An improved OPDT model in high angular resolution diffusion imaging

	An improved OPDT model in high angular resolution diffusion imaging
	Zhang, Na 1,2; Li, Chong 1; Jiang, Tianzi2
发表期刊	JOURNAL OF MATHEMATICAL IMAGING AND VISION
	2014-03-01
卷号	48 期号:3 页码:385-395
文章类型	Article
摘要	Orientation probability density transform (OPDT) is a single-shell high angular resolution diffusion imaging (HARDI) estimator proposed by Tristan-Vega et al. for orientation probability density function (OPDF), i.e. marginal orientation distribution function (ODF) of white matter fibers in the brain. Unlike ODF in Q-Ball imaging (QBI), the Jacobian of the spherical coordinate is included in OPDF. OPDT is based on the Funk-Radon transform (FRT), so there is blurring introduced by FRT. Aganj et al. have proved that the radial part of the OPDF equals a constant, which is independent of the diffusion signal. With this consideration, we propose an improved form of OPDT with a closed form expression, which can reduce the FRT blurring in OPDT by replacing the radial part (a non-constant function) with its mean value over the sphere. Compared with OPDT, the proposed FRT-based single-shell HARDI estimator improves the angular resolution, and almost maintains the higher angular accuracy, robustness to noise and computational efficiency. Results on synthetic data and real human brain data are provided to demonstrate the effectiveness of the proposed model.
关键词	Orientation Distribution Function (Odf) Diffusion-magnetic Resonance Imaging (Dmri) High Angular Resolution Diffusion Imaging (Hardi) Funk-radon Transform (Frt)
WOS标题词	Science & Technology ; Technology ; Physical Sciences
关键词[WOS]	SPHERICAL DECONVOLUTION ; FIBER ORIENTATIONS ; WEIGHTED MRI ; TENSOR ; PRINCIPLES ; PROPAGATOR
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Mathematics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Mathematics, Applied
WOS记录号	WOS:000332459300002
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3207
专题	脑图谱与类脑智能实验室_脑网络组研究
作者单位	1.Zhejiang Univ, Dept Math, Hangzhou 310027, Zhejiang, Peoples R China 2.Chinese Acad Sci, Ctr Computat Med, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhang, Na,Li, Chong,Jiang, Tianzi. An improved OPDT model in high angular resolution diffusion imaging[J]. JOURNAL OF MATHEMATICAL IMAGING AND VISION,2014,48(3):385-395.
APA	Zhang, Na,Li, Chong,&Jiang, Tianzi.(2014).An improved OPDT model in high angular resolution diffusion imaging.JOURNAL OF MATHEMATICAL IMAGING AND VISION,48(3),385-395.
MLA	Zhang, Na,et al."An improved OPDT model in high angular resolution diffusion imaging".JOURNAL OF MATHEMATICAL IMAGING AND VISION 48.3(2014):385-395.