Clinical Study A – Ultrasound Data Collection
This study focuses on gathering a comprehensive dataset of conventional ultrasound images to support the development of advanced training models in medical imaging. With over 3,000 participants, the study aims to create a robust and diverse collection of images representing a wide range of anatomical regions and clinical conditions. The dataset will serve as a foundational resource for improving diagnostic accuracy and enhancing machine learning applications in ultrasound analysis.
US-DICOMizer
US-DICOMizer is an advanced application designed for anonymizing ultrasound diagnostic DICOM images. This tool ensures compliance with data privacy regulations by securely removing patient-identifiable information from DICOM files, making them suitable for research, sharing, and analysis.
ThrombUS+ Study B2 – Physical Activity Data Collection
Study B2 is a single-center observational cohort study to collect lower limb activity measurements from healthy volunteers during physiotherapy exercises using IMU and camera sensors to create a training data set for development and research purposes (signal processing and analysis, AI training).
Physical Activity Recording Studio Application
Recording Studio Application is a software developed to facilitate data collection process required by ThrombUS+ Study B2, ensuring data anonymization and data integrity. Recording Studio supports the connection of numerous inertial measurement units (IMUs) for recording activity data. In addition, synchronous video recordings can be captured, utilizing up to two connected web-cameras. An integrated visualization tab allows users to review recordings.
Wearable Compression Ultrasound
The ThrombUS+ wearable compression ultrasound system represents a breakthrough in early deep vein thrombosis (DVT) detection. It combines a novel wearable linear ultrasound probe produced by Vermon, an ultra-portable beam-former produced by Telemed and a silent wearable actuator for tissue compression by KTU.