Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray CT: a survey

no code implementations • 4 Dec 2014 • Hao Zhang, Jing Wang, Jianhua Ma, Hongbing Lu, Zhengrong Liang

Statistical image reconstruction (SIR) methods have shown potential to substantially improve the image quality of low-dose X-ray computed tomography (CT) as compared to the conventional filtered back-projection (FBP) method for various clinical tasks.

Computed Tomography (CT) Image Reconstruction

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity

no code implementations • 27 May 2022 • Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt

The outcomes of this modeling approach reached the score of area under the curve of the receiver operating characteristics of 94. 2 % for the polyps and 87. 4 % for the nodules, resulting in an average gain of 5 % to 30 % over ten existing state-of-the-art lesion classification methods.

Computed Tomography (CT) Lesion Classification