Name: Segmentation of the Choroid Plexus Using Manual Delineations
Uploaded: 2023-12-15T12:40:00
Description: Watch this Scientific Journal Video about Segmentation of the Choroid Plexus Using Manual Delineations at JoVE.com

segmentation of the choroid plexus using manual delineations

मस्तिष्क विकारों में न्यूरोइमेजिंग विश्लेषण को बढ़ाना

Choroid plexus function 
The choroid plexus is a highly vascularized structure in the brain consisting of fenestrated capillaries and a monolayer of choroid plexus epithelial cells1. The choroid plexus projects into the lateral, third, and fourth cerebral ventricles and produces cerebrospinal fluid (CSF), which plays an important role in neural patterning2 and brain physiology3,4. The choroid plexus secretes neurovascular substances, encompasses a stem-cell like repository, and acts as a physical barrier to impede the entrance of toxic metabolites, an enzymatic barrier to remove moieties that circumvent the physical barrier, and an immunological barrier to protect against foreign invaders5. The choroid plexus modulates neurogenesis6, synaptic plasticity7, inflammation8, circadian rhythm9,10, gut brain-axis11, and cognition12. Moreover, peripheral cytokines, stress, and infection (including SARS-CoV-2) can disrupt the blood-CSF barrier13,14,15,16. Thus, the choroid plexus-CSF system is integral for neurodevelopment, neurocircuit maturation, brain homeostasis, and repair17. Since immune, inflammatory, metabolic, and enzymatic alterations impact the brain, researchers are using neuroimaging tools to assess the role of the choroid plexus across the lifespan and in brain disorders18,19,20. However, limitations exist in commonly used automated tools for choroid plexus segmentation, such as FreeSurfer, which result in the choroid plexus being poorly segmented. Thus, there is a critical need for ground truth manual segmentation of the choroid plexus that can be used to develop an accurate automated tool for choroid plexus segmentation.
Choroid plexus in neurodevelopment and brain disorders 
The role of the choroid plexus in brain disorders has long been neglected, mainly because it was regarded as a supporting player whose role was to cushion the brain and maintain a proper salt balance2,21. However, the choroid plexus has gained attention as a structure linked to brain disorders such as pain syndromes22, SARS-CoV-216,23,24, neurodevelopmental2, and brain disorders19, suggesting a transdiagnostic effect in the development of behavioral disorders. In neurodevelopmental disorders, choroid plexus cysts were associated with an increased risk of developmental delay, attention-deficit/hyperactivity disorder (ADHD), or autism spectrum disorder (ASD)25,26. Additionally, lateral ventricle choroid plexus volume was found to be increased in patients with ASD27. In brain disorders,choroid plexus abnormalities have been described since 1921 in psychotic disorders28,29. Previous studies have identified choroid plexus enlargement using FreeSurfer segmentation in a large sample of patients with psychotic disorders compared to both their first-degree relatives and controls19. These findings were replicated using manually segmented choroid plexus volume in a large sample of clinical high-risk for psychosis population and found that these patients had larger choroid plexus volume compared to healthy controls30. There are a growing number of studies demonstrating choroid plexus enlargement in complex regional pain syndrome22, stroke31, multiple sclerosis20,32, Alzheimer&#39;s33,34, and depression35, with some demonstrating a link between peripheral and brain immune/inflammatory activity. These neuroimaging studies are promising; however, poor lateral ventricle choroid plexus segmentation by FreeSurfer21 limits the trustworthiness of automated choroid plexus volume estimation. As a result, studies in multiple sclerosis20,32, depression35, Alzheimer&#39;s34, and early psychosis36 have begun manually segmenting the lateral ventricle choroid plexus, but there are no current guidelines for how to do this, nor is their guidance on segmenting the third and fourth ventricle choroid plexus.
Common segmentation tools exclude the choroid plexus 
Brain segmentation pipelines such as FreeSurfer37,38,39, FMRIB Software Library (FSL)40, SLANT41, and FastSurfer (developed by the co-author Martin Reuter)42,43, accurately and reliably segment cortical and subcortical structures employing atlas-based (FSL), atlas- and surface-based (FreeSurfer), and deep learning segmentation paradigms (SLANT and FastSurfer). Weaknesses of some of these approaches include processing speed, limited generalization to different scanners, field strengths and voxel sizes37,44, and forced alignment of the label map in a standard atlas space. However, the capability to segment the choroid plexus and the compatibility with high-resolution MRI is only addressed by FreeSurfer and FastSurfer. The neural networks behind FastSurfer, are trained on FreeSurfer choroid plexus labels, so they inherit FreeSurfer&#39;s previously discussed reliability and coverage limitations, with the third and fourth ventricles being ignored21. Current limitations for high-resolution MRI also exist, but FreeSurfer&#39;s high-resolution stream45 and FastSurferVINN43 can be used to handle this issue.
Current choroid plexus segmentation tools 
There is only one freely available segmentation tool for the choroid plexus, but segmentation accuracy is limited. Accurate choroid plexus segmentation can be impacted by a variety of factors, including (1) variability in choroid plexus location (spatially non-stationary) due to its location within the ventricles, (2) differences in voxel intensity, contrast, resolution (within-structure heterogeneity) due to cellular heterogeneity, dynamic choroid plexus function, pathological changes, or partial volume effects, (3) age- or pathology-related ventricular size differences impacting choroid plexus size, and (4) proximity to adjacent subcortical structures (hippocampus, amygdala, caudate, and cerebellum), which are also difficult to segment. Given these challenges, FreeSurfer segmentations often under or over-estimate, mislabel or ignore the choroid plexus.
Three recent publications addressed the gap of reliable choroid plexus segmentation with a Gaussian Mixture Model (GMM)46, an Axial-MLP47, and U-Net-based deep learning approaches48. Each model was trained and evaluated using private, manually labeled datasets of at most 150 subjects with a limited diversity of scanners, sites, demographics, and disorders. While these publications46,48,49 achieved significant improvements over FreeSurfer&#39;s choroid plexus segmentation - sometimes doubling the intersection of prediction and ground truth, neither method is (1) validated in high-resolution MRI, (2) has dedicated generalization and reliability analyses, (3) features large representative training and testing datasets, (4) specifically addresses or analyzes choroid plexus segmentation challenges such as partial volume effects, or (5) is publicly available as a ready-to-use tool. Thus, the current &#34;gold standard&#34; for choroid plexus segmentation is manual tracing, e.g., using 3D Slicer50 or ITK-SNAP51, which has not been previously described and has been a major challenge for researchers wishing to examine the role of the choroid plexus in their studies. 3D Slicer was chosen for manual segmentation due to the author&#39;s familiarity with the software and because it provides the user with various tools based on different approaches that can be combined to obtain the desired result. Other tools can be used, such as ITK-SNAP, which is primarily oriented on image segmentation, and once the tool is mastered, good results can be obtained by the user. Additionally, the authors have conducted a case-control study demonstrating the high accuracy and reliability of their manual segmentation technique using 3D Slicer30, and that specific methodology is described herein.

