NDLI: Automated material map generation from MRI scout pairs for preclinical PET attenuation correction

Content Provider	IEEE Xplore Digital Library
Author	Bandi, P. Zsoter, N. Koncz, P. Babos, M. Hobor, S. Mathe, D. Papp, L.
Copyright Year	2012
Description	Author affiliation: Mediso Med. Imaging Syst. Ltd., Budapest, Hungary (Bandi, P.; Zsoter, N.; Koncz, P.; Babos, M.; Hobor, S.; Papp, L.) \|\| CROmed Res. Ltd., Budapest, Hungary (Mathe, D.)
Abstract	A novel method is presented to perform material map segmentation from preclinical MRI for corresponding PET attenuation correction. MRI does not provide attenuation ratio, hence segmenting a material map from it is challenging. Furthermore the MRI images often suffer from ghost artifacts. On the contrary MRI has no radiation dose. Our method operated with fast spin echo scout pairs that had perpendicular frequency directions. This way the direction of the ghost artifacts were perpendicular as well. Our body-air segmentation method built on this a priori information and successfully erased the ghost artifacts from the final binary mask. Visual and quantitative validation was performed by two preclinical specialists. Results indicate that our method is effective against MRI scout ghost artifacts and that PET attenuation correction based on MRI makes sense even on preclinical images.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	5351
Ending Page	5354
File Size	1136859
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Positron emission tomography Computed tomography Materials Attenuation Image segmentation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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

Automated PET/CT brain registration for accurate attenuation correction

MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT

Photon attenuation correction in whole-body PET/MRI using tissue classification

PET-CT based automated lung nodule detection

Impact of using different tissue classes on the accuracy of MR-based attenuation correction in PET-MRI

Segmentation of small animal PET/CT mouse brain scans using an MRI-based 3D digital atlas

Automated Classification of Bone and Air Volumes for Hybrid PET-MRI Brain Imaging

Automated liver segmentation for whole-body low-contrast CT images from PET-CT scanners

Topological segmentation of discrete surfaces

Automated material map generation from MRI scout pairs for preclinical PET attenuation correction

Similar Documents

Automated PET/CT brain registration for accurate attenuation correction

MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT

Photon attenuation correction in whole-body PET/MRI using tissue classification

PET-CT based automated lung nodule detection

Impact of using different tissue classes on the accuracy of MR-based attenuation correction in PET-MRI

Segmentation of small animal PET/CT mouse brain scans using an MRI-based 3D digital atlas

Automated Classification of Bone and Air Volumes for Hybrid PET-MRI Brain Imaging

Automated liver segmentation for whole-body low-contrast CT images from PET-CT scanners

Topological segmentation of discrete surfaces

Automated material map generation from MRI scout pairs for preclinical PET attenuation correction