Regularized reconstruction methods for improving image quality in digitalbreast tomosynthesis

来源 :Computational Biomedical Imaging Workshop(2015计算生物医学成像研讨会) | 被引量 : 0次 | 上传用户：xiongxiaoxue

【摘要】

：

　　Detection of subtle microcalcifications in digital breast tomosynthesis(DBT)is a challenging task because of the large,noisy DBT volume.It is important to e

【作者】

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陆遥

【出处】

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Computational Biomedical Imaging Workshop(2015计算生物医学成像研讨会)

【发表日期】

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2015年10期

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　　Detection of subtle microcalcifications in digital breast tomosynthesis(DBT)is a challenging task because of the large,noisy DBT volume.It is important to enhance the contrast-to-noise ratio(CNR)of microcalcifications in DBT reconstruction.Most regularization methods depend on local gradient and may treat the ill-defined margins or subtle spiculations of masses and subtle microcalcifications as noise because of their small gradient.The authors developed a new multiscale bilateral filtering regularization method for the simultaneous algebraic reconstruction technique to improve the CNR of microcalcifications without compromising the quality of masses.

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Regularized reconstruction methods for improving image quality in digitalbreast tomosynthesis

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