Replace-approximation method for ambiguous solutions in factor analysis of ultrasonic hepatic perfusion

Ji Zhang; Mingyue Ding; Ming Yuchi; Wenguang Hou; Huashan Ye; Wu Qiu

doi:10.1117/12.844071

12 March 2010 Replace-approximation method for ambiguous solutions in factor analysis of ultrasonic hepatic perfusion

Ji Zhang, Mingyue Ding, Ming Yuchi, Wenguang Hou, Huashan Ye, Wu Qiu

Proceedings Volume 7629, Medical Imaging 2010: Ultrasonic Imaging, Tomography, and Therapy; 762911 (2010) https://doi.org/10.1117/12.844071
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Factor analysis is an efficient technique to the analysis of dynamic structures in medical image sequences and recently has been used in contrast-enhanced ultrasound (CEUS) of hepatic perfusion. Time-intensity curves (TICs) extracted by factor analysis can provide much more diagnostic information for radiologists and improve the diagnostic rate of focal liver lesions (FLLs). However, one of the major drawbacks of factor analysis of dynamic structures (FADS) is nonuniqueness of the result when only the non-negativity criterion is used. In this paper, we propose a new method of replace-approximation based on apex-seeking for ambiguous FADS solutions. Due to a partial overlap of different structures, factor curves are assumed to be approximately replaced by the curves existing in medical image sequences. Therefore, how to find optimal curves is the key point of the technique. No matter how many structures are assumed, our method always starts to seek apexes from one-dimensional space where the original high-dimensional data is mapped. By finding two stable apexes from one dimensional space, the method can ascertain the third one. The process can be continued until all structures are found. This technique were tested on two phantoms of blood perfusion and compared to the two variants of apex-seeking method. The results showed that the technique outperformed two variants in comparison of region of interest measurements from phantom data. It can be applied to the estimation of TICs derived from CEUS images and separation of different physiological regions in hepatic perfusion.

Citation Download Citation

Ji Zhang, Mingyue Ding, Ming Yuchi, Wenguang Hou, Huashan Ye, and Wu Qiu "Replace-approximation method for ambiguous solutions in factor analysis of ultrasonic hepatic perfusion", Proc. SPIE 7629, Medical Imaging 2010: Ultrasonic Imaging, Tomography, and Therapy, 762911 (12 March 2010); https://doi.org/10.1117/12.844071

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