Ultrasound has become a catalyst for innovation, new insights, and improved methods in a wide range of clinical procedures and medical research applications. A longstanding centerpiece in the practice of … Read More
We have developed algorithms that analyze ultrasound signals to detect internal bleeding. These algorithms are part of a point-of-care, computer-assisted ultrasound system that is intended to aid in the triage … Read More
Kitware distributes toolkit packages in multiple formats. Kitware issued links to the 4.12 release of the Insight Segmentation and Registration Toolkit (ITK) on the ITK website. Python wheel packages served … Read More
Kitware seeks to harness the integration of machine learning algorithms and rugged, portable ultrasound devices to develop an easy-to-use system that enables emergency responders to quickly assess the severity of … Read More
Research and development efforts lead to expertise in systems integration. Kitware became an approved systems integrator for Interson ultrasound probes. Kitware established years of experience with the probes through projects … Read More
On behalf of the Insight Toolkit community, we are proud to announce that ITK 4.12 release candidate 2 has been tagged and is available for testing! Please take this opportunity … Read More
On behalf of the Insight Toolkit community, we are proud to announce that ITK 4.12 release candidate 1 has been tagged and is available for testing! Please take this opportunity … Read More
A fundamental task in most aspects of medical image computing is segmentation, i.e., delineation of anatomical structures of interest for further processing and quantification. Segmentation can be manual, it can … Read More
Research demonstrates how new technology can aid in characterizing mandibular disorders. Kitware detailed plans to share preliminary results of ongoing research at the 95th General Session & Exhibition of the … Read More
Dental and Craniofacial Bionetwork for Image Analysis (DCBIA) started in 2009 as a late child to the National Alliance for Medical Image Computing (NA-MIC). Inspired by NA-MIC, DCBIA wanted to … Read More
