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Optimizing Mobile Photon-Counting CT Image Quality via Deep Learning for Neuro Intensive Care Unit

Award Number: R01EB035394
ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 07/01/2024
PERIOD OF PERFORMANCE END DATE: 04/30/2028

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Optimizing Mobile Photon-Counting CT Image Quality via Deep Learning for Neuro Intensive Care Unit - Project Summary Mobile CT scanners are routinely used in the neuro intensive care unit (ICU) for critically ill patients to avoid morbidity and adverse events associated with patient transport. The image quality of mobile CT is inferior to a fixed MDCT in terms of image noise, spatial resolution, soft tissue contrast, and susceptibility to artifacts from beam hardening, motion, metallic implants, and truncation. Reduced image quality may compromise care and necessitate transport to a fixed scanner. For example, on a mobile CT scanner, it is difficult to diagnose small infarcts or hemorrhage, or to differentiate between intracranial hemorrhage and contrast extravasation after endovascular processes. In this project, we will leverage the benefits from an FDA-approved mobile photon counting CT (PCCT), as well as deep learning-based image reconstruction algorithms to improve the image quality of the mobile PCCT to or beyond that of a fixed scanner. The multi-spectral and high-resolution features of the mobile PCCT will be explored and combined with deep learning algorithms for noise and artifacts reduction. In this project, the following aims will be investigated to achieve our goal to match the image quality of a mobile PCCT to a fixed scanner: (1) We will develop low-dose, high-resolution deep learning-based reconstruction algorithms to reduce the noise and improve gray-white matter contrast in the mobile PCCT; (2) We will develop methods for material decomposition with reduced noise amplification and spectral optimization to overcome beam hardening artifacts and achieve discrimination between calcium/contrast/hemorrhage; (3) We will develop deep learning-based algorithms for image artifacts correction to tackle artifacts that are more frequent on a mobile CT, including motion, truncation, and metal artifacts; (4) To validate the methods, the optimized mobile PCCT images will be compared with fixed CT images by trained radiologists.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $0 )
2026	2025	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	11/17/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2025 ( Subtotal = $443,034 )
2025	2025	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	4/30/2025	NON-COMPETING CONTINUATION	$443,034
2025	2025	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	2	8/15/2025	NON-COMPETING CONTINUATION	-$443,034
2025	2025	OHIO STATE UNIVERSITY, THE	1960 KENNY RD	COLUMBUS	OH	43210	FRANKLIN	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	002	3	8/18/2025	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$443,034
														Subtotal = $443,034

Issue Date FY: 2024 ( Subtotal = $450,632 )
2024	2024	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	6/19/2024	NEW	$450,632
														Subtotal = $450,632

Grand Total All Awards = $893,666

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Optimizing Mobile Photon-Counting CT Image Quality via Deep Learning for Neuro Intensive Care Unit

Award Number: R01EB035394

ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 07/01/2024

PERIOD OF PERFORMANCE END DATE: 04/30/2028

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