SU-F-303-09: Identifying Abdominal Inter-Organ Motion Correlations Using 4D-MRI and 4D-Image Registration

2015 ◽  
Vol 42 (6Part26) ◽  
pp. 3539-3539
Author(s):  
Y Yue ◽  
Z Fan ◽  
Z Deng ◽  
J Pang ◽  
J DeMarco ◽  
...  
Keyword(s):  
Image Registration ◽  
Organ Motion ◽  
4D Mri

scholarly journals Non-rigid image registration of 4D-MRI data for improved delineation of moving tumors 

2020 ◽  
Author(s):  
Stefan Weick ◽  
Kathrin Breuer ◽  
Anne Richter ◽  
Florian Exner ◽  
Serge-Peer Ströhle ◽  
...  
Keyword(s):  
Image Quality ◽  
Image Registration ◽  
Coefficient Of Variation ◽  
Regions Of Interest ◽  
Qualitative Assessment ◽  
Data Sets ◽  
Target Delineation ◽  
Tumor Delineation ◽  
4D Mri

Abstract Background: To increase the image quality of end-expiratory and end-inspiratory phases of retrospective respiratory self-gated 4D MRI data sets using non-rigid image registration for improved target delineation of moving tumors.Methods: End-expiratory and end-inspiratory phases of volunteer and patient 4D MRI data sets are used as targets for non-rigid image registration of all other phases using two different registration schemes: In the first, all phases are registered directly (dir-Reg) while next neighbors are successively registered until the target is reached in the second (nn-Reg). Resulting data sets are quantitatively compared using diaphragm and tumor sharpness and the coefficient of variation of regions of interest in the lung, liver, and heart. Qualitative assessment of the patient data regarding noise level, tumor delineation, and overall image quality was performed by blinded reading based on a 4 point Likert scale.Results: The median coefficient of variation was lower for both registration schemes compared to the target. Median dir-Reg coefficient of variation of all ROIs was 5.6 % lower for expiration and 7.0 % lower for inspiration compared with nn-Reg. Statistical significant differences between the two schemes were found in all comparisons. Median sharpness in inspiration is lower compared to expiration sharpness in all cases. Registered data sets were rated better compared to the targets in all categories. Over all categories, mean expiration scores were 2.92 ± 0.18 for the target, 3.19 ± 0.22 for nn-Reg and 3.56 ± 0.14 for dir-Reg and mean inspiration scores 2.25 ± 0.12 for the target, 2.72 ± 215 0.04 for nn-Reg and 3.78 ± 0.04 for dir-Reg.Conclusions: In this work, end-expiratory and inspiratory phases of a 4D MRI data sets are used as targets for non-rigid image registration of all other phases. It is qualitatively and quantitatively shown that image quality of the targets can be significantly enhanced leading to improved target delineation of moving tumors.

Quantification of organ motion during conformal radiotherapy of the prostate by three dimensional image registration

1995 ◽  
Vol 33 (5) ◽  
pp. 1311-1320 ◽  
Author(s):  
Marcel van Herk ◽  
Allison Bruce ◽  
A.P. Guus Kroes ◽  
Tarek Shouman ◽  
Adriaan Touw ◽  
...  
Keyword(s):  
Image Registration ◽  
Three Dimensional ◽  
Conformal Radiotherapy ◽  
Organ Motion ◽  
Dimensional Image

scholarly journals Improving Tumor-to-Tissue CNR of 4D-MRI Using Deformable Image Registration

2013 ◽  
Vol 3 (2) ◽  
pp. S8-S9
Author(s):  
J. Cai ◽  
Z. Chang ◽  
B. Czito ◽  
F. Yin
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
4D Mri

Real-time organ motion tracking and fast image registration system for MRI-guided surgery

2005 ◽  
Vol 37 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Junichi Tokuda ◽  
Masaya Hirano ◽  
Tetsuji Tsukamoto ◽  
Takeyoshi Dohi ◽  
Nobuhiko Hata
Keyword(s):  
Image Registration ◽  
Real Time ◽  
Motion Tracking ◽  
Organ Motion ◽  
Registration System ◽  
Guided Surgery ◽  
Mri Guided

scholarly journals Discontinuity Preserving Image Registration through Motion Segmentation: A Primal-Dual Approach

2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
Silja Kiriyanthan ◽  
Ketut Fundana ◽  
Tahir Majeed ◽  
Philippe C. Cattin
Keyword(s):  
Image Registration ◽  
Medical Image ◽  
Motion Segmentation ◽  
Medical Image Analysis ◽  
Organ Motion ◽  
Mr Images ◽  
Clinical Routine ◽  
Dual Approach ◽  
Sliding Motion ◽  
Primal Dual

Image registration is a powerful tool in medical image analysis and facilitates the clinical routine in several aspects. There are many well established elastic registration methods, but none of them can so far preserve discontinuities in the displacement field. These discontinuities appear in particular at organ boundaries during the breathing induced organ motion. In this paper, we exploit the fact that motion segmentation could play a guiding role during discontinuity preserving registration. The motion segmentation is embedded in a continuous cut framework guaranteeing convexity for motion segmentation. Furthermore we show that a primal-dual method can be used to estimate a solution to this challenging variational problem. Experimental results are presented for MR images with apparent breathing induced sliding motion of the liver along the abdominal wall.

MO-C-17A-02: A Novel Method for Evaluating Hepatic Stiffness Based On 4D-MRI and Deformable Image Registration

2014 ◽  
Vol 41 (6Part24) ◽  
pp. 414-414
Author(s):  
T Cui ◽  
X Liang ◽  
B Czito ◽  
M Palta ◽  
M Bashir ◽  
...  
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
4D Mri ◽  
Novel Method

SU-D-207A-06: Pediatric Abdominal Organ Motion Quantified Via a Novel 4D MRI Method

2016 ◽  
Vol 43 (6Part4) ◽  
pp. 3344-3344
Author(s):  
J Uh ◽  
MJ Krasin ◽  
JT Lucas ◽  
C Tinkle ◽  
TE Merchant ◽  
...  
Keyword(s):  
Organ Motion ◽  
Abdominal Organ ◽  
4D Mri
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