A heuristic approach to automated nipple detection in digital mammograms.

Abstract:

:In this paper, a heuristic approach to automated nipple detection in digital mammograms is presented. A multithresholding algorithm is first applied to segment the mammogram and separate the breast region from the background region. Next, the problem is considered separately for craniocaudal (CC) and mediolateral-oblique (MLO) views. In the simplified algorithm, a search is performed on the segmented image along a band around the centroid and in a direction perpendicular to the pectoral muscle edge in the MLO view image. The direction defaults to the horizontal (perpendicular to the thoracic wall) in case of CC view images. The farthest pixel from the base found in this direction can be approximated as the nipple point. Further, an improved version of the simplified algorithm is proposed which can be considered as a subclass of the Branch and Bound algorithms. The mean Euclidean distance between the ground truth and calculated nipple position for 500 mammograms from the Digital Database for Screening Mammography (DDSM) database was found to be 11.03 mm and the average total time taken by the algorithm was 0.79 s. Results of the proposed algorithm demonstrate that even simple heuristics can achieve the desired result in nipple detection thus reducing the time and computational complexity.

journal_name

J Digit Imaging

authors

Jas M,Mukhopadhyay S,Chakraborty J,Sadhu A,Khandelwal N

doi

10.1007/s10278-013-9575-x

subject

Has Abstract

pub_date

2013-10-01 00:00:00

pages

932-40

issue

5

eissn

0897-1889

issn

1618-727X

journal_volume

26

pub_type

杂志文章
  • Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review.

    abstract::Breast cancer is the most common type of malignancy diagnosed in women. Through early detection and diagnosis, there is a great chance of recovery and thereby reduce the mortality rate. Many preliminary tests like non-invasive radiological diagnosis using ultrasound, mammography, and MRI are widely used for the diagno...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-019-00295-z

    authors: Das A,Nair MS,Peter SD

    更新日期:2020-10-01 00:00:00

  • Information retrieval for teaching files: a preliminary study.

    abstract::A computer algorithm for information retrieval from an electronic teaching file has been developed. This index enables the user to retrieve cases from a teaching file, based on the input of a combination of features. The algorithm is based on nearest neighbor analysis, and is programmed in the "C" language. A teaching...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/BF03167602

    authors: Bramble JM,Insana MF,Dwyer SJ 3rd

    更新日期:1990-08-01 00:00:00

  • Comparative performance analysis of state-of-the-art classification algorithms applied to lung tissue categorization.

    abstract::In this paper, we compare five common classifier families in their ability to categorize six lung tissue patterns in high-resolution computed tomography (HRCT) images of patients affected with interstitial lung diseases (ILD) and with healthy tissue. The evaluated classifiers are naive Bayes, k-nearest neighbor, J48 d...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-008-9158-4

    authors: Depeursinge A,Iavindrasana J,Hidki A,Cohen G,Geissbuhler A,Platon A,Poletti PA,Müller H

    更新日期:2010-02-01 00:00:00

  • A novel medical image quality index.

    abstract::A novel medical image quality index using grey relational coefficient calculation is proposed in this study. Three medical modalities, DR, CT and MRI, using 30 or 60 images with a total of 120 images used for experimentation. These images were first compressed at ten different compression ratios (10 ∼ 100) using a med...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-010-9353-y

    authors: Lin SC,Lin YC,Feng WS,Wu JM,Chen TJ

    更新日期:2011-10-01 00:00:00

  • Local and Non-local Regularization Techniques in Emission (PET/SPECT) Tomographic Image Reconstruction Methods.

    abstract::Emission tomographic image reconstruction is an ill-posed problem due to limited and noisy data and various image-degrading effects affecting the data and leads to noisy reconstructions. Explicit regularization, through iterative reconstruction methods, is considered better to compensate for reconstruction-based noise...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-015-9853-x

    authors: Ahmad M,Shahzad T,Masood K,Rashid K,Tanveer M,Iqbal R,Hussain N,Shahid A,Fazal-E-Aleem

    更新日期:2016-06-01 00:00:00

  • A Web simulation of medical image reconstruction and processing as an educational tool.

