Name
Title | ||
|---|---|---|
A Direct PCA-Based Approach for Real-Time Description of Physiological Organ Deformations |
Abstract | ||
|---|---|---|
Dynamic magnetic resonance (MR)-imaging can provide functional and positional information in real-time, which can be conveniently used online to control a cancer therapy, e.g., using high intensity focused ultrasound or radio therapy. However, a precise real-time correction for motion is fundamental in abdominal organs to ensure an optimal treatment dose associated with a limited toxicity in nearby organs at risk. This paper proposes a real-time direct principal component analysis (PCA)-based technique which offers a robust approach for motion estimation of abdominal organs and allows correcting motion related artifacts. The PCA was used to detect spatio-temporal coherences of the periodic organ motion in a learning step. During the interventional procedure, physiological contributions were characterized quantitatively using a small set of parameters. A coarse-to-fine resolution scheme is proposed to improve the stability of the algorithm and afford a predictable constant latency of 80 ms. The technique was evaluated on 12 free-breathing volunteers and provided an improved real-time description of motion related to both breathing and cardiac cycles. A reduced learning step of 10 s was sufficient without any need for patient-specific control parameters, rendering the method suitable for clinical use. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TMI.2014.2371995 | Medical Imaging, IEEE Transactions |
Keywords | Field | DocType |
biological organs,biomedical mri,cancer,cardiology,motion estimation,pneumodynamics,principal component analysis,spatiotemporal phenomena,mr imaging,pca-based technique,abdominal organ motion estimation,breathing cycle,cancer therapy,cardiac cycle,coarse-to-fine resolution scheme,dynamic magnetic resonance imaging,optimal treatment dose,periodic organ motion detection,physiological organ deformation,real-time description,motion analysis,real-time system,physiology,real time system,minimization,real time systems | Computer vision,Organ Motion,Real-time operating system,Breathing,Artificial intelligence,Motion estimation,Motion analysis,Rendering (computer graphics),Optical flow,Principal component analysis,Mathematics | Journal |
Volume | Issue | ISSN |
34 | 4 | 0278-0062 |
Citations | PageRank | References |
6 | 0.64 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baudouin Denis de Senneville | 1 | 12 | 2.37 |
| Abdallah El Hamidi | 2 | 6 | 0.64 |
| Chrit T. W. Moonen | 3 | 47 | 12.20 |