HWFusion: Holoentropy and SP-Whale optimisation-based fusion model for magnetic resonance imaging multimodal image fusion

2018 ◽  
Vol 12 (4) ◽  
pp. 572-581 ◽  
Author(s):  
Patil Hanmant Venkatrao ◽  
Shirbahadurkar Suresh Damodar
2017 ◽  
Vol 120 (2) ◽  
pp. 233-238 ◽  
Author(s):  
Toshitaka Shin ◽  
Thomas B. Smyth ◽  
Osamu Ukimura ◽  
Nariman Ahmadi ◽  
Andre Luis de Castro Abreu ◽  
...  

2004 ◽  
Vol 3 (1) ◽  
Author(s):  
Thorsten Twellmann ◽  
Axel Saalbach ◽  
Olaf Gerstung ◽  
Martin O Leach ◽  
Tim W Nattkemper

2020 ◽  
Vol 19 (5) ◽  
pp. 599-607
Author(s):  
Alexander T Yahanda ◽  
Timothy J Goble ◽  
Peter T Sylvester ◽  
Gretchen Lessman ◽  
Stanley Goddard ◽  
...  

Abstract BACKGROUND Fusion of preoperative and intraoperative magnetic resonance imaging (iMRI) studies during stereotactic navigation may be very useful for procedures such as tumor resections but can be subject to error because of image distortion. OBJECTIVE To assess the impact of 3-dimensional (3D) vs 2-dimensional (2D) image distortion correction on the accuracy of auto-merge image fusion for stereotactic neurosurgical images acquired with iMRI using a head phantom in different surgical positions. METHODS T1-weighted intraoperative images of the head phantom were obtained using 1.5T iMRI. Images were postprocessed with 2D and 3D image distortion correction. These studies were fused to T1-weighted preoperative MRI studies performed on a 1.5T diagnostic MRI. The reliability of the auto-merge fusion of these images for 2D and 3D correction techniques was assessed both manually using the stereotactic navigation system and via image analysis software. RESULTS Eight surgical positions of the head phantom were imaged with iMRI. Greater image distortion occurred with increased distance from isocenter in all 3 axes, reducing accuracy of image fusion to preoperative images. Visually reliable image fusions were accomplished in 2/8 surgical positions using 2D distortion correction and 5/8 using 3D correction. Three-dimensional correction yielded superior image registration quality as defined by higher maximum mutual information values, with improvements ranging between 2.3% and 14.3% over 2D correction. CONCLUSION Using 3D distortion correction enhanced the reliability of surgical navigation auto-merge fusion of phantom images acquired with iMRI across a wider range of head positions and may improve the accuracy of stereotactic navigation using iMRI images.


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