Name
Title | ||
|---|---|---|
Co-Sparse Analysis Model Based Image Registration to Compensate Brain Shift by Using Intra-Operative Ultrasound Imaging. |
Abstract | ||
|---|---|---|
Notwithstanding the widespread use of image guided neurosurgery systems in recent years, the accuracy of these systems is strongly limited by the intra-operative deformation of the brain tissue, the so-called brain shift. Intra-operative ultrasound (iUS) imaging as an effective solution to compensate complex brain shift phenomena update patients coordinate during surgery by registration of the intra-operative ultrasound and the pre-operative MRI data that is a challenging problem.In this work a non-rigid multimodal image registration technique based on co-sparse analysis model is proposed. This model captures the interdependency of two image modalities; MRI as an intensity image and iUS as a depth image. Based on this model, the transformation between the two modalities is minimized by using a bimodal pair of analysis operators which are learned by optimizing a joint co-sparsity function using a conjugate gradient.Experimental validation of our algorithm confirms that our registration approach outperforms several of other state-of-the-art registration methods quantitatively. The evaluation was performed using seven patient dataset with the mean registration error of only 1.83 mm. Our intensity-based co-sparse analysis model has improved the accuracy of non-rigid multimodal medical image registration by 15.37% compared to the curvelet based residual complexity as a powerful registration method, in a computational time compatible with clinical use. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/EMBC.2018.8512375 | EMBC |
Field | DocType | Volume |
Computer vision,Residual,Medical imaging,Computer science,Artificial intelligence,Operative ultrasound,Image registration,Curvelet,Ultrasound,Brain tissue,Magnetic resonance imaging | Conference | 2018 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Parastoo Farnia | 1 | 25 | 4.03 |
| E. Najafzadeh | 2 | 0 | 0.34 |
| A. H. Ahmadian | 3 | 0 | 0.34 |
| Bahador Makkiabadi | 4 | 53 | 8.92 |
| Meysam Alimohamadi | 5 | 0 | 0.34 |
| Javad Alirezaie | 6 | 100 | 18.42 |