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Pancreatic imaging. Computed tomography and magnetic resonance imaging.

In the assessment of patients with acute pancreatitis, CT is the modality of choice and should be used in any patient in whom the diagnosis is in doubt, treatment has not been successful, or complications are suspected. Early diagnosis of patients at risk is facilitated by CT, and newly introduced staging criteria have proved to be accurate and helpful in managing these patients. For chronic pancreatitis, CT, ultrasound, and ERCP can be used. ERCP, however, remains the gold standard, owing to its ability to depict the pancreatic duct accurately. Often the morphologic data need to be correlated with exocrine or endocrine dysfunction of the pancreas to obtain an accurate means of staging the severity of chronic pancreatitis. Great advances in imaging of pancreatic neoplasms have been made, and differentiation between various types of tumors involving this gland often can be ascertained. Nevertheless, at this time, the early diagnosis of small, malignant lesions of the pancreas is impossible in many cases. CT and to a lesser degree ultrasound are currently the methods of choice for detecting and staging the pancreatic neoplasms pictorially, whereas ERCP has established itself as the best method for visualizing the pancreatic duct and its changes related to pancreatic neoplasia. MR imaging of the pancreas has come a long way, and further improvements are expected with the use of oral and intravenous contrast agents. At present, MR imaging appears to be mainly a problem-solving modality, but it can show improved results for small lesions (particularly islet cell tumors), which do not alter the contour of the pancreas. MR imaging appears to be capable of discerning between the serous and mucinous components of cystic neoplasms and may have a role in the assessment of patients suspected of pancreas transplant rejection.

Acute Disease↗

Prospects for quantitative computed tomography imaging in the presence of foreign metal bodies using statistical image reconstruction.

X-ray computed tomography (CT) images of patients bearing metal intracavitary applicators or other metal foreign objects exhibit severe artifacts including streaks and aliasing. We have systematically evaluated via computer simulations the impact of scattered radiation, the polyenergetic spectrum, and measurement noise on the performance of three reconstruction algorithms: conventional filtered backprojection (FBP), deterministic iterative deblurring, and a new iterative algorithm, alternating minimization (AM), based on a CT detector model that includes noise, scatter, and polyenergetic spectra. Contrary to the dominant view of the literature, FBP streaking artifacts are due mostly to mismatches between FBP's simplified model of CT detector response and the physical process of signal acquisition. Artifacts on AM images are significantly mitigated as this algorithm substantially reduces detector-model mismatches. However, metal artifacts are reduced to acceptable levels only when prior knowledge of the metal object in the patient, including its pose, shape, and attenuation map, are used to constrain AM's iterations. AM image reconstruction, in combination with object-constrained CT to estimate the pose of metal objects in the patient, is a promising approach for effectively mitigating metal artifacts and making quantitative estimation of tissue attenuation coefficients a clinical possibility.

Algorithms↗

Use of a biocompatible fiducial marker in evaluating the accuracy of computed tomography image registration.

RATIONALE AND OBJECTIVES: Accurate registration of computed tomography (CT) images to the patient is crucial for computer-assisted surgery. Markers used in roentgen stereo-grammetric analysis (RSA) can be located in a CT scan using a novel approach and also can be located physically. Roentgen stereo-grammetric analysis data act as "ground truth" for the three-dimensional marker locations. METHODS: Two foam-bone phantoms were marked. The markers were scanned seven times with RSA, three times with axial CT, and contacted four times with a coordinate measuring arm. Root-mean-square (RMS) errors were derived for the registrations. RESULTS: Computed tomography and RSA data register to 0.15 mm RMS error. Computed tomography and arm data register to 0.25 mm. The markers are biocompatible, and the coordinate measuring arm is usable in an operating room. CONCLUSIONS: Typical in vitro registration errors are approximately 2 mm. The authors have developed a marker that provides superior registration, and a procedure that can be used for in vivo studies.

Biocompatible Materials↗

Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system.

