Cargando…

Improved vessel–tissue contrast and image quality in 3D radial sampling‐based 4D‐MRI

PURPOSE: In radiation treatment planning for thoracic and abdominal tumors, 4D‐MRI has shown promise in respiratory motion characterization with improved soft‐tissue contrast compared to clinical standard, 4D computed tomography (4D‐CT). This study aimed to further improve vessel–tissue contrast and...

Descripción completa

Detalles Bibliográficos
Autores principales: Deng, Zixin, Yang, Wensha, Pang, Jianing, Bi, Xiaoming, Tuli, Richard, Li, Debiao, Fan, Zhaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689937/
https://www.ncbi.nlm.nih.gov/pubmed/28980395
http://dx.doi.org/10.1002/acm2.12194
_version_ 1783279491049586688
author Deng, Zixin
Yang, Wensha
Pang, Jianing
Bi, Xiaoming
Tuli, Richard
Li, Debiao
Fan, Zhaoyang
author_facet Deng, Zixin
Yang, Wensha
Pang, Jianing
Bi, Xiaoming
Tuli, Richard
Li, Debiao
Fan, Zhaoyang
author_sort Deng, Zixin
collection PubMed
description PURPOSE: In radiation treatment planning for thoracic and abdominal tumors, 4D‐MRI has shown promise in respiratory motion characterization with improved soft‐tissue contrast compared to clinical standard, 4D computed tomography (4D‐CT). This study aimed to further improve vessel–tissue contrast and overall image quality in 3D radial sampling‐based 4D‐MRI using a slab‐selective (SS) excitation approach. METHODS: The technique was implemented in a 3D radial sampling with self‐gating‐based k‐space sorting sequence. The SS excitation approach was compared to a non‐selective (NS) approach in six cancer patients and two healthy volunteers at 3T. Improvements in vessel–tissue contrast ratio (CR) and vessel signal‐to‐noise ratio (SNR) were analyzed in five of the eight subjects. Image quality was visually assessed in all subjects on a 4‐point scale (0: poor; 3: excellent). Tumor (patients) and pancreas (healthy) motion trajectories were compared between the two imaging approaches. RESULTS: Compared with NS‐4D‐MRI, SS‐4D‐MRI significantly improved the overall vessel–tissue CR (2.60 ± 3.97 vs. 1.03 ± 1.44, P < 0.05), SNR (63.33 ± 38.45 vs. 35.74 ± 28.59, P < 0.05), and image quality score (2.6 ± 0.5 vs. 1.4 ± 0.5, P = 0.02). Motion trajectories from the two approaches exhibited strong correlation in the superior–inferior (0.96 ± 0.06), but weaker in the anterior–posterior (0.78 ± 0.24) and medial–lateral directions (0.46 ± 0.44). CONCLUSIONS: The proposed 4D‐MRI with slab‐selectively excited 3D radial sampling allows for improved blood SNR, vessel–tissue CR, and image quality.
format Online
Article
Text
id pubmed-5689937
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-56899372018-02-08 Improved vessel–tissue contrast and image quality in 3D radial sampling‐based 4D‐MRI Deng, Zixin Yang, Wensha Pang, Jianing Bi, Xiaoming Tuli, Richard Li, Debiao Fan, Zhaoyang J Appl Clin Med Phys Medical Imaging PURPOSE: In radiation treatment planning for thoracic and abdominal tumors, 4D‐MRI has shown promise in respiratory motion characterization with improved soft‐tissue contrast compared to clinical standard, 4D computed tomography (4D‐CT). This study aimed to further improve vessel–tissue contrast and overall image quality in 3D radial sampling‐based 4D‐MRI using a slab‐selective (SS) excitation approach. METHODS: The technique was implemented in a 3D radial sampling with self‐gating‐based k‐space sorting sequence. The SS excitation approach was compared to a non‐selective (NS) approach in six cancer patients and two healthy volunteers at 3T. Improvements in vessel–tissue contrast ratio (CR) and vessel signal‐to‐noise ratio (SNR) were analyzed in five of the eight subjects. Image quality was visually assessed in all subjects on a 4‐point scale (0: poor; 3: excellent). Tumor (patients) and pancreas (healthy) motion trajectories were compared between the two imaging approaches. RESULTS: Compared with NS‐4D‐MRI, SS‐4D‐MRI significantly improved the overall vessel–tissue CR (2.60 ± 3.97 vs. 1.03 ± 1.44, P < 0.05), SNR (63.33 ± 38.45 vs. 35.74 ± 28.59, P < 0.05), and image quality score (2.6 ± 0.5 vs. 1.4 ± 0.5, P = 0.02). Motion trajectories from the two approaches exhibited strong correlation in the superior–inferior (0.96 ± 0.06), but weaker in the anterior–posterior (0.78 ± 0.24) and medial–lateral directions (0.46 ± 0.44). CONCLUSIONS: The proposed 4D‐MRI with slab‐selectively excited 3D radial sampling allows for improved blood SNR, vessel–tissue CR, and image quality. John Wiley and Sons Inc. 2017-10-04 /pmc/articles/PMC5689937/ /pubmed/28980395 http://dx.doi.org/10.1002/acm2.12194 Text en © 2017 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Medical Imaging
Deng, Zixin
Yang, Wensha
Pang, Jianing
Bi, Xiaoming
Tuli, Richard
Li, Debiao
Fan, Zhaoyang
Improved vessel–tissue contrast and image quality in 3D radial sampling‐based 4D‐MRI
title Improved vessel–tissue contrast and image quality in 3D radial sampling‐based 4D‐MRI
title_full Improved vessel–tissue contrast and image quality in 3D radial sampling‐based 4D‐MRI
title_fullStr Improved vessel–tissue contrast and image quality in 3D radial sampling‐based 4D‐MRI
title_full_unstemmed Improved vessel–tissue contrast and image quality in 3D radial sampling‐based 4D‐MRI
title_short Improved vessel–tissue contrast and image quality in 3D radial sampling‐based 4D‐MRI
title_sort improved vessel–tissue contrast and image quality in 3d radial sampling‐based 4d‐mri
topic Medical Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689937/
https://www.ncbi.nlm.nih.gov/pubmed/28980395
http://dx.doi.org/10.1002/acm2.12194
work_keys_str_mv AT dengzixin improvedvesseltissuecontrastandimagequalityin3dradialsamplingbased4dmri
AT yangwensha improvedvesseltissuecontrastandimagequalityin3dradialsamplingbased4dmri
AT pangjianing improvedvesseltissuecontrastandimagequalityin3dradialsamplingbased4dmri
AT bixiaoming improvedvesseltissuecontrastandimagequalityin3dradialsamplingbased4dmri
AT tulirichard improvedvesseltissuecontrastandimagequalityin3dradialsamplingbased4dmri
AT lidebiao improvedvesseltissuecontrastandimagequalityin3dradialsamplingbased4dmri
AT fanzhaoyang improvedvesseltissuecontrastandimagequalityin3dradialsamplingbased4dmri