An automated computer-assisted ultrasonic diagnostic system

1994 ◽  
Vol 28 (5) ◽  
pp. 292-294
Author(s):  
N. E. Nagulin ◽  
A. V. Pershin
Keyword(s):  
Diagnostic System ◽  
Computer Assisted ◽  
Ultrasonic Diagnostic System

scholarly journals Evaluation of the effectiveness of ultrasound shear elastography and liver steatometry

2020 ◽  
Vol 92 (4) ◽  
pp. 17-22
Author(s):  
O. I. Tarasova ◽  
E. I. Kuhareva ◽  
S. K. Krasnitskaya ◽  
N. V. Mazurchik ◽  
M. Ya. Ngameni ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Comparative Analysis ◽  
Liver Fibrosis ◽  
Liver Biopsy ◽  
Liver Steatosis ◽  
Diagnostic System ◽  
Ultrasound Elastography ◽  
Cross Sectional ◽  
Ultrasonic Diagnostic System ◽  
Diagnostic Criterion

Detection of liver fibrosis and steatosis at early stages is a difficult task for clinical practice, due to the lack of early signs in routine radiation diagnostics. Aim. To evaluate the efficacy of ultrasound shear elastography and ultrasound steatometry of the liver with the use of domestic ultrasonic diagnostic system Angiodin-Sono/N-Ultra. Materials and methods. 264 people held ultrasound elastography and ultrasound steatometry. 38 patients underwent percutaneous puncture liver biopsy and subsequent pathophysiological examination. Results. High correlation of fibrosis obtained at the Angiodin-Sono/N-Ultra and the leading ultrasonic systems with shear elastography was revealed. Cross-sectional comparative analysis of elasticity with the results of liver steatometry was conducted. Conclusions. Results obtained in all groups correlate with the data obtained in studies on Fibroscan. When working with system Angiodin we got a simultaneous comparative analysis of elasticity with the results of liver steatosis. Results appear to be much more stable and compact than those obtained in studies on the Fibroscan. A new diagnostic criterion was revealed the phenomenon of independence of fibrosis and steatosis indices.

scholarly journals A new computer-assisted automated diagnostic system(ML 1100) of exercise electrocardiography.

1996 ◽  
Vol 16 (4) ◽  
pp. 369-375
Author(s):  
Kiyoshi Kawakubo ◽  
Toshiki Ohta ◽  
Haruki Musya ◽  
Tohru Hashimoto ◽  
Mutuo Kaneko ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Computer Assisted ◽  
Exercise Electrocardiography

A Computer Assisted Diagnostic System for Mass Detection

1998 ◽  
pp. 79-86 ◽  
Author(s):  
Wei Qian ◽  
Lihua Li ◽  
Laurence Clarke ◽  
Fei Mao ◽  
Robert A. Clark ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Computer Assisted ◽  
Mass Detection

Ultrasonic Diagnostic System for Interactive Interrogation of Adult Brain Through Intact Skull

1982 ◽  
Vol 17 (5) ◽  
pp. 463-469 ◽  
Author(s):  
F J FRY ◽  
N T SANGHVI ◽  
R F MORRIS ◽  
J L CLENDENON ◽  
K A DINES ◽  
...  
Keyword(s):  
Diagnostic System ◽  
Adult Brain ◽  
Ultrasonic Diagnostic System

Computer assisted uroflowmetry diagnostic system

2006 ◽  
Author(s):  
Jarosław Makal ◽  
Adam Idźkowski ◽  
Wojciech Walendziuk
Keyword(s):  
Diagnostic System ◽  
Computer Assisted

scholarly journals Localization and segmentation of optic disc in retinal images using Circular Hough transform and Grow Cut algorithm

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2003 ◽  
Author(s):  
Muhammad Abdullah ◽  
Muhammad Moazam Fraz ◽  
Sarah A. Barman
Keyword(s):  
Optic Disc ◽  
Hough Transform ◽  
Retinal Image ◽  
Diagnostic System ◽  
Retinal Images ◽  
Computer Assisted ◽  
Morphological Operations ◽  
Circular Hough Transform ◽  
Disc Center ◽  
Unique Method

Automated retinal image analysis has been emerging as an important diagnostic tool for early detection of eye-related diseases such as glaucoma and diabetic retinopathy. In this paper, we have presented a robust methodology for optic disc detection and boundary segmentation, which can be seen as the preliminary step in the development of a computer-assisted diagnostic system for glaucoma in retinal images. The proposed method is based on morphological operations, the Circular Hough transform and the Grow Cut algorithm. The morphological operators are used to enhance the optic disc and remove the retinal vasculature and other pathologies. The optic disc center is approximated using the Circular Hough transform, and the Grow Cut algorithm is employed to precisely segment the optic disc boundary. The method is quantitatively evaluated on five publicly available retinal image databases DRIVE, DIARETDB1, CHASE_DB1, DRIONS-DB, Messidor and one local Shifa Hospital Database. The method achieves an optic disc detection success rate of 100% for these databases with the exception of 99.09% and 99.25% for the DRIONS-DB, Messidor, and ONHSD databases, respectively. The optic disc boundary detection achieved an average spatial overlap of 78.6%, 85.12%, 83.23%, 85.1%, 87.93%, 80.1%, and 86.1%, respectively, for these databases. This unique method has shown significant improvement over existing methods in terms of detection and boundary extraction of the optic disc.

ULTRASONIC DIAGNOSTIC SYSTEM FOR ROTATING BODIES

2001 ◽  
Vol 240 (3) ◽  
pp. 581-586 ◽  
Author(s):  
V.I. RIMLYAND ◽  
A.I. KONDRATIEV ◽  
A.V. KAZARBIN ◽  
M.B. DOBROMYSLOV
Keyword(s):  
Diagnostic System ◽  
Ultrasonic Diagnostic System ◽  
Rotating Bodies
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