physics

Ron Kikinis

Ron Kikinis is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Ron Kikinis rather than just read about it. In short: Ron Kikinis is an American physician and scientist best known for his research in the fields of imaging informatics, image guided surgery, and medical image computing. He is the B.

Key takeaways

Ron Kikinis belongs to physics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Ron Kikinis to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Ron Kikinis from memory before moving on to harder problems.

Reference excerpt

Ron Kikinis is an American physician and scientist best known for his research in the fields of imaging informatics, image guided surgery, and medical image computing. He is the B. Leonard Holman Professor of Radiology at Harvard Medical School. Kikinis is the founding director of the Surgical Planning Laboratory in the Department of Radiology at Brigham and Women's Hospital, in Boston, Massachusetts.

Education Kikinis trained as a both a physician (receiving his M.D. degree from the University of Zurich in 1982) and as a researcher in computer vision at the ETH Zurich in Switzerland. During his studies, he developed an interest in using medical imaging, image processing, visualization, and human-computer interaction to enhance the performance of physicians and improve patient care.

Surgical Planning Laboratory Relocating to the United States in 1988, he joined Brigham and Women's Hospital's Department of Radiology, under the mentorship of Ferenc A. Jolesz. In 1990, Kikinis founded the Surgical Planning Laboratory (SPL) in the Department of Radiology at BWH. The SPL is an academic laboratory focusing on basic and translational research. Kikinis established the SPL as a center for clinical collaboration with other medical specialties in the areas of radiology, surgery, and internal medicine. Under Kikinis's leadership, the SPL has participated in collaborative research projects with hundreds of physicians, computer scientists, and other researchers at BWH and across the world. The SPL has advanced specific technologies such as image segmentation, data set registration, medical visualization, intraoperative imaging, surgical navigation, and user interfaces; tailored them to address specific medical problems; and disseminated them through open source software development in addition to traditional academic publication.

Academic and research career Kikinis was appointed professor of radiology at Harvard Medical School in 2004. In 2010 he became the Robert Greenes Distinguished Director of Biomedical Informatics in the Department of Radiology at BWH. This position was succeeded in March 2020 when he was appointed the B. Leonard Holman Professor of Radiology and Vice-Chair for Biomedical Informatics Research.". Kikinis has directed or participated in a number of major research efforts. He served as the principal investigator (PI) of the National Alliance for Medical Image Computing (NA-MIC) a National Center for Biomedical Computing and a part of the NIH Roadmap Initiative of the National Institutes of Health. NA-MIC's unique organization under the Roadmap Initiative consisted of multiple computer science and medical teams throughout the United States. Kikinis is PI for the Neuroimaging Analysis Center (NAC) a Biomedical Technology Resource Center funded by the NIBIB. He is director of collaborations for the National Center for Image Guided Therapy (NCIGT) at BWH, an NIH-sponsored clinical research center combining diverse imaging, computational technology, and image guided therapy within the hospital operating room. He is PI for 3DSlicer, a free, open source, cross-platform medical image processing, analysis, and visualization software platform. In addition to his activities in the US, he was served as "Institutsleiter" (head of institute) of Fraunhofer Institute for Medical Image Computing MEVIS and Professor of Medical Image Computing at the computer science department of the University of Bremen in Germany from January 2014 through February 2020. Kikinis has also served on numerous boards and advisory committees for research efforts worldwide.

Publications Kikinis is the author or co-author of more than of over 424 peer-reviewed articles, with an H-index well over 100. His articles have been cited over 100,000 times.

References

External links Ron Kikinis publications indexed by Google Scholar

Illustrations

Worked examples

Example 1 — a first encounter with Ron Kikinis

Start with the simplest possible case. Write down what Ron Kikinis claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Ron Kikinis before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Ron Kikinis ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Ron Kikinis

In research: Ron Kikinis appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Ron Kikinis in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Ron Kikinis is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1956 births, American medical doctors, American scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Ron Kikinis outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Ron Kikinis in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Ron Kikinis means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Ron Kikinis out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ron Kikinis in simple terms?

Ron Kikinis is an American physician and scientist best known for his research in the fields of imaging informatics, image guided surgery, and medical image computing. He is the B.

Why does Ron Kikinis matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Ron Kikinis?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Ron Kikinis.