Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors

Pera, Vivian; Heffer, Erica L.; Siebold, Horst; Schütz, O.; Heywang‐Köbrunner, Sylvia H.; Götz, Linda; Heinig, A.; Fantini, Sergio

doi:10.1117/1.1578496

Cited by 46 publications

(37 citation statements)

References 13 publications

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“…Planar imaging in particular as compared to tomographic imaging is prone to errors due to curvature of the tissue boundary. Corrective methods have been successfully proposed, such as using a phase signal to correct for tissue curvature, 18 focusing on the second derivative of the overall remission image, 19 or utilizing scanner systems to outline the surface volume. 20 Thus the problem is not insurmountable, yet in many commercial systems this issue is largely ignored.…”

Section: Imaging With Light: Planar Techniquesmentioning

confidence: 99%

Image analysis methods for diffuse optical tomography

et al. 2006

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Three major analytical tools in imaging science are summarized and demonstrated relative to optical imaging in vivo. Standard resolution testing is optimal when infinite contrast is used and hardware evaluation is the goal. However, deep tissue imaging of absorption or fluorescent contrast agents in vivo often presents a different problem, which requires contrast-detail analysis. This analysis shows that the minimum detectable sizes are in the range of 1/10 the outer diameter, whereas minimum detectable contrast values are in the range of 10 to 20% relative to the continuous background values. This is estimated for objects being in the center of the domain being imaged, and as the heterogeneous region becomes closer to the surface, the lower limit on size and contrast can become arbitrarily low and more dictated by hardware specifications. Finally, if human observer detection of abnormalities in the images is the goal, as is standard in most radiological practice, receiver operating characteristic (ROC) curve and location receiver operating characteristic curve (LROC) are used. Each of these three major areas of image interpretation and analysis are reviewed in the context of medical imaging as well as how they are used to quantify the performance of diffuse optical imaging of tissue.

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Section: Imaging With Light: Planar Techniquesmentioning

confidence: 99%

Image analysis methods for diffuse optical tomography

et al. 2006

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“…Thus far, pilot in vivo bulk optical properties of breast tissue 12,13 and in vivo measurements of endogenous optical properties and endogenous tumor contrast have been reported. [5][6][7][8][13][14][15][16][17][18][19][20][21][22][23][24][25][26] The use of dynamic features 27 and exogeneous contrast agents 28,29 have also been investigated. In addition to using optical imaging as a stand-alone modality, optical imaging guided by ultrasound 30,31 and magnetic resonance imaging 32 ͑MRI͒ has also been tested.…”

Section: Introduction: Significance Of Combining X-ray and Optical Brmentioning

confidence: 99%

Coregistered tomographic x-ray and optical breast imaging: initial results

Zhang

Brukilacchio²,

et al. 2005

J. Biomed. Opt.

156

115

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We describe what is, to the best of our knowledge, the first pilot study of coregistered tomographic x-ray and optical breast imaging. The purpose of this pilot study is to develop both hardware and data processing algorithms for a multimodality imaging method that provides information that neither x-ray nor diffuse optical tomography (DOT) can provide alone. We present in detail the instrumentation and algorithms developed for this multimodality imaging. We also present results from our initial pilot clinical tests. These results demonstrate that strictly coregistered x-ray and optical images enable a detailed comparison of the two images. This comparison will ultimately lead to a better understanding of the relationship between the functional contrast afforded by optical imaging and the structural contrast provided by x-ray imaging.

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“…Heffer et al 58 used an 'oxygenation index' generated from frequency-domain measurements to show a decrease in carcinomas.…”

Section: Optical Tomographymentioning

confidence: 99%

“…Methods currently being pursued generally involve either compressing the breast between two parallel arrays of sources and detectors (or between plates over which individual sources and detectors are scanned) [55][56][57][58][59] , or coupling sources and detectors in one or more rings around the surface of the uncompressed breast 37,60,61 . The former approach is particularly appropriate for generating single projection images, while the latter is more readily able to yield depth information sufficient for a full 3D image reconstruction.…”

Section: Optical Tomographymentioning

confidence: 99%

Advances in Optical Spectroscopy and Imaging of Breast Lesions

Demos

Vogel

Gandjbakhche

2006

J Mammary Gland Biol Neoplasia

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Abstract:A review is presented of recent advances in optical imaging and spectroscopy and the use of light for addressing breast cancer issues. Spectroscopic techniques offer the means to characterize tissue components and obtain functional information in real time. Three-dimentional optical imaging of the breast using various illumination and signal collection schemes in combination with image reconstruction algorithms may provide a new tool for cancer detection and monitoring of treatment. 2 Chapter 1. BackgroundAccording to the National Institutes of Health, breast cancer is the most diagnosed nonskin cancer and the second leading cause of cancer death among women in the United States.Although the breast cancer diagnosis rate has increased, there has been a steady drop in the overall breast cancer death rate since the early 1990s. Depending on the size of the tumor and the involvement of the lymph nodes, survival rates can vary from 45-95%. The key problem with the breast is the variation in demographic size, texture, chemical composition, and age. X-ray mammography is the gold standard for breast cancer screening and detection. Mammography is most sensitive in women over 35-40 years of age because of their fatty breast composition 1 and less effective and sensitive in younger women because they have denser breasts 2 . For younger women, ultrasound is commonly used. Magnetic resonance imaging (MRI) can also play a significant role in the diagnosis and characterization of breast disease.According to the National Cancer Society, up to 10% of all breast cancers, roughly 20,000 cases per year in the U.S., are not discovered by X-ray mammography. Also, X-ray mammography uses ionizing radiation and requires uncomfortable breast compression. It also suffers from a significant number of false positives that often lead to unnecessary biopsy since biopsy is generally required to determine malignancy in most women with an abnormal Spatial and temporal contrasts in these properties may be uniquely useful for diagnosing disease.The objective of this work is to provide a comprehensive review of the progress of photonics methods to address breast cancer issues. This review is divided into three major focus areas: a) optical spectroscopy methods suitable for tissue evaluation in real time; b) noninvasive NIR spectroscopy for the acquisition of functional information; and c) optical imaging methods for functional tumor characterization. Chapter 2. Optical biopsy methodsThe term "optical biopsy" describes the use of optical spectroscopy to characterize tissue, and requires direct exposure of the tissue under examination to the light source. Consequently, its application in a clinical setting is best suited for intraoperative use to assist in exploring tissue in real time, or via thin fiberoptic needles that can reach the suspected location within the breast for a minimally invasive evaluation.The breast is complex; its multiple tissue components make it more difficult to classify using optical spectroscopy than other tissues (...

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Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors

Cited by 46 publications

References 13 publications

Image analysis methods for diffuse optical tomography

Image analysis methods for diffuse optical tomography

Coregistered tomographic x-ray and optical breast imaging: initial results

Advances in Optical Spectroscopy and Imaging of Breast Lesions

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