The inside of the headcase is custom designed to precisely fit the shape of each patient’s head based on an accurate 3D scan. The outside is shaped to precisely couple to a medical device, such as an MRI scanner or radiotherapy machine.
Custom-designing headcases for each subject provides excellent comfort while preventing motion and precisely positioning the patient inside the medical device.
Scan your subjects using a handheld 3D scanner that can be loaned or purchased from us. This process can be accomplished in less than 2 minutes and with minimal training.
The scans are sent securely to our servers for additional processing. We generate the 3D model of the case and manufacture it using our custom CNC mill.
The case is composed of two halves. The rear half is placed into the head coil. The subject lays into the case, and the front half is placed over the subject. Finally, the headcoil is latched to comfortably position the subject.
Our tests show a significant improvement in motion for high-motion subjects.
Here we compare motion traces for twenty 2.5-minute runs with the headcase vs. traditional padding in an fMRI paradigm.
PhD in Vision Science from UC Berkeley, James has made groundbreaking contributions in visualization and instrumentation of functional MRI. As CEO of Caseforge he leads development and commercialization efforts.
PhD in Neuroscience from UC Berkeley and MS in Computation and Neural Systems from Caltech, Alex brings expertise in MRI research and computational modeling, as well as former startup experience. As CTO of Caseforge he oversees the development of computational tools for automatically designing and manufacturing Caseforge products.
MBA from Haas School of Business and BA in Molecular Cell Biology from UC Berkeley, Young brings experience in commercializing new drug products, strategic planning, and business development. As COO he leads the business operations at Caseforge.
Chancellor's Professor of Psychology at UC Berkeley and an affiliate with Neuroscience and Computer Science, Jack is a leading expert in computational and cognitive neuroscience. He uses sophisticated computational techniques to improve both the science and the instrumentation of neuroimaging. He is an advisor to the Caseforge team.