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A Direct PCA-Based Approach for Real-Time Description of Physiological Organ Deformations
- Source :
- IEEE Transactions on Medical Imaging, 34(4), 974. Institute of Electrical and Electronics Engineers Inc., IEEE Transactions on Medical Imaging, IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, 34 (4), pp.974-982. ⟨10.1109/TMI.2014.2371995⟩
- Publication Year :
- 2015
-
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.
- Subjects :
- Motion analysis
Computer science
Movement
Optical flow
Image processing
Kidney
Research Support
INTENSITY FOCUSED ULTRASOUND
THERAPY
030218 nuclear medicine & medical imaging
Rendering (computer graphics)
Machine Learning
03 medical and health sciences
0302 clinical medicine
Organ Motion
Motion estimation
Image Processing, Computer-Assisted
Journal Article
Humans
Computer vision
Electrical and Electronic Engineering
Non-U.S. Gov't
Lung
ABDOMINAL ORGANS
Principal Component Analysis
Radiological and Ultrasound Technology
business.industry
OPTICAL-FLOW
Research Support, Non-U.S. Gov't
MOTION CORRECTION
Heart
MR-THERMOMETRY
Magnetic Resonance Imaging
Computer Science Applications
030220 oncology & carcinogenesis
Principal component analysis
real-time system
Artificial intelligence
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Algorithms
Software
Subjects
Details
- Language :
- English
- ISSN :
- 02780062
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Medical Imaging, 34(4), 974. Institute of Electrical and Electronics Engineers Inc., IEEE Transactions on Medical Imaging, IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, 34 (4), pp.974-982. ⟨10.1109/TMI.2014.2371995⟩
- Accession number :
- edsair.doi.dedup.....86fb319f1204695ed2a805620e60a2d9