NDLI: Feasibility of similarity coefficient map in improving quality of magnetic resonance images of spleen

Content Provider	IEEE Xplore Digital Library
Author	Haoyu Wang Yaoqin Xie Shanglian Bao Jiani Hu
Copyright Year	2013
Description	Author affiliation: Key Lab. of Health Inf., Shenzhen Inst. of Adv. Technol., Shenzhen, China (Yaoqin Xie) \|\| Dept. of Mil. Logistics, Acad. of Mil. Transp., Tianjin, China (Haoyu Wang) \|\| Beijing Key Lab. of Med. Phys. & Eng., Peking Univ., Beijing, China (Shanglian Bao) \|\| Dept. of Radiol., Wayne State Univ., Detroit, MI, USA (Jiani Hu)
Abstract	The purpose of this paper is to investigate the feasibility of similarity coefficient map (SCM) in improving the quality of MR images of spleen by improving signal to noise ratio (SNR) and contrast to noise ratio (CNR), revealing fine structures buried in noise, and integrating the information of each individual image in a series together into one image. To achieve these goals, in vivo experiments were conducted based on the data sets acquired using 12-echo $T_{2}*$ weighted imaging. Preliminary results have demonstrated that compared with the original images, SCM images can (1) improve SNR by 14.50% to 104.44% mainly depending on the SNR in original images, (2) improve CNR by 82.95% to 103.52%, mainly depending on the choice of reference tissue, (3) reveal fine structures hidden in the original images such as tiny veins, and (4) offer a new type of contrast by integrating information of all original images. Moreover, It suggests that the higher the SNR of the reference, the higher the CNR of the resulting SCM images. In conclusion, SCM is a powerful post processing technique for a series of MR images of spleen with varying acquisition parameters. It can improve SNR and CNR, increase the amount of anatomical information by revealing previous invisible fine structures, and produce images with a new type of contrast that integrates information of all original images together.
Sponsorship	IEEE Beijing Sect.
Starting Page	118
Ending Page	121
File Size	234765
Page Count	4
File Format	PDF
e-ISBN	9781467358873
DOI	10.1109/ICMIPE.2013.6864516
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spleen In vivo Similarity coefficient map Veins Magnetic resonance imaging MRI Signal to noise ratio Biomedical imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Exploiting similarity in adjacent slices for compressed sensing MRI

A pulse sequence for improving MRI images

DWT-SVD based reversible watermarking algorithm for embedding the secret data in medical images

A new method to compare image quality in CT and MRI images

Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor

Improving the Discrimination of Benign and Malignant Breast MRI Lesions Using the Apparent Diffusion Coefficient

A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images

Improved bulk rotation detection and correction in MRI

Sparse representation based MRI denoising with total variation

Feasibility of similarity coefficient map in improving quality of magnetic resonance images of spleen

Similar Documents

Exploiting similarity in adjacent slices for compressed sensing MRI

A pulse sequence for improving MRI images

DWT-SVD based reversible watermarking algorithm for embedding the secret data in medical images

A new method to compare image quality in CT and MRI images

Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor

Improving the Discrimination of Benign and Malignant Breast MRI Lesions Using the Apparent Diffusion Coefficient

A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images

Improved bulk rotation detection and correction in MRI

Sparse representation based MRI denoising with total variation

Feasibility of similarity coefficient map in improving quality of magnetic resonance images of spleen