Mouse Embryo Brain Ventricle Segmentation from 3D 40-MHz Ultrasound Data", IEEE International Ultrasonics Symposium (IUS), July 2013.
December 08, 2016, at 08:17 PM EST by 108.29.102.142 -
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  1. Jen-wei Kuo, Yao Wang, Orlando Aristizabal, Jeffrey A. Ketterling, Jonathan Mamou"Automatic Mouse Embryo Brain Ventricle Segmentation from 3D 40-MHz Ultrasound Data", IEEE International Ultrasonics Symposium (IUS), July 2013.
to:
  1. Jen-wei Kuo, Yao Wang, Orlando Aristizabal, Jeffrey A. Ketterling, Jonathan Mamou"https://www.dropbox.com/s/7470kmxwfx0fnts/improved_Shu_B-lines%20Detection%20and%20Evaluation%20in%20Thorax%20Ultrasound%20Video.pdf?dl=0", IEEE International Ultrasonics Symposium (IUS), July 2013.
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Attach:
Project Participants:

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Project Participants:

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Related Publications:

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Related Publications:Attach:

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Orlando Aristizabal2
Jonathan Mamou2

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2Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY

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Jen-wei Kuo1

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Zi-yu Shu1

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Project Participants:

Jen-wei Kuo1
Yao Wang1, Professor
Orlando Aristizabal2
Jonathan Mamou2

1NYU Polytechnic School of Engineering, Brooklyn, NY
2Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY


Related Publications:

  1. Jen-wei Kuo, Yao Wang, Orlando Aristizabal, Jeffrey A. Ketterling, Jonathan Mamou"Automatic Mouse Embryo Brain Ventricle Segmentation from 3D 40-MHz Ultrasound Data", IEEE International Ultrasonics Symposium (IUS), July 2013.
Page last modified on December 11, 2016, at 09:17 PM EST