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J E Desautels

Publications and source records attributed to J E Desautels.

16 recordsLinked to original sources
PubMed2001

Analysis of asymmetry in mammograms via directional filtering with Gabor wavelets.

This paper presents a procedure for the analysis of left-right (bilateral) asymmetry in mammograms. The procedure is based upon the detection of linear directional components by using a multiresolution representation based upon Gabor wavelets. A particular wavelet scheme with two-dimensional Gabor filters as elementary functions with varying tuning frequency and orientation, specifically designed in order to reduce the redundancy in the wavelet-based representation, is applied to the given image. The filter responses for different scales and orientation are analyzed by using the Karhunen-Loève (KL) transform and Otsu's method of thresholding. The KL transform is applied to select the principal components of the filter responses, preserving only the most relevant directional elements appearing at all scales. The selected principal components, thresholded by using Otsu's method, are used to obtain the magnitude and phase of the directional components of the image. Rose diagrams computed from the phase images and statistical measures computed thereof are used for quantitative and qualitative analysis of the oriented patterns. A total of 80 images from 20 normal cases, 14 asymmetric cases, and six architectural distortion cases from the Mini-MIAS (Mammographic Image Analysis Society, London, U.K.) database were used to evaluate the scheme using the leave-one-out methodology. Average classification accuracy rates of up to 74.4% were achieved.

Breast Neoplasms↗
PubMed2001

Detection of breast masses in mammograms by density slicing and texture flow-field analysis.

We propose a method for the detection of masses in mammographic images that employs Gaussian smoothing and sub-sampling operations as preprocessing steps. The mass portions are segmented by establishing intensity links from the central portions of masses into the surrounding areas. We introduce methods for analyzing oriented flow-like textural information in mammograms. Features based on flow orientation in adaptive ribbons of pixels across the margins of masses are proposed to classify the regions detected as true mass regions or false-positives (FPs). The methods yielded a mass versus normal tissue classification accuracy represented as an area (Az) of 0.87 under the receiver operating characteristics (ROCs) curve with a dataset of 56 images including 30 benign disease, 13 malignant disease, and 13 normal cases selected from the mini Mammographic Image Analysis Society database. A sensitivity of 81% was achieved at 2.2 FPs/image. Malignant tumor versus normal tissue classification resulted in a higher Az value of 0.9 under the ROC curve using only the 13 malignant and 13 normal cases with a sensitivity of 85% at 2.45 FPs/image. The mass detection algorithm could detect all the 13 malignant tumors successfully, but achieved a success rate of only 63% (19/30) in detecting the benign masses. The mass regions that were successfully segmented were further classified as benign or malignant disease by computing five texture features based on gray-level co-occurrence matrices (GCMs) and using the features in a logistic regression method. The features were computed using adaptive ribbons of pixels across the boundaries of the masses. Benign versus malignant classification using the GCM-based texture features resulted in Az = 0.79 with 19 benign and 13 malignant cases.

Algorithms↗
PubMed2000

Boundary modelling and shape analysis methods for classification of mammographic masses.

The problem of computer-aided classification of benign and malignant breast masses using shape features is addressed. The aim of the study is to look at the exceptions in shapes of masses such as circumscribed malignant tumours and spiculated benign masses which are difficult to classify correctly using common shape analysis methods. The proposed methods of shape analysis treat the object's boundary in terms of local details. The boundaries of masses analysed using the proposed methods were manually drawn on mammographic images by an expert radiologist (JELD). A boundary segmentation method is used to separate major portions of the boundary and to label them as concave or convex segments. To analyse the shape information localised in each segment, features are computed through an iterative procedure for polygonal modelling of the mass boundaries. Features are based on the concavity fraction of a mass boundary and the degree of narrowness of spicules as characterised by a spiculation index. Two features comprising spiculation index (SI) and fractional concavity (fcc) developed in the present study when used in combination with the global shape feature of compactness resulted in a benign/malignant classification accuracy of 82%, with an area (Az) of 0.79 under the receiver operating characteristics (ROC) curve with a database of the boundaries of 28 benign masses and 26 malignant tumours. SI alone resulted in a classification accuracy of 80% with Az of 0.82. The combination of all the three features achieved 91% accuracy of circumscribed versus spiculated classification of masses based on shape.

