News | SPECT Imaging | December 15, 2020

Computational Method Provides Faster High-resolution Mass Spectrometry Imaging

Researchers at the Beckman Institute for Advanced Science and Technology developed a subspace mass spectrometry imaging approach that accelerates the speed of data acquisition -- without sacrificing the quality -- by designing a model-based reconstruction strategy.

Top, hyperspectral visualization with data from a standard 9-hour experiment compared with hyperspectral visualization with data from a proposed 1-hour experiment. Image courtesy the Beckman Institute for Advanced Science and Technology.

December 15, 2020 — A new computational mass spectrometry imaging method enables researchers to achieve high mass resolution and high spatial resolution for biological samples while providing data sets exponentially faster.

Researchers at the Beckman Institute for Advanced Science and Technology developed a subspace mass spectrometry imaging approach that accelerates the speed of data acquisition -- without sacrificing the quality -- by designing a model-based reconstruction strategy.

The technique, which was developed using animal models, could have important implications for many applications, including analytical chemistry and clinical studies, with results available at a fraction of the time. It also can detect a wide range of biomolecules — from small molecules such as neurotransmitters and amino acids to larger molecules such as lipids or peptides.

The paper "Accelerating Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry Imaging Using a Subspace Approach" was published in the Journal of the American Society of Mass Spectrometry.

"Fourier transform-ion cyclotron resonance is a really powerful instrument, providing the highest mass resolution," said Yuxuan Richard Xie, a bioengineering graduate student at the University of Illinois Urbana-Champaign, who is first author on the paper. "But one disadvantage of FT-ICR is it's very slow. So essentially, if people want to achieve a certain mass resolution, they have to wait days to acquire data sets. Our computational approach speeds up this acquisition process, potentially from one day to maybe one to two hours -- basically a tenfold increase in data acquisition speed."

"Our method is changing the way that we acquire the data," Xie said. "Instead of acquiring mass spectra per pixel, the technique recognizes the redundancy in the high-dimensional imaging data and uses a low-dimensional subspace model to exploit this redundancy to reconstruct multispectral images from only a subset of the data."

Xie collaborated with Fan Lam, an assistant professor of bioengineering, and Jonathan V. Sweedler, the James R. Eiszner Family Endowed Chair in Chemistry and the director of the School of Chemical Sciences, who are co-principal investigators on the paper. Daniel Castro, a graduate student in molecular and integrative physiology, also contributed.

"We have been using subspace models in our MRI and MR spectroscopic imaging work for a long time," Lam said. "It is really nice to see that it also has great potentials for a different biochemical imaging modality."

"The ability to acquire enhanced chemical information and the locations of the chemicals in a complex sample such as a section of a brain becomes enabling for our neurochemical research," Sweedler said.

The subspace imaging concept was pioneered by Zhi-Pei Liang, a professor of electrical and computer engineering and full-time Beckman faculty member, who is a world-leading expert in MRI and MRSI.

The research continues as researchers seek to apply the technique to 3-D imaging. "(The approach) could have a much larger impact for the scientific community for 3-D imaging of larger areas, such as the brain," Xie said. "Because if we do 50 slices on FT-ICR, it would take weeks right now, but (with this technique) we can achieve decent coverage maybe within days.

"I believe that computational imaging, especially the data driven approach, is like a new shining star. It's getting more and more powerful, and we should definitely utilize some of those techniques for chemical analysis of tissue through mass spectrometry imaging."

For more information: www.beckman.illinois.edu

Related Content

Researchers from the School of Biomedical Engineering & Imaging Sciences at King's College London have automated brain MRI image labeling, needed to teach machine learning image recognition models, by deriving important labels from radiology reports and accurately assigning them to the corresponding MRI examinations

Getty Images

News | Magnetic Resonance Imaging (MRI) | July 28, 2021
July 28, 2021 — Researchers from the School of Biomedical Engineering & Imaging Sciences at...
64-Year-Old Man With Clear Cell Likelihood Score (ccLS) 5 Renal Masses

64-Year-Old Man With Clear Cell Likelihood Score (ccLS) 5 Renal Masses. Coronal T2-weighted single shot fast spin echo and coronal T1-weighted fat-saturated spoiled gradient echo acquired during corticomedullary phase—ccLS5 lesion outlined red for clarity.

News | Magnetic Resonance Imaging (MRI) | July 22, 2021
Registration is now open for the Radiological Society of North America (RSNA) 107th Scientific Assembly and Annual Meeting, the world’s largest annual radiology forum, to be held at McCormick Place Chicago, Nov. 28 – Dec. 2, 2021

Getty Images

News | RSNA | July 21, 2021
July 21, 2021 — Registration is now open for the Radiological Society of North America (...
Artificial intelligence-powered diagnostic tool spots asymptomatic prostate cancer in seconds

(L-R) Associate Professor Peter Brotchie (St Vincent's), Dr Ruwan Tennakoon (RMIT), Professor John Thangarajah (RMIT), Dr Mark Page (St Vincent's). Image courtesy of St Vincent's Hospital Melbourne

News | Prostate Cancer | July 19, 2021
July 19, 2021 — Prostate cancer is the most diagnosed
The Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR), and the Medical Image Computing and Computer Assisted Interventions (MICCAI) society have announced the launch of the 10th annual Brain Tumor Segmentation (BraTS) challenge

Getty Images

News | RSNA | July 14, 2021
July 14, 2021 — The Radiological Society of North America (...
ujifilm's robust medical systems portfolio includes a comprehensive product lineup covering CT, MRI, fluoroscopy, digital radiography, women’s health, ultrasound, systems integration, endoscopy and endosurgery, enterprise imaging, assisted reproductive technology, cell culture media, cell therapy development, In-Vitro diagnostics (IVD), and investigational drug development
News | Radiology Imaging | July 14, 2021
July 14, 2021 — Fujifilm announced the launch of the ...
The software provides fully automated precise segmentation and robust assessment of chondral lesions (location, diameter, shape, boundaries), resulting in improved diagnosis and treatment selection, supporting faster recovery
News | Artificial Intelligence | July 14, 2021
July 14, 2021 — RSIP Vision, a clinically proven leader in real-world...
In a mouse model study of MRI-guided focused ultrasound-induced blood-brain barrier (BBB) opening at MRI field strengths ranging from ­approximately 0 T (outside the magnetic field) to 4.7 T, the static magnetic field dampened the detected microbubble cavitation signal and decreased the BBB opening volum

In a mouse model study of MRI-guided focused ultrasound-induced blood-brain barrier (BBB) opening at MRI field strengths ranging from ­approximately 0 T (outside the magnetic field) to 4.7 T, the static magnetic field dampened the detected microbubble cavitation signal and decreased the BBB opening volume. Image courtesy of Washington University in St. Louis

News | Magnetic Resonance Imaging (MRI) | July 13, 2021
July 13, 2021 — ...
Most countries have not introduced nationwide prostate cancer screening, as current methods result in overdiagnoses and excessive and unnecessary biopsies. A new study by researchers at Karolinska Institutet in Sweden, which is published in The New England Journal of Medicine, indicates that screening by magnetic resonance imaging (MRI) and targeted biopsies could potentially cut overdiagnoses by half.

Getty Images

News | Prostate Cancer | July 12, 2021
July 12, 2021 — Most countries have not introduced nationwide...