Journal of Health & Medical Informatics

ISSN: 2157-7420

Open Access

Hualiang Zhong

Hualiang Zhong

Hualiang Zhong
Department of Radiation Oncology
Henry Ford Health System, Detroit, Michigan, USA


Hualing interests went on in Computer aided modeling of anatomic deformation, allowing various techniques and protocols in radiation therapy to be systematically verified and studied, has become increasingly attractive. In this study the potential issues in deformable image registration (DIR) were analyzed based on two numerical phantoms: One, a synthesized, low intensity gradient prostate image, and the other a lung patients CT image data set. Each phantom was modeled with region-specific material parameters with its deformation solved using a finite element method. The resultant displacements were used to construct a benchmark to quantify the displacement errors of the Demons and B-Spline-based registrations. The results show that the accuracy of these registration algorithms depends on the chosen parameters, the selection of which is closely associated with the intensity gradients of the underlying images.

Research Interest

Hualing research Interests includes computer aided modeling of anatomic deformation.

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