Support vector machine based high intensity focused ultrasound beam lesion degree classification and recognition / 生物医学工程学杂志

Ultrasound based tissue thermal lesion non-invasive detection is of great significance in high intensity focused ultrasound (HIFU) clinical application. In this paper, we propose a sub-pixel method to quantify the ultrasound image change caused by HIFU as correlation-distance. The support vector machine (SVM) was trained by using correlation distance as samples, and the recognition effect was tested. Results showed that sub-pixel cross-correlation vector field could reflect the ablation lesions position. SVM based classification method can recognize HIFU beam lesion degree effectively.

A Theoretical Model for Targeting Therapy With the Particles of the Paramagnetic Nanometers-iron Nuclide Guided by Outside Magnetic Field / 中国医学物理学杂志

A theoretical model for the magnetic forces on ferromagnetic drug particles in a guiding magnetic field is established with the consideration of the electromagnetic field theory. Our model shows that the ferromagnetic drug particles can concentrate on the targeted area with the guidance of the outside magnetic field. Both the distribution of the intensity of the guiding magnetic field and the forces on ferromagnetic drug particles are studied numerically. The theoretical results are in good agreement with the experimental results reported recently.

3D reconstruction of HIFU lesion area based on level set / 医疗卫生装备

Objective To design a computer aided method in HIFU treatment system to monitor the size,shape and location of HIFU lesion automatically.Methods According to ultrasound image's characters of high noise,low resolution and weak edge,a double zero level set,double speed approach was proposed to extract the contour of organ and lesion area.The serial "lice" contours were used to reconstruct three dimension(3D) HIFU lesion area in the sample.Results Experiments show that level set contour extraction method based 3D reconstruction is helpful in monitoring the size,shape and location in the organ.Conclusion This method has the feasibility to be introduced as an auxiliary technique monitoring HIFU lesion area automatically.