A study of 3-way image fusion for characterizing acoustic properties of breast tissue

Yang Xu; Neb Duric; Cuiping Li; Jessica Lupinacci; Steven Schmidt; Carri Glide-Hurst

doi:10.1117/12.772045

13 March 2008 A study of 3-way image fusion for characterizing acoustic properties of breast tissue

Yang Xu, Neb Duric, Cuiping Li, Jessica Lupinacci, Steven Schmidt, Carri Glide-Hurst

Proceedings Volume 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing; 692014 (2008) https://doi.org/10.1117/12.772045
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

A novel clinical prototype, CURE (Computed Ultrasound Risk Evaluation), is used to collect breast tissue image data of patients with either benign or malignant masses. Three types of images, reflection, sound speed and attenuation, are generated from the raw data using tomographic reconstruction algorithms. Each type of image, usually presented as a gray scale image, maps different characteristics of the breast tissue. This study is focused on fusing all three types of images to create true color (RGB) images by assigning a different primary color to each type of image. The resulting fused images display multiple tissue characteristics that can be viewed simultaneously. Preliminary results indicate that it may be possible to characterize breast masses on the basis of viewing the superimposed information. Such a methodology has the potential to dramatically reduce the time required to view all the acquired data and to make a clinical assessment. Since the color scale can be quantified, it may also be possible to segment such images in order to isolate the regions of interest and to ultimately allow automated methods for mass detection and characterization.

Citation Download Citation

Yang Xu, Neb Duric, Cuiping Li, Jessica Lupinacci, Steven Schmidt, and Carri Glide-Hurst "A study of 3-way image fusion for characterizing acoustic properties of breast tissue", Proc. SPIE 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing, 692014 (13 March 2008); https://doi.org/10.1117/12.772045

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