Computer-Aided Fetal Cardiac Scanning using 2D Ultrasound

2012 ◽  
Vol 1 (1) ◽  
pp. 1-13 ◽  
Author(s):  
N. Sriraam ◽  
S. Vijayalakshmi ◽  
S. Suresh
Keyword(s):  
Fetal Heart ◽  
Region Of Interest ◽  
Well Being ◽  
Experimental Simulation ◽  
Morphological Filters ◽  
Fetal Biometry ◽  
Heart Chamber ◽  
Computer Aided ◽  
2D Ultrasound ◽  
Heart Abnormalities

Fetal heart biometry is an indicator for providing information about the presence of heart chambers, their growth, and well being. As a clinical routine, ultrasonic scanning based fetal biometry is performed during the second trimester by skilled specialists. Such procedures are often considered tedious and time consuming. Detection of congenital heart abnormalities, such as septal defects, affects the proper functioning of the heart during the growth of the fetus, and such defects can be identified if the fetal heart structure and its features like size, shape, and symmetry are monitored. Recently, attempts have been made to provide computer-aided automated procedure where the performance depends on the efficacy of the developed algorithms. This work focuses on computer aided automated fetal cardiac scanning using 2-D ultrasonic imaging from fetal heart biometry. The process involves extracting frames from the cine-loop sequences followed by removal of noise using morphological filters. The chamber region is recognized by introducing automated region of interest (ROI). Experimental simulation study demonstrates the efficiency of algorithm in detecting the shape of each chamber. The identified chamber shape will further facilitate in automated measurement of fetal heart chamber and thus reduces the qualitative visualization errors.

scholarly journals FETAL CARDIAC STRUCTURE DETECTION FROM ULTRASOUND SEQUENCES

2012 ◽  
pp. 53-57
Author(s):  
RESHMI MARIAM REJI JACOB ◽  
S. PRABAKAR ◽  
DR.K. PORKUMARAN
Keyword(s):  
Clustering Algorithm ◽  
Fetal Heart ◽  
Heart Defects ◽  
Region Of Interest ◽  
Appearance Model ◽  
Cardiac Structure ◽  
Structure Detection ◽  
Heart Abnormalities ◽  
Novel Method ◽  
Effective Diagnosis

Fetal heart abnormalities are the most common congenital anomalies and are also the leading cause of infant mortality related to birth defects. More than one-third of all malformations found after delivery are congenital heart defects. The prenatal detection of fetal cardiac structure is difficult because of its small size and rapid movements but is important for the early and effective diagnosis of congenital cardiac defects. A novel method is proposed for the detection of fetal cardiac structure from ultrasound sequences. An initial pre-processing is done to remove noise and enhance the images. An effective K means clustering algorithm is applied to the images to segment the region of interest. Finally an active appearance model is proposed to detect the structure of fetal heart.

A Primitive Survey on Ultrasonic Imaging-Oriented Segmentation Techniques for Detection of Fetal Cardiac Chambers

2019 ◽  
Vol 8 (2) ◽  
pp. 69-79
Author(s):  
Punya Prabha V. ◽  
Sriraam N.
Keyword(s):  
Fetal Heart ◽  
Ultrasonic Imaging ◽  
Region Of Interest ◽  
Doppler Imaging ◽  
Diagnostic Tools ◽  
Identification Process ◽  
Heart Chamber ◽  
Chamber View ◽  
Huge Challenge ◽  
Cine Loop

Recognition of presence of fetal cardiac chambers through ultrasonic Doppler imaging poses a huge challenge for the clinical community. The four-chamber view and outflow tracts are found to be a potential identity marker for presence of all heart chambers as well as current states of fetal heart. Given the cine loop ultrasonic imaging sequences, computer-aided diagnostic tools have been developed to detect and measures the chambers through automated mode. Segmentation and region of interest identification process contribute significantly towards the presence of heart chamber and presence of abnormality. This study provides a primitive survey towards the ultrasonic imaging-oriented segmentation techniques for detection/recognition of all four fetal cardiac chambers. The challenges for the biomedical community were also reported.

scholarly journals Music to My Ears: A Material-semiotic Analysis of Fetal Heart Sounds in Midwifery Prenatal Care

2021 ◽  
pp. 016224392110051
Author(s):  
Annekatrin Skeide
Keyword(s):  
Social Sciences ◽  
Prenatal Care ◽  
Fetal Heart ◽  
Well Being ◽  
Analytical Tool ◽  
Semiotic Analysis ◽  
Parental Love ◽  
The Social ◽  
Care Practices ◽  
The Aesthetic