Algorithms↗
PubMed2000

Gradient and texture analysis for the classification of mammographic masses.

Computer-aided classification of benign and malignant masses on mammograms is attempted in this study by computing gradient-based and texture-based features. Features computed based on gray-level co-occurrence matrices (GCMs) are used to evaluate the effectiveness of textural information possessed by mass regions in comparison with the textural information present in mass margins. A method involving polygonal modeling of boundaries is proposed for the extraction of a ribbon of pixels across mass margins. Two gradient-based features are developed to estimate the sharpness of mass boundaries in the ribbons of pixels extracted from their margins. A total of 54 images (28 benign and 26 malignant) containing 39 images from the Mammographic Image Analysis Society (MIAS) database and 15 images from a local database are analyzed. The best benign versus malignant classification of 82.1%, with an area (Az) of 0.85 under the receiver operating characteristics (ROC) curve, was obtained with the images from the MIAS database by using GCM-based texture features computed from mass margins. The classification method used is based on posterior probabilities computed from Mahalanobis distances. The corresponding accuracy using jack-knife classification was observed to be 74.4%, with Az = 0.67. Gradient-based features achieved Az = 0.6 on the MIAS database and Az = 0.76 on the combined database. The corresponding values obtained using jack-knife classification were observed to be 0.52 and 0.73 for the MIAS and combined databases, respectively.

Breast Neoplasms↗
PubMed1997

Measures of acutance and shape for classification of breast tumors.

Most benign breast tumors possess well-defined, sharp boundaries that delineate them from surrounding tissues, as opposed to malignant tumors. Computer techniques proposed to date for tumor analysis have concentrated on shape factors of tumor regions and texture measures. While shape measures based on contours of tumor regions can indicate differences in shape complexities between circumscribed and spiculated tumors, they are not designed to characterize the density variations across the boundary of a tumor. In this paper we propose a region-based measure of image edge profile acutance which characterizes the transition in density of a region of interest (ROI) along normals to the ROI at every boundary pixel. We investigate the potential of acutance in quantifying the sharpness of the boundaries of tumors, and propose its application to discriminate between benign and malignant mammographic tumors. In addition, we study the complementary use of various shape factors based upon the shape of the ROI, such as compactness, Fourier descriptors, moments, and chord-length statistics to distinguish between circumscribed and spiculated tumors. Thirty-nine images from the Mammographic Image Analysis Society (MIAS) database and an additional set of 15 local cases were selected for this study. The cases included 16 circumscribed benign, seven circumscribed malignant, 12 spiculated benign, and 19 spiculated malignant lesions. All diagnoses were proven by pathologic examinations of resected tissue. The contours of the lesions were first marked by an expert radiologist using X-Paint and X-Windows on a SUN-SPARCstation 2 Workstation. For computation of acutance, the ROI boundaries were iteratively approximated using a split/merge and end-point adjustment technique to obtain the best-fitting polygonal approximation. The jackknife method using the Mahalanobis distance measure in the BMDP (Biomedical Programs) package was used for classification of the lesions using acutance and the shape factors as features in various combinations. Acutance alone resulted in a benign/malignant classification accuracy of 95% the MIAS cases. Compactness alone gave a circumscribed/spiculated classification rate of 92.3% with the MIAS cases. Acutance in combination with a moment-based shape measure and a Fourier descriptor-based measure gave four-group classification rate of 95% with the MIAS cases. The results indicate the importance of including lesion edge definition with shape information for classification of tumors, and that the proposed measure of acutance fills this need.

