Magnetic resonance imaging in the diagnosis of breast disease

Dash, Nilima; Lupetin, A R; Daffner, RH; Zl, Deeb; Sefczek, RJ; Rl, Schapiro

doi:10.2214/ajr.146.1.119

Cited by 50 publications

(15 citation statements)

References 6 publications

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“…However, in the T 1 -weighted images recorded prior drawn at various time points after its injection and determined the average values of a 1 , m 1 , a 2 , and m 2 in immunodeficient to GdDTPA administration, the contrast between necrotic and viable regions was too low for their resolution (see mice by using Eq. [3]. The remaining two unknown parameters, K, the vascular permeability, and £ 1 , the fraction of extracellular example in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…T 2 -weighted images decay equation (Eq. [3]). The best fitted amplitudes (a 1 and of the same slices are also shown for demonstrating the a 2 ) and decay rates (m 1 and m 2 ), characteristic for GdDTPA distribution of gross histopathological features, primarily lopharmacokinetics in nude mice, are summarized in Table 1 …”

Section: Resultsmentioning

confidence: 99%

“…This was followed by a bolus [3] where T t 10 is the T 1 of the tumor before administration of GdDTPA. We have verified that under the applied experiwhere D is the tracer dose, a 1 and m 1 are the amplitude and mental conditions (the dose of GdDTPA and the MRI spin decay rate of the passive diffusion of the contrast agent from echo parameters) the enhancement increased linearly with the intravascular volume to the extracellular volume of the GdDTPA concentration in the range of 0-1.5 mM.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, as a result improve the detection and diagnosis of breast diseases (1, 2 of tumor heterogeneity in microscopic and macroscopic and references cited therein). Unfortunately, attempts to di-terms the time evolution of contrast enhancement varies in agnose breast lesions by MRI on the basis of T 1 or T 2 contrast space in an unpredictable manner, and therefore maintaining have been shown to be complex and indeterminate (2,3). high spatial resolution in both the recording and analysis Alternatively, contrast-enhanced MRI has enabled the accu-steps is very important.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Contrast-Enhanced Imaging and Analysis at High Spatial Resolution of MCF7 Human Breast Tumors

Furman‐Haran

Grobgeld

Degani

1997

Journal of Magnetic Resonance

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic Contrast-Enhanced Imaging and Analysis at High Spatial Resolution of MCF7 Human Breast Tumors

Furman‐Haran

Grobgeld

Degani

1997

Journal of Magnetic Resonance

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“…Tumar shapc, by itscrlf. appears to be an important prognostic indicator (21). Fourtli, tumor gmwth rate (22).…”

Section: Extension To 3dmentioning

confidence: 99%

Breast image registration using a textural transformation

Sivaramakrishna

1998

Medical Physics

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(c)Permission h u betn granted to the Library of The Univenity of Manitoba to leud o r se11 copies of this thesidpracticum, to the National Libmry of Canada to micronlm thu thesis and to lend or sel1 copies of the film, and to Dissertations Abstracts International to publisb an abstract of t h h thesWpnicticum.The author reserves other publication rights, and neither t h b thesis/prncticum nor extensive estmcts from it may be p n n t d o r otherwise reproduced without the author's d t t e n permission. AbstractBreast cancer codd be cured 99.4% if ail tumors are detected by the time they.a reach 0.4 cm. However, since many normal structures in the breast will be of this magnitude, to detect small tumors we need to aiign two breast images taken some time apart and subtract them. Hence image registration is important for breast imaging.Image registratbn consiats in identifjbg correspondhg points in two images and interpolating between them. The low amttast and noise in bresst images permit few contrd points. to 8, for a 9 x 9 neighborhood. i -p: Starbyte trsnsformed images of Figiire 2.2b, uing protocols 1 to 8, for a 9 x 9 neighborhood. . . . . . 28 2.7 a -h: Starbyte transfonned images of Figure 2.k, using protocols 1 to 8, for a 9 x 9 neighborhood. i -p: Starbytr t r a n s f o d images of .24b, using profocois 1 to 8, for a 9 x 9 neighborhood. . . . . a -h:Starbyte transformed images of Figure 2.24c, using protocols 1 to 8, for a 9 x 9 neighborhood i -p: Starbyte transformed images of Figure 2.24d, using protocois 1 to 8, for a 9 x 9 neighborhood. . . . . 2.27a -h: Starbyte t r a n s f o 4 images of Figure 2.24e, using protocoIs 1 to 8, for a 9 x 9 neighborhood i -p: Starbyte transfonned images of Figure 2.24f, using protocols 1 to 8, for a 9 x 9 neighborhood. . . . . 3.4 a to p: Density slices in Figure 3.2 after OC operation with a "plus" SE. 72 3.5 a to p: Density slices in Figure 3.3 after OC operation with a '$lus" SE. 73 a -h:3.6 a to p: Density slioes in Figure 3.2 after OC operation with a 3 x 3 SE. 74 3.7 a to p: Density slioes in Figure 3.3 a h r OC operaion with a 3 x 3 SE. . . . . . . . .Registration achieved after using UICP with protocol 1. 138. . . . (2.2) 3. geometric transformation of the referenoe image by means of the mapping function to obtain the unwarped image with gray ievel resampling. Control point selectionThe problem of control point selection has been extensively studied in the literature. Intrinsic control points are markers which are pl& on the object king irnaged just for the purpose of registration and can be easily identified in both im- (Figure 2. la). Each sector is filled in with black or white, depending on whether the average value in the sector is below or above the picture density at the center of this neighborhood (or the average density over the whole neighborhood).Some such patterns will look like "stars", with bladr taking the value 0, and white taking the d u e 1. The bits assigned to the bladr and white sectors, when concatenated into a...

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Imaging techniques in breast cancer

Dershaw

Osborne

1989

Seminars in Surgical Oncology

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In the diagnosis of clinically inapparent breast cancer, mammography remains the most effective imaging modality, which is due in large part to its ability to detect microcalcifications. Of the ancillary modalities, sonography is the most useful because it readily differentiates cysts from other breast lesions. Internal mammary and axillary node imaging have been tried with varying levels of success, but false-positive and false-negative rates remain high with available techniques. Pulmonary metastases are best evaluated by chest X-ray with specificity increased by other imaging techniques. Liver and bone metastases may be screened for with isotope scans with computerized tomography, sonography, and magnetic resonance imaging, increasing the specificity of abnormal scans. CT and MRI are the most effective tools for evaluating CNS disease.

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Magnetic resonance imaging in the diagnosis of breast disease

Cited by 50 publications

References 6 publications

Dynamic Contrast-Enhanced Imaging and Analysis at High Spatial Resolution of MCF7 Human Breast Tumors

Dynamic Contrast-Enhanced Imaging and Analysis at High Spatial Resolution of MCF7 Human Breast Tumors

Breast image registration using a textural transformation

Imaging techniques in breast cancer

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