Precision, Stability, Comfort
We produce personalized stabilizers for use in research and clinical imaging. These stabilizers interface with medical devices to precisely position the patient and eliminate motion.
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About our solution
Our stabilizers are a comfortable, fast, and simple way to eliminate patient motion and ensure that your patient is exactly where you want them every time.
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.
Process
Scanning
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.
Production
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.
Use
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.
Improvement
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.
Team
When he was a PhD student in 2013, founder James Gao was working on an fMRI study but having trouble with motion artifacts. To stabilize subjects’ heads, he and his colleagues came up with an innovative type of 3D printed helmet that was custom designed for each subject. Through years of development that original design evolved into a carved foam helmet that is comfortable, precise, and can be rapidly produced.
James Gao
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.
Alex Huth
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.
Young Park
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.
Jack Gallant
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.