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Computer-Aided Diagnosis to Enhance Thoracic CT Imaging

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
53872
Program Year/Program:
2001 / SBIR
Agency Tracking Number:
1R43CA091693-01
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
CAELUM RESEARCH CORP.
30 W Gude Drive Suite 200 Rockville, MD 20850-1177
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Woman-Owned: Yes
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2001
Title: Computer-Aided Diagnosis to Enhance Thoracic CT Imaging
Agency: HHS
Contract: N/A
Award Amount: $99,948.00
 

Abstract:

DESCRIPTION (Provided by Applicant): A computer aided diagnosis (CAD) method is proposed to assist radiologists in detecting pulmonary cancer in thoracic computed tomography (CT). Specifically, Phase I's aim is to assist radiologists (1) to compare current and previous thoracic CT scans to identify new findings or to assess the effects of treatments on lung cancer; (2) to interpret the same CT image containing two anatomic structures (lung and mediastinum) rapidly and efficiently; (3) to identify the malignancy of nodules by determining and removing vessels and bronchi connecting with nodule suspects; and (4) to provide other CAD functions to enhance the display capability for diagnosis of CT images. In this project, we will (1) collect numerous CT images, (2) develop sequence matching method between two CT scans, (3) develop dual window-level function to facilitate viewing, (4) develop 3-D tree construction method to identify the malignancy of lesions, and (5) develop additional functions to enhance the CAD-specific display capabilities Our R&D work will extend our existing CAD technology for lung cancer detection from chest x-ray images to CT images and introduce CAD-specific display system in the detection and diagnosis of lung cancer. The success of this project will eventually lead to an efficient, cost-effective, robust, and user-friendly system improving the accuracy and speed of lung cancer detection. PROPOSED COMMERCIAL APPLICATION: A computer aided diagnosis method will be developed in order to assist radiologists efficiently in the detection of lung cancer. This method will enhance the current patient care system. The proposed R & D will also provide an effective tool to improve the diagnosis of other diseases by using CT imaging.

Principal Investigator:

Yuanming F. Lure

Business Contact:


3015931748
MYEH@CAELUM.COM
Small Business Information at Submission:

CAELUM RESEARCH CORPORATION
11229 LOCKWOOD DR SILVER SPRING, MD 20901

EIN/Tax ID: 521512616
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No