IMAge/enGINE: a freely available software for rapid computation of high-dimensional quantification.
暂无分享,去创建一个
Ming Yang | He Wang | Yaping Yan | He Wang | Yaping Yan | Ming Yang
[1] S. Payabvash. Quantitative diffusion magnetic resonance imaging in head and neck tumors. , 2018, Quantitative imaging in medicine and surgery.
[2] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[3] Bachir Taouli,et al. Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice , 2015, Journal of magnetic resonance imaging : JMRI.
[4] Olaf Dietrich,et al. Technical aspects of MR diffusion imaging of the body. , 2010, European journal of radiology.
[5] D. Le Bihan,et al. Diffusion tensor imaging: Concepts and applications , 2001, Journal of magnetic resonance imaging : JMRI.
[6] Atilla P Kiraly,et al. Hepatocellular carcinoma: response to TACE assessed with semiautomated volumetric and functional analysis of diffusion-weighted and contrast-enhanced MR imaging data. , 2011, Radiology.
[7] J. Helpern,et al. Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging , 2005, Magnetic resonance in medicine.
[8] N Caroline,et al. Hepatocellular carcinoma:response to TACE assessed with semiautomated volumetric and functional analysis of diffusion-weighted and contrast-enhanced MR imaging data , 2011 .
[9] Leif Østergaard,et al. Principles of cerebral perfusion imaging by bolus tracking , 2005, Journal of magnetic resonance imaging : JMRI.
[10] P. Grenier,et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. , 1986, Radiology.
[11] A. Luciani,et al. Liver Cirrhosis : Intravoxel Incoherent Motion MR Imaging — Pilot Study 1 , 2008 .
[12] B. Ardekani,et al. Estimation of tensors and tensor‐derived measures in diffusional kurtosis imaging , 2011, Magnetic resonance in medicine.
[13] Gerald E. York,et al. Creation of DICOM—Aware Applications Using ImageJ , 2005, Journal of Digital Imaging.
[14] Bradford A Moffat,et al. The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome. , 2006, Neoplasia.
[15] Zhuoli Zhang,et al. Quantitative parameters of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI): potential application in predicting pathological grades of pancreatic ductal adenocarcinoma. , 2018, Quantitative imaging in medicine and surgery.
[16] Osman Ratib,et al. OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images , 2004, Journal of Digital Imaging.
[17] Jelle Veraart,et al. One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI? , 2015, NeuroImage.
[18] B. Rosen,et al. Tracer arrival timing‐insensitive technique for estimating flow in MR perfusion‐weighted imaging using singular value decomposition with a block‐circulant deconvolution matrix , 2003, Magnetic resonance in medicine.
[19] Thomas E Yankeelov,et al. Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples. , 2007, Current medical imaging reviews.