SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction

This data set has been published in Medical Image Analysis under the title “SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction.” The dataset contains 16 stereoendoscopic image pairs with reference anatomical segmentation derived from CT. Two different <i>ex vivo</i> porcine samples were imaged using the straight and 30° endoscopes from the original classic da Vinci™ Surgical System (Intuitive Inc., Sunnyvale, US)<br>A reference is provided by a CT scan from the O-arm™ system (Medtronic Inc, Dublin, Ireland). The scan contains both the anatomy and the endoscope, facilitating constrained manual alignment to provide pose of the viewed anatomical surface relative to the endoscope.<br>The reference is provided as rectified stereo pairs with corresponding disparity and depth as well as labels for overlap region and occlusions.<br>Two versions of this dataset have are incorporated. You can download a simplified version for validation (SERV-CT.zip) and a version including CT surfaces and software for manual alignment (SERV-CT-ALL.zip). You can also download the datasets evaluation code at: http://github.com/surgical-vision/servcttk<br>