Dr. Kenneth L. Weiss

Research Interests

Dr. Weiss’s research interests include, rapid automated pediatric and adult MRI screening of the neuroaxis, epilepsy, multiple sclerosis and cognition and dementia as well as re-surgical mapping using diffusion tensor-fMRI; increasing standards of practice through computer automated CT and MRI prescriptions and digital imaging processing with an emphasis on patent development.

Dr. Weiss is passionate about mentoring the next generation of academic radiologists; publishing over 20 medical students, residents and fellows, as an investigator on multiple grants and NIH medical student grant programs.  

Research Projects 

Bone Metastases: Rapid Automated Surveillance Technique:
The American Cancer Society has award Dr. Weiss $30,000 to investigate to improve detection and risk assessment of spine metastasis in breast cancer patients. Specific aims of this study include adapting and combining MRI Automated Spine Survey Iterative Scan Technique (ASSIST) with a recently developed GE IDEAL MR sequence to provide quantitative and qualitative assessment of fatty bone marrow replacement for early detection of metastatic disease to the spine and differentiation of pathologic from osteoporosis-related fractures. Sensitivity and specificity will be compared to state-of-the art PET/CT scanning. ASSIST-IDEAL will help stratify risk for developing vertebral metastasis or fracture, whether pathologic or osteoporosis-related. Patients at high risk may then be appropriately treated with IV or oral bisphosphonate prophylaxis, while others spared the inherent risks and cost.

View the preliminary data presented at the 2008 ISMRM   <click here>

Hybrid Reconstruction Kernel: Optimized Head, Neck, Spine and Chest CT: Over the last several years, cross sectional imaging modalities have significantly increased both the conspicuity of anatomy/pathology and the number of images in a study. Radiologists have a limited amount of time to view and interpret radiologic studies, especially ER studies. Of additional importance, radiologists are documenting occupational injuries as a result of increased workload relative to the high number of images per study. This research aims to develop and test a hybrid CT algorithm to simultaneously optimize bone and soft tissue characterization for the purpose of determining radiologist preference for single hybrid image or acquired conventional images and to potentially halve the number of images that need to be stored, transmitted, and reviewed. This research has resulted a US patent and copyright, 2 peer review publications and 2 international presentations. This technology is available for license. For licensing information <click here>

View this technology click on     < Head>      <Spine>     <Chest>
Read the paper <HCK paper>

Multiparametric Virtual Autopsy:
The use of multiple diagnostic imaging modalities pre-autopsy for the purpose of complementing or replacing traditional autopsy.  This research is conducted in conjunction with the NIH supported The University of Cincinnati Medical School Summer Research Program, the Departments of Radiology and Pathology.

Neuroscience Made Memorable:
The goal of this study is to test the effectiveness of mnemonic strategies in medical education and identify brain structures that are activated during successful encoding and recall.  Funding for this research is shared by The University of Cincinnati Dean’s Office and the Department of Radiology. Read more:

Did mnemonics help the medical students?                                  

What did the fMRI show?

Automated Spine Survey Iterative Scan Technique (ASSIST): 
The purpose of this research was to optimize our automated clinical MRI spine survey protocol and assess the ability of the post-processing software to accurately identify and number all spinal vertebrae and inter vertebral spaces C2-S1 and to evaluate the software’s ability to assess morphology by 3D measurement as well as non-morphologic abnormalities based on inter subject comparative variance of MR signal profiles. This research has resulted in 2 issued US patents, multiple patent applications, peer review publications and international presentations. This technology is available for license. For licensing information <click here>

Automated Brain Image Prescriptions and Multiparametric Analysis:  The goal of this research is to standardize and improve the diagnostic evaluation of the neuro-axis.  This research has resulted in 2 issued US patents, multiple patent applications, peer review publications and international presentations. This technology is available for license. For licensing information <click here>