    abstract::Web educational resources integrating interactive simulation tools provide students with an in-depth understanding of the medical imaging process. The aim of this work was the development of a purely Web-based, open access, interactive application, as an ancillary learning tool in graduate and postgraduate medical ima...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-014-9689-9

    authors: Papamichail D,Pantelis E,Papagiannis P,Karaiskos P,Georgiou E

    更新日期:2015-02-01 00:00:00

  • A content-boosted collaborative filtering algorithm for personalized training in interpretation of radiological imaging.

    abstract::Devising a method that can select cases based on the performance levels of trainees and the characteristics of cases is essential for developing a personalized training program in radiology education. In this paper, we propose a novel hybrid prediction algorithm called content-boosted collaborative filtering (CBCF) to...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-014-9678-z

    authors: Lin H,Yang X,Wang W

    更新日期:2014-08-01 00:00:00

  • Minimizing Digital Imaging and Communications in Medicine (DICOM) Modality Worklist patient/study selection errors.

    abstract::Frequently when patient and study identification information (patient name, patient identification, date of birth, sex, and accession number) are manually entered at a modality, typographical errors occur that have to be corrected before the acquired images can be matched to the proper patient and study on a picture a...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/BF03190323

    authors: Kuzmak PM,Dayhoff RE

    更新日期:2001-06-01 00:00:00

  • Automated Facial Recognition of Computed Tomography-Derived Facial Images: Patient Privacy Implications.

    abstract::The recognizability of facial images extracted from publically available medical scans raises patient privacy concerns. This study examined how accurately facial images extracted from computed tomography (CT) scans are objectively matched with corresponding photographs of the scanned individuals. The test subjects wer...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-016-9932-7

    authors: Parks CL,Monson KL

    更新日期:2017-04-01 00:00:00

  • Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules.

    abstract::Lung cancer has the highest mortality rate of all cancers, and early detection can improve survival rates. In the recent years, low-dose CT has been widely used to detect lung cancer. However, the diagnosis is limited by the subjective experience of doctors. Therefore, the main purpose of this study is to use convolut...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-020-00333-1

    authors: Zhao J,Zhang C,Li D,Niu J

    更新日期:2020-08-01 00:00:00

  • Development of a research dedicated archival system (TARAS) in a university hospital.

    abstract::Recent healthcare policies have influenced the manner in which patient data is handled in research projects, and the regulations concerning protected health information have become significantly tighter. Thus, new procedures are needed to facilitate research while protecting the confidentiality of patient data and ens...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-010-9350-1

    authors: Rajala T,Savio S,Penttinen J,Dastidar P,Kähönen M,Eskola H,Miettunen R,Turjanmaa V,Järvenpää R

    更新日期:2011-10-01 00:00:00

  • Large-Scale Assessment of Scan-Time Variability and Multiple-Procedure Efficiency for Cross-Sectional Neuroradiological Exams in Clinical Practice.

    abstract::Scheduling of CT and MR exams requires reasonable estimates for expected scan duration. However, scan-time variability and efficiency gains from combining multiple exams are not quantitatively well characterized. In this work, we developed an informatics approach to quantify typical duration, duration variability, and...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-019-00252-w

    authors: Zhang R,Narra VR,Kansagra AP

    更新日期:2020-02-01 00:00:00

  • Online availability check of teleradiology components.

    abstract::For a region-wide teleradiology network in Germany a vendor-independent Uptime-server concept was defined. The Uptime-server was realized for the availability check and prospective error-detection of the emergency teleradiology servers and clients based on encrypted digital imaging and communication in medicine (DICOM...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-006-1044-3

    authors: Weisser G,Ruggiero S,Runa A,Düber C,Neff W,Walz M

    更新日期:2007-12-01 00:00:00

  • Variability of semiautomated lung nodule volumetry on ultralow-dose CT: comparison with nodule volumetry on standard-dose CT.

    abstract::The study investigates the effect of a substantial dose reduction on the variability of lung nodule volume measurements by assessing and comparing nodule volumes using a dedicated semiautomated segmentation software on ultralow-dose computed tomography (ULD-CT) and standard-dose computed tomography (SD-CT) data. In 20...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-008-9157-5

    authors: Hein PA,Romano VC,Rogalla P,Klessen C,Lembcke A,Bornemann L,Dicken V,Hamm B,Bauknecht HC

    更新日期:2010-02-01 00:00:00

  • A model for achieving total quality-management information technology infrastructure within an integrated delivery system.

