Graduate Outcomes
Our graduates are employed in a variety of industries, academic institutions, and hospitals often enjoying career advancement as a result of their studies in the bioimaging program. Others have gone on to a degree in higher education.
Health Care/Hospitals
Current Available Opportunity Promoted for Graduates:
In General…
- Current MRI technologist incentives range from $5,000 to $20,000 sign on bonus.
- MRI tech travel jobs can pay $3000 and up per week.
- MRI industry jobs include covered traveling expenses, commissions and admission to many industry conventions.
Where are our alumni?
- Angell Animal Medical Center
- Boston Medical Center
- Boston Children’s Hospital
- Brigham & Women’s Hospital
- Cheshire Medical Center
- Dartmouth-Hitchcock Medical Center
- Johns Hopkins Aramco Healtcare
- Mass General Hospital
- McLean Hospital
- MD Anderson Cancer Center
- MGH/Harvard Medical School
- Shields Healthcare
- Shield Health Solutions
- Sound Physicians
- Stanford Health Care
- Tufts Medical Center
- Unidents Clinic
- Wake Forest Baptist Health
- York Hospital
Academia/Research
Where are our alumni?
- Boston University School of Medicine
- Jordan University of Science
- King Saud Bin Abdulaziz University
- Loma Linda University
- LSU Health Sciences Center
- MIT
- Northeastern University
- Oregon Health & Science University
- The Rockfeller University
- University of California San Francisco
- University of New Mexico
- Yale University
Doctoral Programs/Continuing Education
Where are our alumni?
- Brown University
- Loma Linda University
- NYU School of Medicine
- University of Texas Health San Antonio
- University of Pennsylvania
- University of Texas Health Science Center
- UMass Lowell
- Washington University School of Medicine
- Virginia Commonwealth University
Industry
Where are our alumni?
- All INBOX, Inc
- Arithmer
- AVI
- Becton Dickinson
- Biogen
- CHDI Management
- Conformal Medical, Inc.
- Deloitte
- Geisinger
- Karyopharm Therapeutics
- Carbonsystems.us
- Merck
- Mountain Pacific Venture Partners
- Novartis
- Paraexel
- Perspectum Diagnostics
- Pfierz
- Pure Storage
- United Imaging Healthcare
Current Additional Job Opportunities
A degree in bioimaging offers other rewarding career paths besides being an MRI technician. Here are some potential opportunities available with this degree:
1) Imaging Informatics Specialist: Combine imaging expertise with knowledge of healthcare informatics. Work on managing and optimizing imaging data, implementing imaging software, and ensuring data security and integration within healthcare systems.
Salary range: $65,000 to $75,000
2) Radiology instructor: A radiology instructor is responsible for teaching and educating students in the field of radiology. Their primary role is to provide instruction and guidance to individuals pursuing a career in radiologic technology, radiography, or other related disciplines.
Salary range: $70,000 to $100,000
3) Geospatial Imaging Analyst: Apply AI algorithms and image analysis techniques to interpret aerial or satellite imagery for various applications like environmental monitoring, urban planning, or agriculture.
Salary Range: $70,000 to $85,000
4) Imaging Research Technologist: Imaging research scientists design experiments and research projects to investigate specific imaging-related questions or problems. They formulate research objectives, develop hypotheses, and design methodologies to address these objectives.
Salary range: $80,000 to $120,000
5) PACS Administrator: This position maintains Picture Archiving and Communication Systems (PACS), which stores, retrieves, and distributes medical images. A PACS admin is responsible for the daily operations of the Picture Archiving and Communications Systems. Oversees equipment maintenance and systems testing, upgrading, and installing. Being a PACS Administrator acts as a liaison between the Radiology department and customers. (Requires ARRT cert).
Salary Range: $98,000 to $122,000
6) Medical Imaging Scientist: Developing AI-based solutions for medical image analysis, including image segmentation, tumor detection, and disease diagnosis.
Salary Range: $115,000 and $140,800
Image Processing and Artificial Intelligence
Use of computers for radiological image acquisition has proven key for generating images of remarkable resemblance to the patient’s actual internal anatomy; in particular, the high imaging fidelities afforded by contemporary x-ray CT and MRI rivals in many cases the realism of photographs of ex-vivo frozen sections. Moreover, the use of computers has not been limited to the image acquisition-reconstruction front end of medical imaging and these uniquely adaptable machines find numerous post-acquisition uses. The field of medical Image Processing (IP) is becoming a science with well-defined principles and a rich theory. Of the many IP methods, probably the most basic are methods for improving image quality with respect to the four objective measures of image quality, i.e., signal-to-noise ratio (SNR), spatial resolution, contrast-to-noise ratio, and artifact reduction. Other well-known IP methods include methods for quantifying the sizes and shapes of organs, which include segmentation and volumetry, and methods for co-registering spatially different images from different scans.
Another branch of image processing known as Quantitative Imaging (QI) is gradually gaining acceptance in the clinic and research initiatives. The main objective of QI is to transform each pixel value of an image to a scientific-grade measurement that can be interpreted independently of other pixels and standardized across imaging scanner platforms, across imaging sessions, and ultimately standardized among different patients. The QI concept entails processing images on a pixel-by-pixel basis to remove the experimental information that is unrelated to the patient and is therefore superfluous, and to retain the pure physical content of the measurement as it relates to the tissue(s), which a pixel represents. Such superfluous information includes the scanner settings and the detection sensitivity factors. Accordingly, QI processing amounts to purifying the information of each pixel value down to the physical property probed with the radiation experiment of the modality. Images of all modalities can be QI-processed; for example, by properly calibrating and intensity correcting the pixel values of an x-ray CT image, a map of the linear attenuation coefficient results that is universally expressed in Hounsfield units, which are related to the local density of electrons. Similarly, gamma-ray images can be QI-processed leading to maps of the radionuclide concentration or uptake.
Artificial Intelligence (AI) is intelligence demonstrated by computers as opposed to natural intelligence as demonstrated by humans and animals. AI is revolutionizing all aspects of medicine and in particular medical imaging through improvements in image processing.
A well-versed imaging professional will need a solid background in IP, QI, and AI and accordingly, the MBI curriculum incorporates these topics throughout its curriculum as well as in depth in the specialized courses.