We are developing a computer-aided diagnosis (CAD) system for lung nodule detection on thoracic helical computed tomography (CT) images. In the first stage of this CAD system, lung regions are identified by a k-means clustering technique. Each lung slice is classified as belonging to the upper, middle, or the lower part of the lung volume. Within each lung region, structures are segmented again using weighted k-means clustering. These structures may include true lung nodules and normal structures consisting mainly of blood vessels. Rule-based classifiers are designed to distinguish nodules and normal structures using 2D and 3D features. After rule-based classification, linear discriminant analysis (LDA) is used to further reduce the number of false positive (FP) objects. We performed a preliminary study using 1454 CT slices from 34 patients with 63 lung nodules. When only LDA classification was applied to the segmented objects, the sensitivity was 84% (53/63) with 5.48 (7961/1454) FP objects per slice. When rule-based classification was used before LDA, the free response receiver operating characteristic (FROC) curve improved over the entire sensitivity and specificity ranges of interest. In particular, the FP rate decreased to 1.74 (2530/1454) objects per slice at the same sensitivity. Thus, compared to FP reduction with LDA alone, the inclusion of rule-based classification lead to an improvement in detection accuracy for the CAD system. These preliminary results demonstrate the feasibility of our approach to lung nodule detection and FP reduction on CT images.

Adolescent↗

Comparative study of magnetic resonance imaging, computed tomography and histology in the assessment of liver iron overload.

Magnetic resonance imaging, computed tomography, and liver biopsy findings were compared in ten patients with serum ferritin levels over 500 ng/ml. The liver was observed as a low-intensity area on magnetic resonance imaging in all four patients with serum ferritin levels above 2,000 ng/ml, while no abnormalities were detected in four of the six patients with a serum ferritin level below 2,000 ng/ml. Computed tomography revealed the liver to be a high density area in five of the seven patients tested. However, it demonstrated no abnormality in a patient with steatosis despite a high serum ferritin concentration. Liver biopsy demonstrated iron deposits in nine of the ten patients. These findings indicate that liver biopsy remains the most accurate mean of detection of liver iron overload. Both magnetic resonance imaging and computed tomography could be used to be monitor the progress of a patient with liver iron overload treated by phlebotomy.

Adult↗

Polychromatic streak artifacts in computed tomography images.

A series of artifacts in computed tomography (CT) images, consisting of streaks coming off edges and flares surrounding the object being scanned, is shown to be due to polychromaticity of the X-ray beam. These artifacts are seldom seen on conventional CT brain scans. They are helpful in understanding artifacts such as those seen around the petrous bone of the skull. Following this, a comparison is made between "single energy" and "dual energy" correction schemes for poly-artifacts. The theoretical assumptions underlying either method are analyzed, and the importance of these concepts in dual energy reconstructions is stressed. A new test phantom is suggested to evaluate different poly-correction schemes. All the simulated projection data in this study are noise free and are reconstructed using an industrial convolution-back projection technique. In addition, reconstructions are shown of the phantom using real data taken with and without a water bag path length compensator.

Mathematics↗

The course of the inferior alveolar nerve in craniofacial microsomia: virtual dissection using three-dimensional computed tomography image analysis.

Computer-assisted medical imaging was used to locate the mandibular foramen and the portion of the inferior alveolar nerve canal at the level of the angle of the mandible in 19 hemimandibles of patients with craniofacial microsomia. The distance from each of these two points to the borders of the mandible was measured. The ratios of these distances to the height, anteroposterior, and buccolingual extents of the mandibular ramus were calculated. These ratios were compared among affected hemimandibles (Pruzansky classification I, n = 4; and Pruzansky classification II, n = 10), unaffected hemimandibles (n = 9), and the hemimandibles of patients with nonsyndromic, sutural synostosis (n = 7). Comparison of mean distance ratios showed that the mandibular foramen was located significantly more proximally in the affected cohort than in either the unaffected or synostosis control groups. The mandibular foramen was also located significantly closer to the buccal cortex of the mandible in the affected cohort when compared with unaffected patients. The distance from the mandibular foramen to the anterior or posterior tables of the mandible divided by the total anteroposterior distance did not vary among the three groups studied. The distance ratios between the inferior alveolar nerve canal at the level of the angle of the mandible and the mandibular borders also did not vary significantly among the groups studied. An inferior alveolar nerve canal could not be identified in any patient with Pruzansky grade III mandibular deficiency. This quantitative, three-dimensional description of points along the proximal path of the inferior alveolar nerve canal in patients with craniofacial microsomia provides useful information to assist the surgeon during osteotomy planning and may help in avoiding injury to the nerve at the time of surgery.

