Student Projects

cancel
Showing results for 
Search instead for 
Did you mean: 

Image Reconstruction and processing for portable MRI

*Visit the official "Submit Entry" page to enter your NI LabVIEW student design project in the competition*


*Please add your country to the title of your project, example: Amazing Robot Project, Poland.

Contact Information

University: Korea University, Department of Electronics and Information - Medical Imaging System & Science Laboratory

Team Member(s): Chang-Hyun Oh, Jeung-Hoon Seo, Sang-Doc Han, Jeun-Seon Jeong, Jae-Hoon Kim, Sang-Woon Han, Hyun-Ku Lee, Jun-Hyuk Kim,  Min-Gyu Hyeon, Ewi-Don Jeong, Ki-Won Kim, Bum-Seok Kim, Sung-Yeon Cho, Min-Woo Choi, Jeong-Wook Choi, Sung-Min Lee, Sun-Hong Kim, Young-Gyu Lee, Ki-Jeong Bang, Hye-Jin Seong, Do-Hyun Kim, Sun-A Lee, Hyeong-Joo Jo, June-Soo Park, Jae-Mu Kim, Jea-won Huh

Faculty Advisors: Chang-Hyun Oh

Email Address: ohch@korea.ac.kr,jhseo-mri@korea.ac.kr, koreatap@korea.ac.kr, kslove162@korea.ac.kr, allzz@korea.ac.kr, sangwoon088@korea.ac.kr, fufuru09@korea.ac.kr,sura6404@korea.ac.krfufuru09@korea.ac.kr, sura6404@korea.ac.kr,fufuru09@korea.ac.krfufuru09@korea.ac.kr, sura6404@korea.ac.kr,, sura6404@korea.ac.kr, rhrlmando@korea.ac.kr, jewidon@korea.ac.kr, supershutank@korea.ac.kr, jewonjewon@korea.ac.kr, kbs7452@korea.ac.kr,syluxury@korea.ac.krkbs7452@korea.ac.kr,syluxury@korea.ac.krkbs7452@korea.ac.krkbs7452@korea.ac.kr,syluxury@korea.ac.kr,syluxury@korea.ac.kr, kingarioo@korea.ac.kr, esuerid@korea.ac.kr, sinsomy@korea.ac.kr, salong@korea.ac.kr, notion114@korea.ac.kr, rlwjd1218@korea.ac.kr, domeuu@korea.ac.kr, dohyun704@korea.ac.kr, lsa1297@korea.ac.kr, shutupcj@korea.ac.kr, pjsu21@korea.ac.kr, myper@korea.ac.kr

Country: Korea

Project Information

Title: Image Reconstruction and processing for portable MRI
Description: As a part of a small portable MRI system with a labview-oriented console and spectrometer, we have developed a package to reconstruct MR images and to improve images.

Products:

(1) Labview Software with 2010

(2) RIO (NI) SBRIO -9602

(3) RF unit (Radio Processor and NI USRP-2920)

The Challenge: (1) Spectrometer for MRI : ( i) with low frequency signal outputs (three, DC to 5 kHz signals) (ii) RF outputs (approximately 100 kHz to 100 MHz arbitrary waveform generator) (iii) RF inputs with a frequency same as (ii) to be demodulated and used as a raw data to reconstruct MR images. (iv) Post processing software for MR images

The Solution:

<insert explanation of how your project works>

(1) Hardware driving software (RF and gradient signal)

(2) Hardware acquisition software (RF)

(3) 3-D reconstruction for for MRI (3-D Fourier transform program with various options)

(4) Image processing software to enhance and understand MR images.

<insert explanation of the benefits gained using LabVIEW and NI tools>

(1) Hardware Accessibility

(2) Easy to understand complex digital image processing and Reconstruction Algorithm

(3) Good as a starting project to develop systems with more options such as medical imaging systems with more complexity. (later in a company etc.)

<insert image(s) of project with captions>

11.png

                              Target MRI system

1.png

                                                                 

Inside view of the system showing the magnet, gradient/shimming coil and RF coil to acquire MR signals

2.png

     Picture of the magnet and shim/gradient coils

3.png4.jpg

                              Cassette-Type shim-gradient coil

<reminder: attach VI code (optional)>

(1) Explanation and Source Code for 3-D MRI Reconstruction:

Explanation: 3-D MR image reconstruction is done using a 3-D discrete Fourier tranform with various optional parameters such as zero-appending options, filtering options, image direction change, and selection options with various ROIs.

111.png그림1.png      222.png

                                      VI Code                                                       2-D MRI Reconstruction Image                                   3-D MRI Reconstruction Image

(2) List of Processing Methods for MR images and some of source code

List:

a.  Image Negatives

그림2.png1111.png

                                         VI Code                               original Image                  porcessed Image

b. Gamma and Log compensation

그림4.jpg그림5.jpg그림7.jpg그림12.png

                                                                      VI Code                                                   original Image        porcessed Image

c. Contrast Stretching

그림5.jpg그림6.jpg그림10.jpg

                                                                         VI Code                                                                 original Image                   porcessed Image

d. Making Basic Image Types

그림1222.png그림22.png

                                                            VI Code                                                                 top original Image   bottom porcessed Image

e. Histogram Equalization

그림8.png0000.png

    

                                         VI Code                                                                 original Image                   porcessed Image

f. Laplacian

그림1.pngra.png

                                                                    VI Code                                                                             original Image                   porcessed Image

g. Unsharp Masking

un.pngnoname01.bmp그림10.jpg

                                                                                      VI Code                                                                 original Image                   porcessed Image

h. Gradient

gr.png그림11.pnggr1.png

                                                                    VI Code                           original Image                                              porcessed Image

i. Ideal Low Pass Filter

ll.pnglllll.png

                                            VI Code                                                original Image                   porcessed Image

Nominate Your Professor: (optional)

<insert nomination. Does your professor use LabVIEW or other National Instruments technology to make learning difficult concepts engaging, interesting, and fun? If so, nominate him/her as an outstanding educator by telling us who they are, what they teach, and how they make learning a better experience for you.>

Comments
Xiaoqiang2012
Member
Member
on

Great work I had ever see.

Contributors