Abstract: An automated method for detecting circulating tumor cells in a microscopic image of a blood sample includes receiving, by a computer, a plurality of low-resolution images, each low resolution image providing a representation of the blood sample with one of a plurality of stains applied. The computer determines a threshold value for each of the plurality of stains based on the low resolution images and identifies a list of potential cells based on the threshold values. A gating process is performed on the list of potential circulating tumor cells to identify one or more likely or highly likely circulating tumor cells. The computer presents the subset of the low-resolution images in a verification interface comprising one or more components allowing a user to confirm that a respective low-resolution image included in the subset of the low-resolution images includes one or more circulating tumor cells.

Abstract: An automated method for detecting circulating tumor cells in a microscopic image of a blood sample includes receiving, by a computer, a plurality of low-resolution images, each low resolution image providing a representation of the blood sample with one of a plurality of stains applied. The computer determines a threshold value for each of the plurality of stains based on the low resolution images and identifies a list of potential cells based on the threshold values. A gating process is performed on the list of potential circulating tumor cells to identify one or more likely or highly likely circulating tumor cells. The computer presents the subset of the low-resolution images in a verification interface comprising one or more components allowing a user to confirm that a respective low-resolution image included in the subset of the low-resolution images includes one or more circulating tumor cells.

Abstract: A method for segmenting a portion of a clip is provided. A first active-shape model of the portion is creating in a first state. A second active-shape model of the portion is created in a second state. A combined model for segmenting the portion is generated. The combined model is a linear combination of the first active-shape model and the second active-shape model. An apparatus for segmenting a portion of a clip is further provided. The apparatus includes a modeling means, a first linear combination means, a transformation means, a second linear combination means, and a segmentation means.

Abstract: The present invention provides techniques for combining various types of diagnostic images. In one embodiment of the present invention, a composite image is obtained by fusing MPR and MIP images. The MPR is obtained from a CT scan, and the MIP is obtained from a PET scan. The resulting superimposed images help a physician to see the diagnostic information in context. In other embodiments of the present invention, techniques for an MIP-MIP overlay, VR-MIP overlay, and VR-MPR overlay are provided.