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AutoRegister: A system for enhancing the accuracy of tumor change detection

Award Number: R42CA183150
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 07/01/2014
PERIOD OF PERFORMANCE END DATE: 03/31/2021

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AutoRegister: A system for enhancing the accuracy of tumor change detection - PROJECT SUMMARY This project proposes to continue the development of AutoRegisterTM: an integrated software-based system for enhancing the accuracy of tumor change detection. The intent of the system is to automate the alignment of a patient's brain scan with that of a prior scan such that subsequent offline tumor measurements do not have error introduced solely by differing slice orientations. While similar to current technologies, such as Siemens AutoAlign, the proposed technology is not sensitive to the inherent noise of such generic, landmark-based techniques. AutoRegisterTM exemplifies personalized medicine: it uses the patient's previous data as its own reference. Additionally, the proposed technology is based upon a novel registration algorithm that is robust to atypical anatomy, such as a tumor, which often adversely affects techniques such as AutoAlign. In the United States, there are an estimated 13,000 deaths per year due to tumors in the primary central nervous system. Standard and experimental therapies rely on accurate measurement of tumor size change to assess treatment response and guide clinical decision-making during treatment and clinical trials. The project will continue to translate existing technology developed by CorticoMetrics and the Martinos Center for Biomedical Imaging at the Massachusetts General Hospital (MGH). Our objectives are to: 1) create a commercial-ready, and regulatory-compliant, software medical device based on work conducted in Phase I; 2) further develop our reference integration with Siemens MRI scanners for validation, demonstration and research purposes; and 3) continue to gather validation data with the ongoing assistance of Phase I collaborators conducting imaging of glioblastoma patients, and by establishing new collaborations. AutoRegisterTM employs a novel 3D MR image registration algorithm designed by advisors Drs. Reuter and Fischl, which achieves highly accurate alignment both within-subject and within-modality, and ignores brain- imaging voxels for which no feasible matches exists due to inherent changes, such as tumor tissue and surrounding localized mass or edema effects. The co-PI on the project, Dr. van der Kouwe, is a renowned MRI head-motion correction expert and is the original creator of Siemens' AutoAlign: the closest competitor to the CorticoMetrics' AutoRegisterTM system.


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: 2021 ( Subtotal = -$20,826 )
2021	2018	CORTICOMETRICS LLC	128 GRANITE ST	ROCKPORT	MA	01966	ESSEX	USA	Cancer Detection and Diagnosis Research	000	3	7/13/2021	NON-COMPETING CONTINUATION	-$20,826
														Subtotal = -$20,826

Issue Date FY: 2020 ( Subtotal = $0 )
2020	2018	CORTICOMETRICS LLC	128 GRANITE ST	ROCKPORT	MA	01966	ESSEX	USA	Cancer Detection and Diagnosis Research	000	3	4/13/2020	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2018 ( Subtotal = $750,000 )
2018	2018	CORTICOMETRICS LLC	6 ADMIRALS WAY UNIT 4	CHELSEA	MA	02150	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	3	4/24/2018	NON-COMPETING CONTINUATION	$750,000
														Subtotal = $750,000

Issue Date FY: 2017 ( Subtotal = $750,000 )
2017	2017	CORTICOMETRICS LLC	6 ADMIRALS WAY UNIT 4	CHELSEA	MA	02150	SUFFOLK	USA	Cancer Detection and Diagnosis Research	000	2	2/6/2017	COMPETING CONTINUATION	$750,000
														Subtotal = $750,000

Grand Total All Awards = $1,479,174

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AutoRegister: A system for enhancing the accuracy of tumor change detection

Award Number: R42CA183150

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 07/01/2014

PERIOD OF PERFORMANCE END DATE: 03/31/2021

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