Multimodality image fusion method for guiding minimally invasive surgery in prostate cancer

2016 ◽  
Vol 42 (11) ◽  
pp. S219
Author(s):  
Jyothsna Divyananda ◽  
Hu Xu ◽  
Ghulam Nabi
Keyword(s):  
Prostate Cancer ◽  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Image Fusion ◽  
Invasive Surgery ◽  
Fusion Method ◽  
Multimodality Image ◽  
Multimodality Image Fusion ◽  
Image Fusion Method

scholarly journals Using IVIM Parameters to Differentiate Prostate Cancer and Contralateral Normal Tissue through Fusion of MRI Images with Whole-Mount Pathology Specimen Images by Control Point Registration Method

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2340
Author(s):  
Cheng-Chun Lee ◽  
Kuang-Hsi Chang ◽  
Feng-Mao Chiu ◽  
Yen-Chuan Ou ◽  
Jen-I. Hwang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Image Fusion ◽  
Normal Tissue ◽  
Control Point ◽  
Fusion Method ◽  
Registration Method ◽  
Whole Mount ◽  
Mri Scans ◽  
Pathology Specimen ◽  
Image Fusion Method

The intravoxel incoherent motion (IVIM) model may enhance the clinical value of multiparametric magnetic resonance imaging (mpMRI) in the detection of prostate cancer (PCa). However, while past IVIM modeling studies have shown promise, they have also reported inconsistent results and limitations, underscoring the need to further enhance the accuracy of IVIM modeling for PCa detection. Therefore, this study utilized the control point registration toolbox function in MATLAB to fuse T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) MRI images with whole-mount pathology specimen images in order to eliminate potential bias in IVIM calculations. Sixteen PCa patients underwent prostate MRI scans before undergoing radical prostatectomies. The image fusion method was then applied in calculating the patients’ IVIM parameters. Furthermore, MRI scans were also performed on 22 healthy young volunteers in order to evaluate the changes in IVIM parameters with aging. Among the full study cohort, the f parameter was significantly increased with age, while the D* parameter was significantly decreased. Among the PCa patients, the D and ADC parameters could differentiate PCa tissue from contralateral normal tissue, while the f and D* parameters could not. The presented image fusion method also provided improved precision when comparing regions of interest side by side. However, further studies with more standardized methods are needed to further clarify the benefits of the presented approach and the different IVIM parameters in PCa characterization.

Minimally Invasive Surgery in Prostate Cancer

2005 ◽  
Vol 11 (5) ◽  
pp. 355-361 ◽  
Author(s):  
Bulent Akduman ◽  
Al Baha Barqawi ◽  
E. David Crawford
Keyword(s):  
Prostate Cancer ◽  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Invasive Surgery
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