Ying-Kai Fu

A three-dimensional registration method for automated fusion of micro PET-CT-SPECT whole-body images

Micro positron emission tomography (PET) and micro single-photon emission computed tomography (SPECT), used for imaging small animals, have become essential tools in developing new pharmaceuticals and can be used, among other things, to test new therapeutic approaches in animal models of human disease, as well as to image gene expression. These imaging techniques can be used noninvasively in both detection and quantification. However, functional images provide little information on the structure of tissues and organs, which makes the localization of lesions difficult. Image fusion techniques can be exploited to map the functional images to structural images, such as X-ray computed tomography (CT), to support target identification and to facilitate the interpretation of PET or SPECT studies. Furthermore, the mapping of two functional images of SPECT and PET on a structural CT image can be beneficial for those in vivo studies that require two biological processes to be monitored simultaneously. This paper proposes an automated method for registering PET, CT, and SPECT images for small animals. A calibration phantom and a holder were used to determine the relationship among three-dimensional fields of view of various modalities. The holder was arranged in fixed positions on the couches of the scanners, and the spatial transformation matrix between the modalities was held unchanged. As long as objects were scanned together with the holder, the predetermined matrix could register the acquired tomograms from different modalities, independently of the imaged objects. In this work, the PET scan was performed by Concordes microPET R4 scanner, and the SPECT and CT data were obtained using the Gamma Medicas X-SPECT/CT system. Fusion studies on phantoms and animals have been successfully performed using this method. For microPET-CT fusion, the maximum registration errors were 0.21 mm /spl plusmn/ 0.14 mm, 0.26 mm /spl plusmn/ 0.14 mm, and 0.45 mm /spl plusmn/ 0.34 mm in the X (right-left), Y (upper lower), and Z (rostral-caudal) directions, respectively; for the microPET-SPECT fusion, they were 0.24 mm /spl plusmn/ 0.14 mm, 0.28 mm /spl plusmn/ 0.15 mm, and 0.54 mm /spl plusmn/ 0.35 mm in the X, Y, and Z directions, respectively. The results indicate that this simple method can be used in routine fusion studies.

Feasibility study of using PEImager scanner for positron emission mammography

The purpose of this work is to study the feasibility of using PEImager scanner for positron emission mammography (PEM). PEM can be performed by using two opposite detectors. The two-detector positron projection imaging has less depth information, because of the limited number of line of responses (LORs). In this work, an iterative back projection algorithm is employed for reconstruction of projection data. Although the number of LORs are limited, the locations and sizes of hot spots in breast phantom still can be determined from the reconstructed images.

Detection-ability evaluation of the PEImager for positron emission mammography applications

This work is a pilot study of using a dual-head scanner in positron emission mammograph (PEM). A positron emission imager (PEImager) developed at our laboratory was used as a PEM prototype to obtain data. Dual-head projection imaging mode was used in the PEM study. An iterative algebraic reconstruction was employed to reconstruct projection data to obtain tomograms. A cylindrizal phantom filled with water was applied to simulate a breast and five hollow spheres (2 mm-10 mm diameters) filled with F-18 fluoride simulated tumors in the breast phantom. Preliminary data revealed that the locations and sizes of the hot spots in the breast phantom were determined from the reconstructed images. The ability to detect the tumor embedded in the radioactive water was evaluated. At a tumor-to-normal tissue ratio 20:1, a 3 mm tumor was detected; 5 mm and 10 mm tumors could be detected at the ratios of 10:1 and 5:1, respectively.