Three dimensional level set based semiautomatic segmentation of atherosclerotic carotid artery wall volume using 3D ultrasound imaging

2014 ◽  
Author(s):  
Md. Murad Hossain ◽  
Khalid AlMuhanna ◽  
Limin Zhao ◽  
Brajesh K. Lal ◽  
Siddhartha Sikdar
Keyword(s):  
Carotid Artery ◽  
Level Set ◽  
Ultrasound Imaging ◽  
Three Dimensional ◽  
3D Ultrasound ◽  
Artery Wall ◽  
Carotid Artery Wall ◽  
Semiautomatic Segmentation

Semiautomatic segmentation of atherosclerotic carotid artery wall volume using 3D ultrasound imaging

2015 ◽  
Vol 42 (4) ◽  
pp. 2029-2043 ◽  
Author(s):  
Md. Murad Hossain ◽  
Khalid AlMuhanna ◽  
Limin Zhao ◽  
Brajesh K. Lal ◽  
Siddhartha Sikdar
Keyword(s):  
Carotid Artery ◽  
Ultrasound Imaging ◽  
3D Ultrasound ◽  
Artery Wall ◽  
Carotid Artery Wall ◽  
Semiautomatic Segmentation

Semiautomatic segmentation of atherosclerotic carotid artery lumen using 3D ultrasound imaging

2013 ◽  
Author(s):  
Md. Murad Hossain ◽  
Khalid AlMuhanna ◽  
Limin Zhao ◽  
Brajesh Lal ◽  
Siddhartha Sikdar
Keyword(s):  
Carotid Artery ◽  
Ultrasound Imaging ◽  
3D Ultrasound ◽  
Semiautomatic Segmentation

Interstudy reproducibility of three-dimensional volume-selective fast spin echo magnetic resonance for quantifying carotid artery wall volume

2005 ◽  
Vol 21 (2) ◽  
pp. 187-191 ◽  
Author(s):  
Anitha Varghese ◽  
Lindsey A. Crowe ◽  
Raad H. Mohiaddin ◽  
Peter D. Gatehouse ◽  
Guang Zhong Yang ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Carotid Artery ◽  
Spin Echo ◽  
Three Dimensional ◽  
Fast Spin Echo ◽  
Artery Wall ◽  
Carotid Artery Wall ◽  
Fast Spin

P1.02 IN VIVO QUANTIFICATION OF CAROTID ARTERY WALL DIMENSIONS: 3.0 TESLA MRI VERSUS B-MODE ULTRASOUND IMAGING

2010 ◽  
Vol 4 (4) ◽  
pp. 153
Author(s):  
R. Duivenvoorden ◽  
E. de Groot ◽  
B.M. Elsen ◽  
J.S. Lameris ◽  
R.J. van der Geest ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Ultrasound Imaging ◽  
Artery Wall ◽  
3.0 Tesla ◽  
Carotid Artery Wall

The smoothness index, but not the trough-to-peak ratio predicts changes in carotid artery wall thickness during antihypertensive treatment

2001 ◽  
Vol 19 (4) ◽  
pp. 703-711 ◽  
Author(s):  
Damiano Rizzoni ◽  
Maria Lorenza Muiesan ◽  
Massimo Salvetti ◽  
Maurizio Castellano ◽  
Giorgio Bettoni ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Wall Thickness ◽  
Antihypertensive Treatment ◽  
Peak Ratio ◽  
Artery Wall ◽  
Carotid Artery Wall ◽  
Smoothness Index

scholarly journals Validation of Scolioscan Air-Portable Radiation-Free Three-Dimensional Ultrasound Imaging Assessment System for Scoliosis

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2858
Author(s):  
Kelly Ka-Lee Lai ◽  
Timothy Tin-Yan Lee ◽  
Michael Ka-Shing Lee ◽  
Joseph Chi-Ho Hui ◽  
Yong-Ping Zheng
Keyword(s):  
Ultrasound Imaging ◽  
Imaging System ◽  
Outcome Measurement ◽  
Three Dimensional ◽  
3D Ultrasound ◽  
Mean Difference ◽  
Assessment System ◽  
Absolute Difference ◽  
Data Sets ◽  
Low Profile

To diagnose scoliosis, the standing radiograph with Cobb’s method is the gold standard for clinical practice. Recently, three-dimensional (3D) ultrasound imaging, which is radiation-free and inexpensive, has been demonstrated to be reliable for the assessment of scoliosis and validated by several groups. A portable 3D ultrasound system for scoliosis assessment is very much demanded, as it can further extend its potential applications for scoliosis screening, diagnosis, monitoring, treatment outcome measurement, and progress prediction. The aim of this study was to investigate the reliability of a newly developed portable 3D ultrasound imaging system, Scolioscan Air, for scoliosis assessment using coronal images it generated. The system was comprised of a handheld probe and tablet PC linking with a USB cable, and the probe further included a palm-sized ultrasound module together with a low-profile optical spatial sensor. A plastic phantom with three different angle structures built-in was used to evaluate the accuracy of measurement by positioning in 10 different orientations. Then, 19 volunteers with scoliosis (13F and 6M; Age: 13.6 ± 3.2 years) with different severity of scoliosis were assessed. Each subject underwent scanning by a commercially available 3D ultrasound imaging system, Scolioscan, and the portable 3D ultrasound imaging system, with the same posture on the same date. The spinal process angles (SPA) were measured in the coronal images formed by both systems and compared with each other. The angle phantom measurement showed the measured angles well agreed with the designed values, 59.7 ± 2.9 vs. 60 degrees, 40.8 ± 1.9 vs. 40 degrees, and 20.9 ± 2.1 vs. 20 degrees. For the subject tests, results demonstrated that there was a very good agreement between the angles obtained by the two systems, with a strong correlation (R2 = 0.78) for the 29 curves measured. The absolute difference between the two data sets was 2.9 ± 1.8 degrees. In addition, there was a small mean difference of 1.2 degrees, and the differences were symmetrically distributed around the mean difference according to the Bland–Altman test. Scolioscan Air was sufficiently comparable to Scolioscan in scoliosis assessment, overcoming the space limitation of Scolioscan and thus providing wider applications. Further studies involving a larger number of subjects are worthwhile to demonstrate its potential clinical values for the management of scoliosis.

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