    abstract::The strategic development and deployment of a health management information technology infrastructure is discussed from two perspectives for radiologists and for other medical technologists: the integrated delivery system (IDS) perspective and a total quality-management (TQM) perspective. On the one hand, an IDS persp...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/BF03168176

    authors: Tan JK

    更新日期:1998-11-01 00:00:00

  • Elastic registration of x-ray mammograms and three-dimensional magnetic resonance imaging data.

    abstract::Major problems in treating breast cancer are the early detection of tumors and accurate biopsy of small volumes of breast (mamma) tissue. This report presents an elastic registration algorithm of two x-ray mammograms and a corresponding magnetic resonance imaging (MRI) volume. To cope with the soft tissue deformation ...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/BF03190295

    authors: Ruiter NV,Müller TO,Stotzka R,Kaiser WA

    更新日期:2001-06-01 00:00:00

  • A Narrative Review on Clinical Applications of fNIRS.

    abstract::Functional near-infrared spectroscopy (fNIRS) is a relatively new imaging modality in the functional neuroimaging research arena. The fNIRS modality non-invasively investigates the change of blood oxygenation level in the human brain utilizing the transillumination technique. In the last two decades, the interest in t...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章,评审

    doi:10.1007/s10278-020-00387-1

    authors: Rahman MA,Siddik AB,Ghosh TK,Khanam F,Ahmad M

    更新日期:2020-10-01 00:00:00

  • Distributing digital imaging and communications in medicine data and optimizing access over satellite networks.

    abstract::To improve radiology access to full uncompressed Digital Imaging and Communications in Medicine (DICOM) data sets, we evaluated satellite access to a DICOM server. Radiologists' home computers were connected by satellite to a Medweb DICOM server (Medweb, San Francisco, CA). A 10.2-kb data set containing a 19-image hea...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/BF03168799

    authors: Ernst RD,Kawashima A,Shepherd W,Tamm EP,Sandler CM

    更新日期:1999-05-01 00:00:00

  • INDIAM--an e-learning system for the interpretation of mammograms.

    abstract::We propose the design of a teaching system named Interpretation and Diagnosis of Mammograms (INDIAM) for training students in the interpretation of mammograms and diagnosis of breast cancer. The proposed system integrates an illustrated tutorial on radiology of the breast, that is, mammography, which uses education te...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-008-9111-6

    authors: Guliato D,Bôaventura RS,Maia MA,Rangayyan RM,Simedo MS,Macedo TA

    更新日期:2009-08-01 00:00:00

  • White matter fiber tracking computation based on diffusion tensor imaging for clinical applications.

    abstract::Fiber tracking allows the in vivo reconstruction of human brain white matter fiber trajectories based on magnetic resonance diffusion tensor imaging (MR-DTI), but its application in the clinical routine is still in its infancy. In this study, we present a new software for fiber tracking, developed on top of a general-...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-006-0773-7

    authors: Dellani PR,Glaser M,Wille PR,Vucurevic G,Stadie A,Bauermann T,Tropine A,Perneczky A,von Wangenheim A,Stoeter P

    更新日期:2007-03-01 00:00:00

  • Automatically correlating clinical findings and body locations in radiology reports using MedLEE.

    abstract::In this paper, we describe and evaluate a system that extracts clinical findings and body locations from radiology reports and correlates them. The system uses Medical Language Extraction and Encoding System (MedLEE) to map the reports' free text to structured semantic representations of their content. A lightweight r...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-011-9411-0

    authors: Sevenster M,van Ommering R,Qian Y

    更新日期:2012-04-01 00:00:00

  • Freehand liver volumetry by using an electromagnetic pen tablet: accuracy, precision, and rapidity.

    abstract::The purpose of this study is to assess the accuracy, precision, and rapidity of liver volumes calculated by using a freehand electromagnetic pen tablet contourtracing method as compared with the volumes calculated by using the standard optical mouse contourtracing method. The imaging data used as input for accuracy an...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-010-9291-8

    authors: Perandini S,Faccioli N,Inama M,Pozzi Mucelli R

    更新日期:2011-04-01 00:00:00

  • Detection of breast cancer with a computer-aided detection applied to full-field digital mammography.

