Practice Locations

UCHealth University of Colorado Hospital (UCH)
12605 E. 16th Ave Aurora, CO 80045

720-848-0000

Mehmet Aksakal, MD

Radiology

Board Certified

Mehmet Aksakal

Care Philosophy

I practice evidence-based, precise, and clinically integrated neuroradiology. My priority is to deliver clear, actionable interpretations that directly impact patient management. I emphasize diagnostic accuracy, advanced imaging techniques, and close communication with referring providers to ensure timely and optimal care. Every study is approached with the mindset that it represents a real clinical decision point, not just an image set.

Clinical Interest for Patients

• Advanced MRI techniques: diffusion, perfusion, spectroscopy, vessel wall imaging • Neurodegenerative disease imaging (Alzheimer’s disease, MCI, Parkinsonian syndromes) • Cerebrovascular disorders: ischemia, vasculitis, RCVS, aneurysms, and dissection • Neuro-oncology: primary and metastatic tumors, treatment response assessment • Head and neck neuroradiology • Molecular and functional imaging integration with MRI • Imaging biomarkers for diagnosis, prognosis, and therapy monitoring

Credentials

Doctor of Medicine

Specialty

Radiology

Scheduling Phone Number

720-848-0000

Gender

Male

Languages

Turkish, English

Hospital Affiliation

UCHealth Highlands Ranch Hospital, University of Colorado Hospital

Provider Information

  • Radiology

Personal Interests
Outside of clinical and academic work, I value a disciplined and balanced lifestyle. I am interested in health optimization, nutrition, and physical fitness, with a focus on sustainable habits. I enjoy reading and continuous learning, particularly in science, medicine, and personal development. I also value time spent with family and meaningful social connections. Travel, cultural exploration, and nature-based activities are important to me, as they provide perspective and mental clarity.


Assistant Professor, Radiology-Neuroradiology

Research Interests for Patients

• Imaging biomarkers for neurodegenerative diseases, with emphasis on Alzheimer’s disease, mild cognitive impairment, and related dementias • Amyloid PET, FDG PET brain imaging, and their integration with structural and quantitative MRI • Quantitative imaging, automated analysis, and AI-assisted decision support systems • Advanced MRI techniques including vessel wall imaging, perfusion, diffusion, and volumetric analysis • Cerebrovascular imaging research, particularly intracranial vasculopathies and inflammatory arteriopathies • Correlation of imaging findings with clinical outcomes, cognitive performance, and disease progression • Development of standardized, reproducible imaging protocols to improve diagnostic accuracy and research reproducibility

Education and Training

Fellowships

University of Washington Program (2022)

University of Washington Program (2024)

University of Washington Program (2023)

University of Washington Program (2025)

Information for referring providers

Referral Contact Phone

720-848-0000

720-848-0000

Referring Patients Link

Information for Referring and Transferring Patients

Clinical Interests for Referring Providers

• Advanced brain MRI interpretation, including complex and atypical cases • Neuro-oncology imaging (tumor characterization, treatment response, and post-therapy changes) • Cerebrovascular imaging (acute stroke, vasculopathies, vessel wall imaging) • Neurodegenerative disease imaging, including dementia and cognitive disorders • Head and neck imaging • Problem-solving consultations for diagnostically challenging cases • Imaging-guided clinical decision support and multidisciplinary collaboration

Research Interest for Referring Providers

• Imaging biomarkers for neurodegenerative diseases, including Alzheimer’s disease and mild cognitive impairment • Amyloid and FDG PET applications in cognitive disorders • Advanced MRI techniques for early disease detection and phenotyping • Quantitative imaging and AI-assisted analysis for objective assessment • Cerebrovascular imaging research, including vessel wall imaging and vasculopathies • Correlation of imaging findings with clinical, laboratory, and cognitive outcomes • Development of imaging-based decision support tools for patient management