MR Breast Perfusion Analysis System (BPAS)

Author

Suri, Jasjit S. ; Antloga, Lou ; Reden, Laura

Author_Institution

Marconi Med. Syst. Inc., Cleveland, OH, USA

fYear

2001

fDate

2001

Firstpage

85

Lastpage

90

Abstract

Given the pre- and post-contrast gadolinium magnetic resonance (MR) images of any body organ, the uptake curve estimation has diagnostic utility in the area of medicine. The rate of absorption of the contrast agent (gadolinium) by lesions can show what type of lesion it is and can also be an indication of the malignancy stage. The differences in contrast enhancement rates can be used to distinguish between benign and malignant lesions. Oncologists/radiologists and internists can classify the type of malignancy by looking at the quantitative characteristics of the tissue signal enhancement. The slopes of the uptake curve can indicate the level and type of malignancy. Such a classification is called functional segmentation. This paper presents the user-friendly MR Breast Perfusion Analysis System (BPAS), based on Motif using C/C++ and X Windows libraries, that runs on Digital Unix and XP1000 workstations supporting the Unix and Linux operating systems, respectively. We tested our software on 20 patient studies from the data collected from two major sites in the USA and Europe

Keywords

Unix; biological tissues; biomedical MRI; computer aided analysis; haemorheology; image classification; image enhancement; image segmentation; mammography; medical image processing; tumours; BPAS; Breast Perfusion Analysis System; C language; C++ language; Digital Unix workstations; Europe; Gd; Linux operating system; MRI; Motif; USA; X Windows libraries; XP1000 workstations; benign lesions; body organs; contrast agent absorption rate; contrast agent uptake curve estimation; contrast enhancement rate; functional segmentation; magnetic resonance images; malignancy classification; malignancy stage; malignant lesions; medical diagnosis; oncology; patient studies; radiology; tissue signal enhancement; user-friendly software; Biomedical imaging; Breast; Cancer; Electromagnetic wave absorption; Lesions; Magnetic analysis; Magnetic resonance; Medical diagnostic imaging; Software libraries; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on

Conference_Location

Bethesda, MD

ISSN

1063-7125

Print_ISBN

0-7695-1004-3

Type

conf

DOI

10.1109/CBMS.2001.941702

Filename

941702