Automatic generation of fetal ultrasound report
Date of Publication
2007
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Jose Ronello T. Bartolome
Defense Panel Chair
Nelson Marcos
Defense Panel Member
Rigan P. Ap-Apid
Abstract/Summary
This presents a program simulation of automatic detection and measurement of fetal characteristics present in an ultrasound image. The program aims to aid medical radiologists in dealing with the measurement of fetal ultrasound images by determining and automating the process of measuring the fetal characteristics present from an input ultrasound scan. Performing different image processing methods such as image enhancement, noise reduction and feature extraction does this process. Different algorithms are tested to come up with the automated scheme. Some of the algorithms that were experimented on includes: thresholding, template matching, blobs and active contours. The input image goes through successive process such as auto-leveling to enhance the brightness and contrast of the colors, grayscale image format conversion to quantize the colors and noise reduction to reduce unwanted parts in an image. After which, the program extracts the specified fetal characteristic from the cleaned image and proceeds into the measurement phase. The program is able to measure the major fetal characteristics necessary in monitoring the fetal growth, which are the crown rump length, biparietal diameter, head circumference, abdominal circumference and femur length. The simulation outputs a report, which contains the measurements obtained by the program generated from the set of input ultrasound, scans.
Abstract Format
html
Language
English
Format
Accession Number
TU14618
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Recommended Citation
Aliento, J., Cabral, M., Mitra, K., & Rivera, G. (2007). Automatic generation of fetal ultrasound report. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14410