Sona A. Pungavkar

A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation

Segmentation of the prostate boundary on clinical images is useful in a large number of applications including calculation of prostate volume pre- and post-treatment, to detect extra-capsular spread, and for creating patient-specific anatomical models. Manual segmentation of the prostate boundary is, however, time consuming and subject to inter- and intra-reader variability. T2-weighted (T2-w) magnetic resonance (MR) structural imaging (MRI) and MR spectroscopy (MRS) have recently emerged as promising modalities for detection of prostate cancer in vivo. MRS data consists of spectral signals measuring relative metabolic concentrations, and the metavoxels near the prostate have distinct spectral signals from metavoxels outside the prostate. Active Shape Models (ASMs) have become very popular segmentation methods for biomedical imagery. However, ASMs require careful initialization and are extremely sensitive to model initialization. The primary contribution of this paper is a scheme to automatically initialize an ASM for prostate segmentation on endorectal in vivo multi-protocol MRI via automated identification of MR spectra that lie within the prostate. A replicated clustering scheme is employed to distinguish prostatic from extra-prostatic MR spectra in the midgland. The spatial locations of the prostate spectra so identified are used as the initial ROI for a 2D ASM. The midgland initializations are used to define a ROI that is then scaled in 3D to cover the base and apex of the prostate. A multi-feature ASM employing statistical texture features is then used to drive the edge detection instead of just image intensity information alone. Quantitative comparison with another recent ASM initialization method by Cosio showed that our scheme resulted in a superior average segmentation performance on a total of 388 2D MRI sections obtained from 32 3D endorectal in vivo patient studies. Initialization of a 2D ASM via our MRS-based clustering scheme resulted in an average overlap accuracy (true positive ratio) of 0.60, while the scheme of Cosio yielded a corresponding average accuracy of 0.56 over 388 2D MR image sections. During an ASM segmentation, using no initialization resulted in an overlap of 0.53, using the Cosio based methodology resulted in an overlap of 0.60, and using the MRS-based methodology resulted in an overlap of 0.67, with a paired Students t-test indicating statistical significance to a high degree for all results. We also show that the final ASM segmentation result is highly correlated (as high as 0.90) to the initialization scheme.

Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI.

RATIONALE AND OBJECTIVES Accurate prostate volume estimation is useful for calculating prostate-specific antigen density and in evaluating posttreatment response. In the clinic, prostate volume estimation involves modeling the prostate as an ellipsoid or a spheroid from transrectal ultrasound, or T2-weighted magnetic resonance imaging (MRI). However, this requires some degree of manual intervention, and may not always yield accurate estimates. In this article, we present a multifeature active shape model (MFA) based segmentation scheme for estimating prostate volume from in vivo T2-weighted MRI. MATERIALS AND METHODS We aim to automatically determine the location of the prostate boundary on in vivo T2-weighted MRI, and subsequently determine the area of the prostate on each slice. The resulting planimetric areas are aggregated to yield the volume of the prostate for a given patient. Using a set of training images, the MFA learns the most discriminating statistical texture descriptors of the prostate boundary via a forward feature selection algorithm. After identification of the optimal image features, the MFA is deformed to accurately fit the prostate border. An expert radiologist segmented the prostate boundary on each slice and the planimetric aggregation of the enclosed areas yielded the ground truth prostate volume estimate. The volume estimation obtained via the MFA was then compared against volume estimations obtained via the ellipsoidal, Myschetzky, and prolated spheroids models. RESULTS We evaluated our MFA volume estimation method on a total 45 T2-weighted in vivo MRI studies, corresponding to both 1.5 Tesla and 3.0 Tesla field strengths. The results revealed that the ellipsoidal, Myschetzky, and prolate spheroid models overestimated prostate volumes, with volume fractions of 1.14, 1.53, and 1.96, respectively. By comparison, the MFA yielded a mean volume fraction of 1.05, evaluated using a fivefold cross-validation scheme. A correlation with the ground truth volume estimations showed that the MFA had an r(2) value of 0.82, whereas the clinical volume estimation schemes had a maximum value of 0.70. CONCLUSIONS Our MFA scheme involves minimal user intervention, is computationally efficient and results in volume estimations more accurate than state of the art clinical models.

A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models

Segmentation of the prostate boundary on clinical images is useful in a large number of applications including calculating prostate volume during biopsy, tumor estimation, and treatment planning. Manual segmentation of the prostate boundary is, however, time consuming and subject to inter- and intra-reader variability. Magnetic Resonance (MR) imaging (MRI) and MR Spectroscopy (MRS) have recently emerged as promising modalities for detection of prostate cancer in vivo. In this paper we present a novel scheme for accurate and automated prostate segmentation on in vivo 1.5 Tesla multi-modal MRI studies. The segmentation algorithm comprises two steps: (1) A hierarchical unsupervised spectral clustering scheme using MRS data to isolate the region of interest (ROI) corresponding to the prostate, and (2) an Active Shape Model (ASM) segmentation scheme where the ASM is initialized within the ROI obtained in the previous step. The hierarchical MRS clustering scheme in step 1 identifies spectra corresponding to locations within the prostate in an iterative fashion by discriminating between potential prostate and non-prostate spectra in a lower dimensional embedding space. The spatial locations of the prostate spectra so identified are used as the initial ROI for the ASM. The ASM is trained by identifying user-selected landmarks on the prostate boundary on T2 MRI images. Boundary points on the prostate are identified using mutual information (MI) as opposed to the traditional Mahalanobis distance, and the trained ASM is deformed to fit the boundary points so identified. Cross validation on 150 prostate MRI slices yields an average segmentation sensitivity, specificity, overlap, and positive predictive value of 89, 86, 83, and 93&percent; respectively. We demonstrate that the accurate initialization of the ASM via the spectral clustering scheme is necessary for automated boundary extraction. Our method is fully automated, robust to system parameters, and computationally efficient.

