Computational Anatomy Portal


The Computational Anatomy Portal provides a centralized access to The MRI Resource for Physiologic, Metabolic and Anatomic Biomarkers, MRICloud, Atlases, Protocols, Tutorials, Datasets, and Software developed at the Johns Hopkins University Center for Imaging Science. Links are also provided to Computational Anatomy Processing Portals.

The MRI Resource for Physiologic, Metabolic and Anatomic Biomarkers

The MRI Resource for Physiologic, Metabolic and Anatomic Biomarkers is an interdepartmental and interdisciplinary consortium combining facilities and expertise of the F.M. Kirby Research Center at Kennedy Krieger Institute (KKI), the Department of Radiology at Johns Hopkins University (JHU) School of Medicine, the Center for Imaging Science at the JHU Whiting School of Engineering, and the Department of Biostatistics at the JHU Bloomberg School of Public Health. Our overall goal is to develop novel noninvasive MRI candidate biomarkers that can be used for:
(i) personalized assessment of patients for diagnosis, prognosis, and treatment monitoring;
(ii) monitoring of the development of new medical technologies and drugs, i.e. for better guiding of clinical trials.
The significance of our proposed developments lies in providing the fundamental design and initial testing (i.e. not clinical trials itself) of new MRI candidate biomarkers with the potential to provide surrogate quantitative imaging endpoints that are as close as possible to clinical endpoints. As such, this Resource focuses on designing, calibrating and standardizing new magnetic resonance (MR) technologies to provide reliable measures across sessions, scanners, and raters. This technology will then be disseminated for larger scale patient studies to allow clinical validation. Click here to access the website.


MriCloud is a website providing cloud-based medical image processing services developed by the JHU Center for Imaging Science, Laboratory for Brain Anatomical MRI, Center for Brain Imaging, and AnatomyWorks, LLC, supported in part by funding from NIH/NIBIB grant P41EB015909. Click here to access the website.


Atlases are generated using for anatomical structures from selected population groups. Atlases have been developed for subcortical structures in the human brain and the canine heart. The atlases are available for download at Atlases.


Descriptions of the manual segmentation of the structures follows from the anatomical definitions (Wang et al., 2007, Qiu et al., 2010, Qiu et al., 2009) with the assistance of an atlas (Mai et al., 1997) is provided in Protocols.


Tutorials for using CAWorks and landmarking various structures are available in Tutorials.


Image Database at the Johns Hopkins Center of Imaging Science can be accessed here.


Software tools developed for the field of Computational Anatomy, together with links to documentation of software are provided here.