Medical CT Imaging Software
iTomography currently offers the following proprietary software for medical health care applications customizable for any region of interest and mode of scanning (e.g., helical, C-arm, and others).
4D CBCT Reconstruction Currently Deployed on a Customer's Scanner
Filtered Back Projection Based Reconstruction
Filtered Back Projection (FBP) algorithms are suited for applications where an image needs to be reconstructed accurately and in near real-time. iTomography’s CTO, Prof. Alexander Katsevich, made a revolutionary breakthrough in CT imaging by developing the first fast and exact 3D image reconstruction algorithm (“Katsevich Algorithm”). Advances inspired by this result are utilized in the vast majority of 3D scanners deployed today by OEMs in the medical industry, and iTomography continues to be on the cutting edge of FBP reconstruction.
iTomography offers an optimized CUDA-based version of the iTomoKFBP helical CT image reconstruction software based on the theoretically exact Katsevich algorithm, including a near real-time version that works in parallel with scanning and a multi-GPU off-scanner version. iTomoFDK, CUDA-based circular CT image reconstruction software is available as well. Temporary trial versions are available upon request.
Iterative Reconstruction (IR) is ideal for low radiation dose CT imaging. While IR takes longer to perform than non-iterative reconstruction (e.g., FBP), it can overcome a wide variety of imperfections in the scan, such as incomplete source trajectory, data truncation, low signal-to-noise ratio, and others. A number of IR approaches are utilized by the industry, and iTomography’s IR algorithm utilizes a statistical approach for improved modeling of noise and system geometry.
iTomography Motion Corrected 4D CBCT Reconstruction Developed and Implemented for Customer (2020)
Local Tomography - iTomoLT
iTomography developed, tested, and patented iTomoLT, a reconstruction technique based on Local Tomography (LT). iTomoLT is designed to address limitations in current CT reconstruction techniques when high density objects limit diagnostic yield. Trials of iTomoLT for cardiac applications performed at the Memorial Hermann Hospital in the Texas Medical Center in Houston indicated potential for improved diagnostic quality of iTomoLT images versus conventional reconstruction. iTomography conducted an extended population validation studies for cardiac applications in partnership with the NIH’s National Heart, Lung, and Blood Institute (NHLBI) and Canon (formerly Toshiba).
CT Data Processing and Image Enhancement
iTomography possesses a spectrum of pre- and post- image reconstruction software essential for improving the performance and reliability of CT imaging workflows. Our scatter correction solution improves the performance of image reconstruction algorithms. Then during post-image reconstruction, we can perform additional denoising in the image domain, deblurring, artifact reduction, and other image enhancements.
Coronary stent image reconstructed with iTomography software.
Please click here for a list of selected publications. A complete list of iTomography's software and patent portfolio is available upon request.
We look forward to working with equipment manufacturers to efficiently implement and deploy iTomography’s current and future CT imaging software solutions on their scanners to address the needs of clinicians and patients worldwide.