Ultrafast MRI in the prenatal diagnosis of Bourneville's tuberous sclerosis

The purpose of this report is to highlight the utility of prenatal MRI as an adjunctive imaging modality in the diagnosis and prognosis of Tuberous Sclerosis (TS) (Bournevilles disease). We report a case of TS detected in utero at 30 weeks gestation. A routine ultrasonography at 26 weeks in a 28-year-old primigravida was followed by an ultrafast MRI examination at 30 weeks gestation. Ultrasound raised the possibility of TS based on the detection of multiple cardiac rhabdomyomas. Fetal MRI, subsequently performed, showed the presence of cortical tubers and subependymal nodules establishing the diagnosis. Fetal MRI in the appropriate clinical setting can be potentially invaluable and can have important prognostic implications.

Antenatal Diagnosis of Iniencephaly: Sonographic and MR Correlation: A Case Report

Iniencephaly is an uncommon and fatal neural tube defect involving the occiput and inion, this occurs together with rachischisis of the cervical and thoracic spine, and retroflexion of the head. We report the ultrasound (US) and magnetic resonance (MR) imaging findings of a case of iniencephaly with clubfeet and arthrogryposis. The diagnosis of iniencephaly is easy to make on ultrasound due to the typical star-gazing fetus. However, the details of the fetal brain and spinal cord may not be adequately delineated on US. We found MR imaging to be superior for depicting central nervous system abnormalities. MR imaging has evolved as an imaging modality and it is complementary to fetal US, yet US remains the screening modality of choice.

Multiple Hemangiomas Involving the Vertebral Column

Hemangiomas are benign, slow-growing skeletal and soft tissue tumors that commonly involve the bony spine. When found in the spine, they are usually asymptomatic, but can sometimes be associated with local pain and/or neurological deficits. We report the case of a middle-aged Indian male with multiple hemangiomas involving almost all the vertebrae contiguously from C2 to S1 vertebral levels. These were discovered incidentally when a magnetic resonance scan was performed for backache. To the best of our knowledge, such extensive involvement of the spine has not been reported previously.

MRI diagnosis of hypertrophic osteoarthropathy from a remote childhood malignancy

Hypertrophic osteoarthropathy (HOA) is a clinico-radiological syndrome characterized by digital clubbing, periosteal proliferation, bone pain, synovitis and arthralgia, all of these being commonly symmetrical. It is occasionally associated with nasopharyngeal lymphoepitheliomas and may develop before or after development of lung metastases in these patients. We report a case of a healthy 22-year-old female who presented to our institution with pain and swelling in the thighs and legs. She had a history of childhood nasopharyngeal lymphoepithelioma. Radiographs of the knees were negative. Magnetic resonance imaging (MRI) showed features suggestive of bilateral periostitis. Because of the propensity of the rare childhood nasopharyngeal lymphoepithelioma to present with HOA, this entity was included in the differential diagnosis. A subsequent chest radiograph and CT demonstrated a lung and mediastinal mass that were histologically confirmed to be metastatic. To the best of our knowledge, HOA and metastases from nasopharyngeal lymphoepithelioma occurring after such a long time interval have not been previously reported. Early demonstration and consideration of HOA on the basis of MRI, lead to expeditious and appropriate subsequent investigation.

Pre- and post-therapy MR imaging in fibrodysplasia ossificans progressiva

Fibrodysplasia ossificans progressiva, also known as myositis ossificans progressiva, is characterized by congenital skeletal malformations and progressive ectopic bone formation in connective tissues. The disorder presents as rapidly growing masses usually in the neck or paraspinal region with stiffness in the adjoining joints. The preosseous lesions involve the fascia, ligaments, tendons, and skeletal muscle. These lesions occasionally resolve but more often progress to form ectopic ossification. We present a boy who had a characteristic clinical presentation. Magnetic resonance (MR) imaging conducted in the preosseous stage of the lesion revealed the pathology, resulting in early therapy and resolution of the preosseous lesion without progression to ossification. To the best of our knowledge, post-therapy follow-up MR imaging in such a case has not been reported.

Regression of white matter hypodensities with age in Aicardi–Goutierés syndrome: a case report

BackgroundAicardi–Goutierés syndrome (AGS) is a severe and progressive familial encephalopathy that is characterized by acquired microcephaly, intracranial calcification, white matter lesions, and chronic lymphocytosis with elevated levels of interferon-α in the cerebrospinal fluid. Although the degree of calcification and the severity of brain atrophy are variable, typically, the brain lesions appear to progress on successive examinations.Case reportWe report a 7-year-old male patient who showed relative regression of white matter lesions with nonprogression of basal ganglia calcification and atrophy on follow-up magnetic resonance imaging and computed tomography scans.ResultsMagnetic resonance spectroscopy findings were normal. This, to our knowledge, is the first case report, which describes relative regression of the white matter changes in AGS.

Pictorial essay: Role of magnetic resonance imaging in evaluation of brachial plexus pathologies

Brachial plexopathies, traumatic and nontraumatic, often present with vague symptoms. Clinical examination and electrophysiological studies are useful but may not localize the lesion accurately. Magnetic resonance imaging (MRI) with its multiplanar imaging capability and soft tissue contrast resolution plays an important role in evaluation of the abnormal brachial plexus.