Child↗

Characterization of artifact simulating aortic dissection in computed tomography imaging.

An artifact simulating aortic dissection has been seen in computed tomography (CT) and reported in numerous journals. The purpose of this study is to determine the origin. A phantom was constructed to simulate the motion of the ascending aorta during the cardiac cycle. Technique factors such as scan time, slice thickness, pitch, and reconstruction algorithms were examined for their effect on the simulated dissection appearance. Change in the angle of the simulated aorta with respect to the scanner axis was also studied. CT images displaying the simulated aortic dissection are obtained reproducibly. The amplitude of the artifact is more pronounced for increased scan time. The artifact amplitude is proportional to the displacement of the phantom. The simulated aortic dissection seems to be more pronounced when the scan time is comparable to the cycling time of aortic motion.

Aortic Dissection↗

Automated discrimination and quantification of idiopathic pulmonary fibrosis from normal lung parenchyma using generalized fractal dimensions in high-resolution computed tomography images.

RATIONALE AND OBJECTIVES: We computed generalized fractal dimensions for high-resolution computed tomography (HRCT) images to investigate their value in the discrimination and quantification of idiopathic pulmonary fibrosis (IPF) from normal lung parenchyma. METHODS: A probability distribution that was based on the pixel value in each image was used to compute capacity, information, and higher fractal dimensions for a series of 52 HRCT slices obtained from four patients. Qualitative classification of normal, mild, moderate, and severe IPF cases was achieved by computing the following parameter: DD = D0 - 2D1 + D2, where D0, D1, and D2 represents the capacity, information, and pair correlation dimensions, respectively. A multiple linear regression analysis using morphometric quantification for the set of 52 slices was tested for all possible combinations of the parameters D0, D1, D2, and D3. The generalizability of the model was tested by predicting the extent of IPF for each patient from a regression model computed with the remaining slices in the database. RESULTS: The best regression results were obtained using the independent parameters D1 and D2 to quantify the extent of diseased lung parenchyma. The technique was tested with 48 slices from 12 new patients. The results indicated that the extent of IPF could be predicted within the confidence limits given by the regression analysis. CONCLUSION: The extent of IPF can be predicted well within the 90% confidence interval given by the model. The width of the confidence interval decreases as the number of slices used in the linear regression model increases. This operator-independent quantitative technique may be useful in the follow-up of patients with IPF.

Confidence Intervals↗

Opsoclonus-myoclonus syndrome with abnormal single photon emission computed tomography imaging.

The single photon emission computed tomography (SPECT) findings in 2 patients with opsoclonus-myoclonus syndrome (OMS) who had similar symptoms in the acute stage of the disease are described. In 1 patient with encephalitis, SPECT showed increased blood flow in most of the cerebellum; the highest accumulation of the radiotracer was found in the cerebellar vermis and neighboring structures. These changes disappeared with clinical improvement. In the other patient with chronic OMS, SPECT demonstrated hypoperfusion in most of the cerebellum. Our results suggest that the cerebellum, particularly its middle portion, is involved in the generation of OMS. SPECt is a useful method that enables us to detect in vivo functional impairment in patients with OMS.

Female↗

Advances in cardiac magnetic resonance imaging and computed tomography.

Imaging evaluation of the heart encompasses structural evaluation of the chambers, valves and coronary arteries, and functional evaluation, including assessment of perfusion, wall motion and myocardial viability. Magnetic resonance imaging is well established for the structural and functional evaluation of the heart, and benefits from direct multiplanar image acquisition and a lack of ionizing radiation. Magnetic resonance imaging assessment of myocardial viability after myocardial infarction appears to be helpful in predicting benefit from revascularization procedures. Magnetic resonance imaging continues to hold promise as the least invasive method of coronary artery evaluation, and continuing developments are improving image quality and decreasing examination time. The development of cardiac-gating techniques for multidetector computed tomography has the potential to provide widespread availability of cardiac computed tomography. Short examination times and straightforward scanning procedures promise a convenient method for the examination of cardiac structure and function. However, this convenience must be balanced against radiation dose and contrast-media requirements when determining the appropriate use of cardiac computed tomography. Computed tomography coronary-calcium scoring can aid in the prediction of significant coronary events in all but the lowest-risk patients. The high negative-predictive value of computed tomography coronary angiography may allow some patients to avoid cardiac catheterization, but its role in the assessment of patients with moderate coronary atherosclerosis remains unclear. New software tools can assist in the complex and tedious analysis of the large volumes of data produced by these examinations.