    abstract::A study was conducted to evaluate the sensitivity of computer-aided detection (CAD) with full-field digital mammography in detection of breast cancer, based on mammographic appearance and histopathology. Retrospectively, CAD sensitivity was assessed in total group of 152 cases for subgroups based on breast density, ma...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-012-9564-5

    authors: Murakami R,Kumita S,Tani H,Yoshida T,Sugizaki K,Kuwako T,Kiriyama T,Hakozaki K,Okazaki E,Yanagihara K,Iida S,Haga S,Tsuchiya S

    更新日期:2013-08-01 00:00:00

  • Can paper replace laser film to communicate the results of wrist radiographs in trauma cases? A reproducibility study of the reading of wrist trauma case radiographs on a PACS workstation, laser film, and paper.

    abstract::The main goal of this study was to determine the reproducibility of the reading of wrist trauma case radiographs using three different media: laser film, a picture archiving and communication systems (PACS) workstation, and paper with an optimized layout. The study was conducted retrospectively in 200 consecutive pati...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-013-9613-8

    authors: Teixeira P,Zabel JP,Baumann C,Albizzati S,Coudane H,Winninger D,Blum A

    更新日期:2013-12-01 00:00:00

  • Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy.

    abstract::Content-based medical image retrieval (CBMIR) is a powerful resource to improve differential computer-aided diagnosis. The major problem with CBMIR applications is the semantic gap, a situation in which the system does not follow the users' sense of similarity. This gap can be bridged by the adequate modeling of simil...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-015-9809-1

    authors: Bedo MV,Pereira Dos Santos D,Ponciano-Silva M,de Azevedo-Marques PM,Ferreira de Carvalho AP,Traina C Jr

    更新日期:2016-02-01 00:00:00

  • Development of a noise reduction filter algorithm for pediatric body images in multidetector CT.

    abstract::Recently, several types of post-processing image filter which was designed to reduce noise allowing a corresponding dose reduction in CT images have been proposed and these were reported to be useful for noise reduction of CT images of adult patients. However, these have not been reported on adaptation for pediatric p...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-009-9218-4

    authors: Nishimaru E,Ichikawa K,Okita I,Tomoshige Y,Kurokawa T,Nakamura Y,Suzuki M

    更新日期:2010-12-01 00:00:00

  • Segmentation by evolution for visualization of the lower extremity of the Visible Man.

    abstract::Medical image segmentation is the crucial process for three-dimensional (3D) modeling. Many studies have claimed to suggest more accurate ways of segmentation. However, such research seems to have the drawback that it works against the parsimony principle. These methods have to resegment the regions of interest (ROIs)...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/BF03190342

    authors: Lee JW,Lee J,Kim D,Kim JH,Park KS,Kang HS

    更新日期:2001-06-01 00:00:00

  • Detection of cancerous masses in mammograms by template matching: optimization of template brightness distribution by means of evolutionary algorithm.

    abstract::Optimization of brightness distribution in the template used for detection of cancerous masses in mammograms by means of correlation coefficient is presented. This optimization is performed by the evolutionary algorithm using an auxiliary mass classifier. Brightness along the radius of the circularly symmetric templat...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-011-9402-1

    authors: Bator M,Nieniewski M

    更新日期:2012-02-01 00:00:00

  • Adding a microcomputer bar-code network to a minicomputer-based radiology information system.

    abstract::A bar-code terminal network under software control of a microcomputer was added to the minicomputer-based radiology information system at the Medical College of Georgia in Augusta. The bar-code network was specifically installed to address the inherent inaccuracies occurring when procedure information was entered at t...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/BF03168107

    authors: David G,Gregory S

    更新日期:1990-02-01 00:00:00

  • Minimizing Barriers in Learning for On-Call Radiology Residents-End-to-End Web-Based Resident Feedback System.

    abstract::Feedback is an essential part of medical training, where trainees are provided with information regarding their performance and further directions for improvement. In diagnostic radiology, feedback entails a detailed review of the differences between the residents' preliminary interpretation and the attendings' final ...

    journal_title:Journal of digital imaging

    pub_type: 杂志文章

    doi:10.1007/s10278-017-0015-1

    authors: Choi HH,Clark J,Jay AK,Filice RW

    更新日期:2018-02-01 00:00:00