ClearRead Detect on Docker PlatformPrimary DI number should be M722XD20104C20037
ClearRead Detect on Docker PlatformPrimary DI number should be M722XD20104C200370.Re-entered 12/30/2020.
ClearRead Detect on Docker PlatformPrimary DI number mistyped as M722XD20104C203
ClearRead Detect on Docker PlatformPrimary DI number mistyped as M722XD20104C20370.Originally entered on 5/19/2020.
ClearRead Bone Suppress on Docker Platform.Primary DI Number should be M722XD201
ClearRead Bone Suppress on Docker Platform.Primary DI Number should be M722XD20104B200370.Re-entered 12/30/2020.
ClearRead Bone Suppress on Docker Platform.Primary DI Number mistyped as M722XD2
ClearRead Bone Suppress on Docker Platform.Primary DI Number mistyped as M722XD20104B20370.Originally entered on 5/19/2020
ClearRead Confirm on Docker PlatformPrimary DI Number should be M722XD20104L2003
ClearRead Confirm on Docker PlatformPrimary DI Number should be M722XD20104L200370.Re-entered on 12/30/2020.
ClearRead Confirm on Docker PlatformOriginally mistyped as M722XD20104L20370.Ori
ClearRead Confirm on Docker PlatformOriginally mistyped as M722XD20104L20370.Originally entered on 5/19/2020.
HeartPro is a web-accessible, self-contained image analysis software application
HeartPro is a web-accessible, self-contained image analysis software application that analyzes DICOM-compliant cardiovascular images acquired from magnetic resonance (MR) scanners. HeartPro specifically analyzes the blood flow to the heart and its major vessels using multi-slice, multi-phase and velocity encoded MR images.
HeartPro is a web-accessible, self-contained image analysis software application
HeartPro is a web-accessible, self-contained image analysis software application that analyzes DICOM-compliant cardiovascular images acquired from magnetic resonance (MR) scanners. HeartPro specifically analyzes the blood flow to the heart and its major vessels using multi-slice, multi-phase and velocity encoded MR images.
The product mint Lesion helps qualified radiologists with the image-based diagno
The product mint Lesion helps qualified radiologists with the image-based diagnosis and treatment response assessment of oncological diseases. Fields of application are radiological diagnosis and follow-up examinations in oncology, as well as clinical or pharmaceutical drug trials across a defined group of patients. mint Lesion implements various radiological guidelines and response evaluation criteria, such as RECIST (Response Evaluation Criteria In Solid Tumors). This also includes the assessment of the stage of oncological disease (staging) and the objective response to therapy (e.g. timepoint response / overall response). The timepoint response is an empirical measure to evaluate therapy success according to the response criteria in use. It is mainly used to assess patient cohorts in the course of clinical trials of novel therapy agents. The timepoint response may differ from a radiological assessment of response to therapy and must not be used as a surrogate. mint Lesion allows for the documentation of size and assessment of changes in size of solid tumors described by the respective criteria that are monitored by means of radiological imaging (computed tomography (CT), magnetic resonance imaging (MRI), nuclear medicine (PET, NM), digital radiography (XR, CR)). mint Lesion follows the typical workflow of follow-up examinations, from assessment to reporting, and enables the integration of a clinical-radiological software environment (PACS, Picture Archiving and Communication System). Assessment results can be exported into different electronical formats and processed further by other applications.