Heart Diseases↗

Multidetector computed tomography imaging of the spine.

This article discusses applications of multidetector computed tomography imaging of the spine as they were presented at the "Advances in Multidetector CT" meeting held in Washington, DC, September 13-14, 2003. These include imaging the spine in the setting of trauma, postoperative fusion, chronic pain, radiculopathy, or bony lesions and performing image-guided biopsies.

Humans↗

Beam hardening correction for computed tomography images using a postreconstruction method and equivalent tissue concept.

A postreconstruction method for correcting the beam-hardening artifacts in computed tomography (CT) images is proposed. This method does not require x-ray spectrum measurement. The authors assumed that a pixel in a CT image can be decomposed into equivalent tissue percentages, depending on its CT number. A scout view of the step wedges made of these equivalent tissues was performed to obtain a beam-hardening correction curve for each tissue. Projecting through the CT image from various angles generated simulated projection data and the total thickness of each tissue along the ray. The correction term was estimated using the tissue thickness traveled by the ray, and this term was then added to its corresponding projection data. A second reconstruction using the corrected projection data yielded a beam-hardening corrected image. The preliminary results show that this method reduces beam hardening artifacts by 14% for aluminum and increased the object contrast by 18% near the aluminum-water boundary. The variation in CT numbers at different locations were reduced, and the aluminum CT number also was restored.

Artifacts↗

Quantitative gated single photon emission computed tomography imaging: a counts-based method for display and measurement of regional and global ventricular systolic function.

BACKGROUND: Gated single photon emission computed tomography imaging allows simultaneous determination of myocardial perfusion and function. Quantitative perfusion measurements can be based on regional tracer uptake, but function measurements ordinarily require endocardial and epicardial edge detection, which is problematic because of the inherently low spatial resolution and image noise in single photon emission computed tomography images. This article presents methods for quantification of both function and perfusion that do not require edge detection. METHODS AND RESULTS: In SPECT imaging the partial volume effect causes changes in myocardial wall thickness to be reflected as changes in pixel counts in pixels representing the myocardial wall. This effect allows an estimation of changes in myocardial wall thickness by comparing pixel counts in end-systolic images with corresponding pixel counts in end-diastolic images. This article first describes a standard method to quantify myocardial perfusion by sampling myocardial tracer activity at rest and stress. The same method is then used to sample tracer activity in diastolic and systolic images. A new method is developed to convert the diastolic and systolic samples into quantitative estimates of regional wall thickening. A method is then developed to convert the regional wall thickening fractions into a global left ventricular ejection fraction. A normal database is presented. Receiver operating characteristic analysis is used to establish normal limits. CONCLUSION: This method requires no edge detection or geometric boundary estimates. Computer results are presented in a simple and intuitive format, which is uniform for parameters of both perfusion and function. The method is robust and produces relatively few false-positive results.

Databases as Topic↗

Direct reconstruction of single-photon emission computed tomography images using retained matrix elements.

In clinical applications, two methods of single-photon emission computed tomography (SPECT) reconstruction are widely used. These are filtered backprojection and iterative reconstruction. Filtered backprojection is fast and produces acceptable images. Iterative reconstruction is slow, but produces images of greater accuracy than backprojection. The authors sought to develop a method of SPECT reconstruction that would have the advantages of both established methods: close in speed to backprojection and with the accuracy of iterative reconstruction. This was accomplished by computing a direct solution to the set of linear equations governing SPECT reconstruction. We tested this method of SPECT reconstruction using a set of projections from a cold rod and sphere phantom. Direct reconstruction produced images having equivalent resolution to backprojected images, but with double the contrast ratio. The direct method required 10 seconds of computation per slice on a Macintosh Quadra 950 (Apple Computer; Cupertin, CA), significantly faster than most iterative methods.

Image Processing, Computer-Assisted↗

Current and future status on cardiac computed tomography imaging for diagnosis and risk stratification.

