Computer Aided Diagnosis on customized Ultrasound Imaging system

Akkala, V (2015) Computer Aided Diagnosis on customized Ultrasound Imaging system. Masters thesis, Indian Institute of Technology Hyderabad.

[img] Text
EE12M1041.pdf - Submitted Version
Restricted to Registered users only until 1 July 2018.

Download (5MB) | Request a copy

Abstract

This thesis seeks implementation of mid end, back end algorithms to develop ultrasound imaging system and computer aided diagnosis for kidney. Integration of new algorithms onto present ultra-sound system is not possible as they are mostly based on DSPs and FPGAs. Hence firstly, mid end and back-end system has been designed for Kintex 7 FPGA, to replicate present ultrasound system. Later our algorithms related to compression techniques, image contrast enhancement are validated by porting them on to the developed system. The thesis also focuses on diagnosing kidney related problems using ultrasound images. Recent statistics show that there is a large increase in population suffering with kidney related problems. Many a times, detecting the kidney related problem at an early stage can prevent most of these diseases. Some of the major issues in maintaining quality of healthcare services are low doctor to patient ratio in rural areas, unavailability of trained medical professionals in remote areas, infrastructural constraints etc. Computer aided diagnosis helps in solving this issue. Computer aided algorithms can assist semi-skilled sonographers to confidently make decisions, thus improving the quality of healthcare services.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Envelope detection, Log compression, Gamma compression; TD278
Subjects: Computer science > Big Data Analytics
Others > Electronic imaging & Singal processing
Divisions: Department of Electrical Engineering
Depositing User: Library Staff
Date Deposited: 01 Jul 2015 06:44
Last Modified: 06 Aug 2015 06:15
URI: http://raiith.iith.ac.in/id/eprint/1625
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 1625 Statistics for this ePrint Item