Developing new solutions is one of the central pillars of the philosophy of im3D S.p.A., and in fact constitutes its main mission. To fulfil its mandate, im3D S.p.A. therefore considers that one of the focal points of its operation is constant, continuous research and innovation.
im3D S.p.A. independently finances its own research structures and also, where necessary, provides the funding needed by external research establishments, doctors and researchers. This allows a considerable freedom from constraints, and autonomy for choosing the most promising fields of research.
im3D S.p.A. sets up strategic partnerships with laboratories and research centres in order to manage research projects and develop new technologies and products.
im3D S.p.A. also organises, promotes and finances clinical research and clinical trials.
- We develop state of the art solutions for the early detection of the main cancer pathologies
- All our solutions have build in artificial intelligence components (CAD)
- Behind each of our products there are years of scientific, clinical and software research
- We translate our know-how technologies (CAD, teleradiology, ...) into high quality and eficient screening services
CAD BREAST MRIThe aim of the CAD BREAST MRI project is to create a system that will assist the radiologist in diagnosing tumoral lesions in breast DCE MRI (Dynamic Contrast Enhanced Magnetic Resonance Imaging) exams, by identifying the enhancement areas and evaluating lesions malignancy.
Principal lines of research:
- Image registration between time frames of the dynamic sequence and other imaging sequences (T2W, DWI, ecc.)
- Detection and segmentation of enhancing breast candidate lesions
- Kinetic and morphological analysis of detected lesions
- Malignancy score of detected lesions
CAD LUNGSThe aim of this project is to create and validate a prototype CAD system for the diagnosis of lung cancer, which will be able to process CT thorax scans, identify and indicate a certain number of suspect areas, and assist the radiologist in interpreting the results and compiling the reports. The system is made up of a hardware component consisting of a high-performance computer, and a software component able to receive the test results, process them, generate a list of nodule candidates, then present everything to the radiologist in an efficient and easily interpreted form.
- The project is pursuing the following objectives:
- Identification of pulmonary nodules
- Evaluation of nodule dimensions
- Comparison of nodules with follow-up scans
Cancer biomarkersIdentification of new tumor biomarkers in collections of biomedical images.
Clinical diagnoses and the screening programs for oncological pathologies gather enormous quantities of radiodiagnostic images, which require a committed effort on the part of the radiologist in order to spot the characteristic signs of cancer. Present computer-assisted diagnosis systems that alleviate the work of the radiologist are based on prior knowledge of the biomarkers concerned. However, much of the information contained in the images is unused because its potential importance remains unknown. Making use of this information resource could contribute significantly to cancer prevention.
The aim of this project is to develop methods and instruments for identifying new tumor biomarkers, using a statistical approach which does not work from a priori hypotheses, but examines the correlation between parameters extracted from clinical and anamnestic data and images.
The statistical approach to the researching of new biomarkers and the extraction of these biomarkers by image processing and analysis methods introduces a significant innovation in clinical research methodology
Virtual gastroscopyVirtual endoscopy is a new and developing technology based on the analysis of 2-dimensional (2D) and 3-dimensional (3D) images. Virtual endoscopy is a new method that could deliver effective diagnoses when used alongside the other diagnoses already obtained by standard endoscopy or video endoscopy. The rapid spread of CT technology (Computed Tomography) allows the rapid and accurate acquisition of images of the healthy and the pathological stomach, including the state of lymph node stations and possible secondary localisations in remote abdominal areas which cannot be evaluated by endoscopy.
The research project entitled ?Virtual Gatroscopy? aims to verify the development and application of a CAD system (Computer Aided Detection) for the 3D representation and automatic identification of gastric lesions through the analysis of CT images. The automatic identification of areas with suspected pathologies could allow radiologists to focus their attention during image analysis on areas where there is possible deterioration of the hollow organ, showing these in heightened detail and with greater sensitivity, and creating a new clinical method aimed at improving sensitivity and patient compliance