Study on Compression Induced Contrast in X-ray Mammograms Using Breast Mimicking Phantoms
نویسندگان
چکیده
X-ray mammography is commonly used to scan cancer or tumors in breast using low dose x-rays. But mammograms suffer from low contrast problem. The breast is compressed in mammography to reduce x-ray scattering effects. As tumors are stiffer than normal tissues, they undergo smaller deformation under compression. Therefore, image intensity at tumor region may change less than the background tissues. In this study, we try to find out compression induced contrast from multiple mammographic images of tumorous breast phantoms taken with different compressions. This is an extended work of our previous simulation study with experiment and more analysis. We have used FEM models for synthetic phantom and constructed a phantom using agar and n-propanol for simulation and experiment. The x-ray images of deformed phantoms have been obtained under three compression steps and a non-rigid registration technique has been applied to register these images. It is noticeably observed that the image intensity changes at tumor are less than those at surrounding which induce a detectable contrast. Addition of this compression induced contrast to the simulated and experimental images has improved their original contrast by a factor of about 1.4~2. We think the findings of this study will be helpful for clinical applications.
منابع مشابه
Toward Virtual Digital Mammograms for Research and Training in Tumor Detection
Research in the processing, compression, transmission, and interpretation of digital radiographic images requires evaluation of a wide variety of test images, varying in format, in spatial resolution, and in anatomic content. To evaluate the diagnostic performance of observers using novel versus conventional image formats, large numbers of test images containing known abnormalities are required...
متن کاملMRI Detection of Small Calcium Crystals in Air Bubble-free Agarose Phantoms: Potential Applications to Imaging Microcalcifications in Breast Cancer
Introduction: Clusters of calcium oxalate (CaOX) and hydroxyapatite (CaHA) crystals are generally associated with benign and malignant breast lesions, respectively. Such microcalcifications (microcalcs) are useful radiological indicators of early-stage, breast carcinoma. This study tests the detectability of these microcalcs by MRI, compared to conventional x-ray imaging methods, for potential ...
متن کاملContrast Enhancement of Mammograms for Rapid Detection of Microcalcification Clusters
Introduction Breast cancer is one of the most common types of cancer among women. Early detection of breast cancer is the key to reducing the associated mortality rate. The presence of microcalcifications clusters (MCCs) is one of the earliest signs of breast cancer. Due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...
متن کاملUsing X-Ray Mammograms to Assist in Microwave Breast Image Interpretation
Current clinical breast imaging modalities include ultrasound, magnetic resonance (MR) imaging, and the ubiquitous X-ray mammography. Microwave imaging, which takes advantage of differing electromagnetic properties to obtain image contrast, shows potential as a complementary imaging technique. As an emerging modality, interpretation of 3D microwave images poses a significant challenge. MR image...
متن کاملX-ray spectra calculation for different target-filter of mammograms using MCNP Code
ABSTRACTBackground: An electron beam generated X-ray spectrum consists of characteristic X-ray and continuous bermsstrahlung. The aim of this research is calculating and comparing X-ray spectra for different target filter of mammograms. Materials and Methods: Monte Carlo is a very powerful tool to simulate a series of different target-filter assembly in order to calculate the X-ray spectra. MC...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015