Unlike sonographic examinations, sonic fetal heartbeat monitoring has received relatively little attention from scholars in the social sciences. Using the case of fetal heartbeat monitoring as part of midwifery prenatal care in Germany, this contribution introduces music as an analytical tool for exploring the aesthetic dimensions of obstetrical surveillance practices. Based on ethnographic stories, three orchestrations are compared in which three different instruments help audiences to listen to what becomes fetal heartbeat music and to qualify fetal and pregnant lives in relation to each other. In the Doppler-based orchestration, audible heartbeat music is taken as a sign of a child in need of parental love and care cultivated to listen. The Pinard horn makes esoteric fetal music that can be appreciated by the midwife as a skilled instrumentalist alone and helps to enact a child hidden in the belly. The cardiotocograph brings about soothing music and a reassuring relationship with a child but also durable scripts of juridical beauty. This material-semiotic analysis amplifies how well-being is shaped in midwifery prenatal care practices.

Three-Dimensional Fast Acquisition With Sonographically Based Volume Computer-Aided Analysis for Imaging of the Fetal Heart at 18 to 22 Weeks' Gestation

2010 ◽  
Vol 29 (5) ◽  
pp. 751-757 ◽  
Author(s):  
Leeber Cohen ◽  
Kristie Mangers ◽  
William A. Grobman ◽  
Nina Gotteiner ◽  
Svena Julien ◽  
...  
Keyword(s):  
Fetal Heart ◽  
Three Dimensional ◽  
Fast Acquisition ◽  
Computer Aided Analysis ◽  
Computer Aided

Computer Aided Modeling and Finite Element Analysis of Human Elbow

2016 ◽  
Vol 5 (1) ◽  
pp. 31-38
Author(s):  
Arpan Gupta ◽  
O.P. Singh
Keyword(s):  
Finite Element ◽  
Research Work ◽  
Well Being ◽  
Computer Aided Engineering ◽  
Weight Lifting ◽  
Patient Specific ◽  
Element Analysis ◽  
Detailed Model ◽  
Computer Aided ◽  
Safe Load

Finite element modeling (FEM) plays a significant role in the design of various devices in the engineering field of automotive, aerospace, defense etc. In the recent past, FEM is assisting engineers and healthcare professional in analyzing and designing various medical devices with advanced functionality. Computer aided engineering can predict failure circumstances, which can be avoided for the health and well-being of people. In this research work, computer aided engineering analysis of human elbow is presented beginning with modeling of human elbow from medical image data, and predicting the stresses in elbow during carrying heavy loads. The analysis is performed by using finite element method. The results predict the stress level and displacement in the human bone during heavy weight lifting. Thus, it can be used to predict the safe load that a particular person can carry without bone injury. The present analysis focused on a particular model of bone for a particular individual. However, safe load can be determined for various age groups by generating more detailed model including tendons, ligaments and by using patient specific material properties.

scholarly journals A quality enhanced preprocessing method for mammogram ROI extraction

2018 ◽  
Vol 7 (2.25) ◽  
pp. 133
Author(s):  
T R. Thamizhvani ◽  
Bincy Babu ◽  
A Josephin Arockia Dhivya ◽  
R J. Hemalatha ◽  
Josline Elsa Joseph ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Screening Test ◽  
Region Of Interest ◽  
Quality Enhancement ◽  
Cancer Death ◽  
Cad System ◽  
Computer Aided ◽  
Roi Extraction ◽  
Aided Diagnosis

Early detection of breast cancer is necessary because it is considered as one of the most common reason of cancer death among women. Nowadays, the basic screening test for detection of breast cancer is Mammography which con-sists of various artifacts. These artifacts leads to wrong results in detection of breast cancer. Therefore, Computer Aided Diagnosis (CAD) system mainly focus in removal of artifacts and mammogram quality enhancement. By this procedure, exact Region of Interest (ROI) can be obtained. This is a challenging procedure because detection of pecto-ral muscle and cancer region is difficult. Here a comparative study of different preprocessing and enhancement tech-niques are done by testing proposed system on mammogram mini-MIAS database. Result obtained shows that sug-gested system is efficient for CAD system.  

Reference Intervals for Fetal Heart Volume From 3-Dimensional Sonography Using the Extended Imaging Virtual Organ Computer-Aided Analysis Method at Gestational Ages of 20 to 34 Weeks

2012 ◽  
Vol 31 (5) ◽  
pp. 673-678 ◽  
Author(s):  
Enoch Quinderé de Sá Barreto ◽  
Hérbene José Figuinha Milani ◽  
Karina Krajden Haratz ◽  
Edward Araujo ◽  
Luciano Marcondes Machado Nardozza ◽  
...  
Keyword(s):  
Fetal Heart ◽  
Reference Intervals ◽  
Analysis Method ◽  
Heart Volume ◽  
3 Dimensional ◽  
Computer Aided Analysis ◽  
Computer Aided
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