IEEE Trans Image Process - Segmentation of intracranial vessels and aneurysms in phase contrast magnetic resonance angiography using multirange filters and local variances.

Tópicos

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Resumo

Segmentation of intensity varying and low-contrast structures is an extremely challenging and rewarding task. In computer-aided diagnosis of intracranial aneurysms, segmenting the high-intensity major vessels along with the attached low-contrast aneurysms is essential to the recognition of this lethal vascular disease. It is particularly helpful in performing early and noninvasive diagnosis of intracranial aneurysms using phase contrast magnetic resonance angiographic (PC-MRA) images. The major challenges of developing a PC-MRA-based segmentation method are the significantly varying voxel intensity inside vessels with different flow velocities and the signal loss in the aneurysmal regions where turbulent flows occur. This paper proposes a novel intensity-based algorithm to segment intracranial vessels and the attached aneurysms. The proposed method can handle intensity varying vasculatures and also the low-contrast aneurysmal regions affected by turbulent flows. It is grounded on the use of multirange filters and local variances to extract intensity-based image features for identifying contrast varying vasculatures. The extremely low-intensity region affected by turbulent flows is detected according to the topology of the structure detected by multirange filters and local variances. The proposed method is evaluated using a phantom image volume with an aneurysm and four clinical cases. It achieves 0.80 dice score in the phantom case. In addition, different components of the proposed method-the multirange filters, local variances, and topology-based detection-are evaluated in the comparison between the proposed method and its lower complexity variants. Owing to the analogy between these variants and existing vascular segmentation methods, this comparison also exemplifies the advantage of the proposed method over the existing approaches. It analyzes the weaknesses of these existing approaches and justifies the use of every component involved in the proposed method. It is shown that the proposed method is capable of segmenting blood vessels and the attached aneurysms on PC-MRA images.

Resumo Limpo

segment intens vari lowcontrast structur extrem challeng reward task computeraid diagnosi intracrani aneurysm segment highintens major vessel along attach lowcontrast aneurysm essenti recognit lethal vascular diseas particular help perform earli noninvas diagnosi intracrani aneurysm use phase contrast magnet reson angiograph pcmra imag major challeng develop pcmrabas segment method signific vari voxel intens insid vessel differ flow veloc signal loss aneurysm region turbul flow occur paper propos novel intensitybas algorithm segment intracrani vessel attach aneurysm propos method can handl intens vari vasculatur also lowcontrast aneurysm region affect turbul flow ground use multirang filter local varianc extract intensitybas imag featur identifi contrast vari vasculatur extrem lowintens region affect turbul flow detect accord topolog structur detect multirang filter local varianc propos method evalu use phantom imag volum aneurysm four clinic case achiev dice score phantom case addit differ compon propos methodth multirang filter local varianc topologybas detectionar evalu comparison propos method lower complex variant owe analog variant exist vascular segment method comparison also exemplifi advantag propos method exist approach analyz weak exist approach justifi use everi compon involv propos method shown propos method capabl segment blood vessel attach aneurysm pcmra imag

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