Computed tomography (CT) permits cross-sectional imaging with high spatial resolution and has, during the past years, undergone tremendous development mainly concerning the temporal resolution. By use of multidetector spiral technology, as well as electrocardiography-gated image acquisition and reconstruction techniques, 16- and 64-slice CT permits visualization of cardiac morphology and function. In this context, however, CT imaging does not play a major clinical role because other imaging methods (mainly echocardiography) usually provide all necessary information. Under certain conditions, multidetector CT also permits visualization of the coronary arteries. Detection of coronary calcification, as well as coronary CT angiography, can provide clinically useful information if applied to suitable patient groups. It is foreseeable that CT angiography will become part of the routine workup in some subsets of patients with suspected coronary artery disease, either alone or in combination with other imaging techniques. Among the limitations of cardiac CT are the requirement of a regular (and preferably low) heart rate, the associated x-ray exposure, and the need for an iodinated contrast agent for most applications. It is important to note that reliable and accurate results will require use of the most advanced CT scanner technology, optimal image quality, and sufficient experience in the acquisition and interpretation of cardiac CT data sets.

Angiography↗

An X-ray computed tomography imaging agent based on long-circulating bismuth sulphide nanoparticles.

Nanomaterials have become increasingly important in the development of new molecular probes for in vivo imaging, both experimentally and clinically. Nanoparticulate imaging probes have included semiconductor quantum dots, magnetic and magnetofluorescent nanoparticles, gold nanoparticles and nanoshells, among others. However, the use of nanomaterials for one of the most common imaging techniques, computed tomography (CT), has remained unexplored. Current CT contrast agents are based on small iodinated molecules. They are effective in absorbing X-rays, but non-specific distribution and rapid pharmacokinetics have rather limited their microvascular and targeting performance. Here we propose the use of a polymer-coated Bi(2)S(3) nanoparticle preparation as an injectable CT imaging agent. This preparation demonstrates excellent stability at high concentrations (0.25 M Bi(3+)), high X-ray absorption (fivefold better than iodine), very long circulation times (>2 h) in vivo and an efficacy/safety profile comparable to or better than iodinated imaging agents. We show the utility of these polymer-coated Bi(2)S(3) nanoparticles for enhanced in vivo imaging of the vasculature, the liver and lymph nodes in mice. These nanoparticles and their bioconjugates are expected to become an important adjunct to in vivo imaging of molecular targets and pathological conditions.

Animals↗

Example-based assisting approach for pulmonary nodule classification in three-dimensional thoracic computed tomography images.

RATIONALE AND OBJECTIVES: An example-based assisting approach that supports decision making in classifying pulmonary nodules in 3-dimensional (3D) thoracic computed tomography images has been developed. MATERIALS AND METHODS: The example-based assisting approach retrieves and displays nodules that exhibit morphologic and internal profiles consistent to the nodule in question. It uses a 3D computed tomography image database containing 143 pulmonary nodules for which diagnosis is known. The central module makes possible analysis of the query nodule image and extraction of the features of interest: shape, surrounding structure, and internal structure of the nodules. The principal axes and the compactness characterize the nodule shape. The surrounding and internal structures are represented by the distribution pattern of computed tomography density value and 3D curvature indexes. The nodule representation is then used for computing a similarity measure such as a correlation coefficient and a malignant likelihood of the query nodule. The malignant likelihood is estimated by the difference between the representation patterns of the query case and the retrieved lesions. The Mahalanobis distance was adopted as the difference measure. The approach performance was assessed through leave-one-out method by the false-positive rate. RESULTS: Given a query nodule image, the proposed method retrieved benign and malignant images similar to the query case and provided its malignant likelihood. The number of cases that obtained enough number of the retrieved cases for estimating the malignant likelihood was 107 cases (malignant, 70; benign, 37) in our database. Sensitivity was 91.4% (64 of 70 malignant nodules), specificity was 51.4% (19 of 37 benign nodules), and accuracy values were 77.6% (83 of 107 nodules). CONCLUSION: Preliminary assessment of this approach showed that an example-based assisting approach is an effective tool for making the diagnostic decision in the classification of pulmonary nodules using the nodule image database.

Databases, Factual↗