Architectural Distortion Detection
Architectural Distortion Detection - Related Videos
13:44
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Cited by 13 •
2013
We demonstrate methods for the detection of architectural distortion in prior mammograms. Oriented structures are analyzed using Gabor filters and phase portraits to detect sites of radiating tissue patterns. Each site is characterized and classified using measures to represent spiculating patterns. The methods should assist in the detection of breast cancer.
12:19
Tools to Study the Role of Architectural Protein HMGB1 in the Processing of Helix Distorting, Site-specific DNA Interstrand Crosslinks
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2016
Targeted DNA damage can be achieved by tethering a DNA damaging agent to a triplex-forming oligonucleotide (TFO). Using modified TFOs, DNA damage-specific protein association, and DNA topology modification can be studied in human cells by the utilization of modified chromatin immunoprecipitation assays and DNA supercoiling assays described herein.
07:03
Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
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Cited by 6 •
2017
This article describes the design and development of a sterilizable custom camera optical distortion calibration target for the peri-operative, fluid-immersed calibration of endoscopes during endoscopic interventions.
06:51
Measuring the Complete-arch Distortion of an Optical Dental Impression
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Cited by 4 •
2019
Here, we present a protocol to measure the degree of distortion at each part of the compete-arch digital impression acquired from an intraoral scanner with 3D-printed metal phantom with standard geometries.
01:02
¹H NMR: Interpreting Distorted and Overlapping Signals
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2024
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum. As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...
FAQs
Interpretation focuses on disruption of the expected tissue arrangement rather than on a single isolated finding. Radiating lines, focal retraction, and asymmetry can indicate that fibrous tissue, ducts, or parenchyma are being pulled out of their usual pattern. Recognizing these relationships helps identify a suspicious structural change even when the image lacks a clearly defined mass.
These tissue components normally contribute to an organized breast pattern that can be assessed on mammographic images. A localized change in their alignment may produce visible pulling, converging lines, or an asymmetric appearance. Evaluating the components together is important because the concern arises from altered spatial relationships, not necessarily from an obvious isolated abnormality.
Mass detection emphasizes a more discrete abnormal area, whereas this assessment examines whether the surrounding tissue pattern has become disrupted or retracted. The distinction matters because an abnormal structural pattern may be present without a distinct mass. Combining structural assessment with attention to other image findings can reduce the chance that an occult lesion is overlooked.
Computer-aided analysis can supplement expert image interpretation when assessing subtle structural patterns on mammographic images. Its role is increasingly relevant because radiating lines, focal retraction, or asymmetry may be difficult to recognize consistently. Used in the context of professional review, such analysis can support attention to findings that warrant further evaluation rather than replacing clinical interpretation.
Detection is followed by clinical assessment that determines whether additional imaging or biopsy should be considered. The finding is interpreted in relation to the mammographic appearance and the possibility of an occult abnormality. This process connects image-based recognition with management decisions, helping clinicians decide whether further evaluation is needed rather than treating every pattern as equivalent.
It is particularly relevant when breast imaging contains subtle structural abnormalities without an obvious mass. Identifying these patterns can support earlier evaluation of breast cancer and other breast abnormalities. The resulting information may influence additional imaging, biopsy decisions, and clinical management, while improving attention to lesions that might otherwise remain hidden on initial image review.