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Interval breast cancers account for 20 to 30 percent of all breast cancer cases.
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Canan Dagdeviren is an associate professor of media arts and sciences at MIT.
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Canan Dagdeviren is the senior author of the study.
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Md Osman Goni Nayeem is a former MIT postdoc.
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Shrihari Viswanath is an MIT graduate student.
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Hyeokjun Yoon is an MIT graduate student.
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Md Osman Goni Nayeem, Shrihari Viswanath, and Hyeokjun Yoon are the lead authors of the paper.
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The paper was published in Nature Communications on 2026-07-01.
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The research team developed portable ultrasound detectors.
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The system produces images with improved resolution.
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The system can detect potential tumors, cysts, and microcalcifications.
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The researchers created a user interface for the ultrasound probe.
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The paper is titled "Portable, real-time 3D ultrasound for operator-independent breast imaging."
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The DOI for the paper is 10.1038/s41467-026-74708-3.
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Interval cancers tend to be more aggressive than other breast cancers.
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Canan Dagdeviren lost an aunt to interval breast cancer in 2015.
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The device uses sound waves to create images of tissue.
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Current ultrasound technology requires large equipment.
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Current ultrasound technology requires a trained operator.
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Earlier this year, Dagdeviren's lab published a study demonstrating a small ultrasound probe attached to an acquisition and processing module.
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The acquisition and processing module is slightly larger than a smartphone.
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The compact system can create a 3D image of the entire breast by scanning two or three locations.
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The new system includes a backing layer added to the ultrasound transducer.
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The backing layer helps contain and focus ultrasound waves.
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The backing layer increases the range of soundwave frequencies that can be absorbed.
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The backing layer reduces acoustical noise.
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The backing layer reduces electrical noise.
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The researchers designed an algorithm that adaptively performs beamforming.
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The algorithm compensates for differences in the speed at which sound waves travel through different types of tissue.
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The researchers tested the system on 10 volunteers who were not experts in ultrasound technology.
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The volunteers used the system to identify small micro targets embedded in a tissue phantom.
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The tissue phantom is a gel-like material engineered to mimic human tissue.
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Participants had a higher success rate locating spheres with the new system than with a traditional ultrasound probe.
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The user interface is displayed on a computer screen.
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The user interface guides the user to place the probe in the correct location.
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The researchers conducted a trial with seven people.
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Users in the trial were able to accurately place the probe in the correct location each time they did a scan.
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The system shows live images on the screen.
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The research was funded by the National Science Foundation.
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The research was funded by the 3M Non-Tenured Faculty Award.
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The research was funded by the Lyda Hill Foundation.
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The research was funded by the MIT Media Lab Consortium.
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The research was funded by a Tata Center Technology and Design Fellowship.
Canan Dagdeviren, associate professor of media arts and sciences at MIT
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"At each time interval, the computer interface guides you to position the device in exactly the same location, which is important for the longitudinal monitoring of a given tissue."
Canan Dagdeviren, associate professor of media arts and sciences at MIT
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"It's very intuitive and quite easy to use."
Md Osman Goni Nayeem, former MIT postdoc
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"With the backing layer, the device produces more accurate and sharper images, with a wider operating range of frequencies."
Shrihari Viswanath, MIT graduate student
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"What we are trying to do is predict the speed of sound properties of the tissue you're imaging, and then use that to reconstruct the image more accurately."
Shrihari Viswanath, MIT graduate student
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"We see up to a 10 percent improvement in the resolution just by applying this technique."
Hyeokjun Yoon, MIT graduate student
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"Conventionally, you need an operator to move the probe around the breast, but we made a computer-vision interface for users to do it by themselves."
Hyeokjun Yoon, MIT graduate student
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"This is very user-friendly and it shows live images on the screen."
Canan Dagdeviren, associate professor of media arts and sciences at MIT
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"The technology is so versatile that it can be used for any soft tissue imaging, from ovarian cancer to measuring endometriosis progression, or fetal monitoring."
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