Breast Neoplasms↗
PubMed1997

Improvement of sensitivity of breast cancer diagnosis with adaptive neighborhood contrast enhancement of mammograms.

Mammograms are difficult to interpret, especially of cancers at their early stages. In this paper, we analyze the effectiveness of our adaptive neighborhood contrast enhancement (ANCE) technique in increasing the sensitivity of breast cancer diagnosis. Seventy-eight screen-film mammograms of 21 difficult cases (14 benign and seven malignant), 222 screen-film mammograms of 28 interval cancer patients and six benign control cases were digitized with a high-resolution of about 4096 x 2048 x 10-bit pixels and then processed with the ANCE method. Unprocessed and processed digitized mammograms as well as the original films were presented to six experienced radiologists for a receiver operating characteristic (ROC) evaluation for the difficult case set and to three reference radiologists for the interval cancer set. The results show that the radiologists' performance with the ANCE-processed images is the best among the three sets of images (original, digitized, and enhanced) in terms of area under the ROC curve and that diagnostic sensitivity is improved by the ANCE algorithm. All of the 19 interval cancer cases not detected with the original films of earlier mammographic examinations were diagnosed as malignant with the corresponding ANCE-processed versions, while only one of the six benign cases initially labeled correctly with the original mammograms was interpreted as malignant after enhancement. McNemar's tests of symmetry indicated that the diagnostic confidence for the interval cancer cases was improved by the ANCE procedure with a high level of statistical significance (p-values of 0.0001-0.005) and with no significant effect on the diagnosis of the benign control cases (p-values of 0.08-0.1). This study demonstrates the potential for improvement of diagnostic performance in early detection of breast cancer with digital image enhancement.

Breast Neoplasms↗
PubMed1994

Breast gigantism due to D-penicillamine.

One of the alarming side effects of D-penicillamine therapy is massive breast hypertrophy. This effect has been observed in nine patients to date. The author presents another case, including the first description of mammographic findings.

Breast Diseases↗
PubMed1993

Quality assurance and cancer detection rates in a provincial screening mammography program. Work in progress.

In 1990, a provincial screening program was inaugurated in Alberta, a Canadian province of 2.4 million people. The goal of the program is to decrease the number of deaths from breast cancer by 30% in women aged 50-69 years. In the first 18 months of program operations, efforts were concentrated on high levels of quality assurance in all areas of program activities. In particular, the abnormality referral rates, cancer detection rates, and size and stage of mammographically detected cancers were evaluated. Of the 9,553 women seen, 8,524 were between the ages of 50 and 69 years. Reported abnormality rates were initially more than 16%, but were brought down steadily to less than 5%. Cancer detection rates increased with age, ranging from 1.9 cancers detected per 1,000 women aged 40-49 years to 14.1 cancers per 1,000 women aged 70 years and older. Forty-one of the 61 cancers detected (67%) were less than 1.5 cm in diameter. Forty-three of the 52 cancers (83%) in which the nodal status was known were node negative. At the conclusion of the first 18 months of operation, interpretation parameters were within the target zones expected for a population-based screening program.

Adult↗
PubMed1992

Enhancement of true-positive rates for nonpalpable carcinoma of the breast through mammographic selection.

A retrospective review of 332 needle localization biopsies for nonpalpable mammographic abnormalities was performed. Twenty-one invasive and 12 noninvasive carcinomas were identified in this population, for a true positive biopsy rate of 10 percent. A review of all needle localization mammograms performed on these patients by a radiologist specializing in mammography identified 225 mammograms with a low probability of malignancy. In this group, there were four in situ and six invasive carcinomas (true positive biopsy rate of 4 percent). In the remaining 107 mammograms with a high probability of malignancy, there were eight in situ and 15 invasive carcinomas (true positive biopsy rate of 21.4 percent). In the low probability group, fine needle aspiration or excisional biopsy were recommended for six of the ten neoplasms and follow-up mammograms at three to six months for the remaining four (two in situ and two invasive carcinomas). Using selectivity, 225 biopsies could have been avoided at a savings of $97,368 (Canadian dollars) in fees for physicians alone while still identifying 29 of 33 neoplasms (87 percent of all neoplasms) and possibly delaying diagnosis for three to six months or longer in four of 33 neoplasms (13 percent, two in situ and two invasive) for which follow-up mammograms were recommended.

Adult↗
PubMed1991

High-resolution digital teleradiology: a perspective.

Teleradiology has come a long way, from analog transmission systems using slow-scan television over standard telephone lines, to present-day, commercially available, microcomputer-based, low-resolution teleradiology systems. However, there exists a need to address the high-resolution end of the medical imaging categories, namely chest radiographs and mammograms, to firmly establish teleradiology. The availability of high-resolution image digitizers, display units, and digital hard copiers has made high-resolution digital teleradiology a feasible concept. Although the use of satellite channels can speed up the transmission of radiographic image data, with widespread acceptance of high-resolution teleradiology systems in the foreseeable future, the sheer amount of data involved in this field will give rise to problems of data transmission and storage. Data compression schemes can bring down the amount of data handled and can have a great economic impact on future teleradiology systems. We have developed a number of compression techniques for reversible compression of medical images. Our experiments have shown that lossless compression of the order of 4:1 is possible for a class of high-resolution medical images. Use of pattern recognition techniques offers the potential to bring down these data rates even further. We plan to use these techniques in a prototype high-resolution teleradiology system being developed. In this paper, we trace some of the developments in teleradiology and image data compression, and present a perspective for teleradiology in the 1990s.

Radiographic Image Enhancement↗
PubMed1990

Malignant myoepithelioma of the breast: a case report.

Myoepithelioma of the breast is rare. It is usually benign but may be locally aggressive. Its clinical behavior is unknown, but if it follows the course of similar tumors of the salivary glands, the likelihood of systemic spread is very low. Mammographic findings are nonspecific, and ultimate identification is based on ultrastructural criteria.

Breast Neoplasms↗
PubMed1988

Pulmonary function testing in predicting complications from percutaneous lung biopsy.

Percutaneous needle biopsy is an accepted method of obtaining tissue for diagnosis of lung tumors. The depth of the lesion, size of the needle, operator experience, and the presence of emphysema have been identified as factors influencing the risk of postbiopsy pneumothorax, the most common complication. In this retrospective study of 308 patients, we enquired whether pulmonary function tests (available in 138 patients) and arterial PO2 (available in 103 patients) might predict the risk of pneumothorax following percutaneous needle biopsy. We found that as airway obstruction increases (FEV1.0/FVC less than 59% of predicted) or as arterial oxygenation decreases (PO2 less than 59 mm Hg), not only does the incidence of pneumothorax increase, but symptoms are more severe in that the number of pneumothoraces requiring chest tube drainage increases as well. We suggest that airway obstruction and arterial oxygenation are factors indicative of increased risk identifying patients who need close scrutiny after the procedure.

Airway Obstruction↗
PubMed1981

Separating Larsen syndrome from the "arthrogryposis basket".

Many patients with larsen syndrome have been misdiagnosed as having arthrogryposis. Larsen syndrome should be considered in any child with multiple joint dislocations, particularly when the knees are involved. Spinal malalignment of a serious degree was encountered in five of the six patients we report and appears to have been underemphasized previously. Two of the patients had unusual ossicles of uncertain derivation at the elbow. This has been described only five times before.

Adult↗
PubMed1980

Evaluation of mammography unit and rare earth screens for high resolution hand radiography.

Hand radiographs of an unselected group of ten patients obtained with a mammographic unit and a rare earth screen-film combination were compared with those obtained with a standard radiographic unit and industrial film, as well as those obtained with a standard radiographic unit and xeroradiography. Radiation dosages and costs were calculated. The radiographs obtained by the first method were most acceptable as regards to radiation dosage and quality.

Hand↗