लेखक स्पॉटलाइट: एनाटॉमी में अंतराल को पाटना और एल्गोरिथम अध्ययन के लिए एक फाउंडेशन स्थापित करना 

मस्तिष्क एमआरआई का उपयोग कर मानव रंजित जाल के मैनुअल विभाजन

We aim to establish an accessible and standardized protocol for manually segmenting the choroid plexus within the lateral third and fourth ventricles of the brain. We hope to address any common questions or problems that can arise when manually segmenting the choroid plexus, especially considering the complex nature of its location within the brain. Developing this protocol will lead to the creation of a large enough data set consisting of ground truth segmentation maps that we can then use to train and develop algorithms that can accurately and automatically segment the choroid plexus.In the future, this will lead to studies that investigate the role of the choroid plexus within various neurologic and neuropsychiatric disorders.

Watch this Scientific Journal Video about Segmentation of the Choroid Plexus Using Manual Delineations at JoVE.com

Segmentation of the Choroid Plexus Using Manual Delineations  

मैनुअल परिसीमन का उपयोग कर रंजित जाल का विभाजन

शुरू करने के लिए, टूलबार के ऊपरी बाएँ कोने में स्थित DCM बटन पर क्लिक करके और DICOM फ़ाइलें आयात करें बटन पर क्लिक करके चिकित्सा या DICOM डेटा में डिजिटल इमेजिंग और संचार आयात करें। किसी छवि की चमक को समायोजित करने के लिए, विंडो और वॉल्यूम के स्तर को समायोजित करें पर क्लिक करें या छवि पर बायाँ-क्लिक करें और माउस को ऊपर या नीचे खींचें। फिर छवि स्लाइस पर बायाँ क्लिक करें और कंट्रास्ट को समायोजित करने के लिए माउस को बाएँ या दाएँ ले जाएँ।गहरे भूरे रंग के पदार्थ नाभिक या इसके विपरीत पैमाने सलाखों संकेत तीव्रता का संदर्भ लें और यह रंजित जाल के लिए उपयुक्त विपरीत का चयन करने के लिए विभाजन भर में सुसंगत रहता है कि सुनिश्चित करें. पार्श्व तीसरे और चौथे वेंट्रिकल रंजित जाल के विभाजन शुरू करने के लिए, मॉड्यूल ड्रॉपडाउन मेनू से खंड संपादक का चयन करें. अब विभिन्न सेगमेंटेशन का चयन करने और चयनित एक का नाम बदलने के लिए सेगमेंटेशन के लिए ड्रॉपडाउन मेनू पर क्लिक करें।मास्टर वॉल्यूम ड्रॉपडाउन का उपयोग करें और NIfTI या DICOM सेट चुनें जिन्हें संपादन की आवश्यकता है। पार्श्व वेंट्रिकल रंजित जाल के लिए दो खंडों को शामिल करने के लिए दो बार जोड़ने बटन पर क्लिक करें. उनके शीर्षक पर डबल क्लिक करें और सही पार्श्व वेंट्रिकल रंजित जाल और बाएं पार्श्व वेंट्रिकल रंजित जाल के रूप में उन्हें नाम बदलें.तीसरे और चौथे निलय के रंजित जाल के लिए खंडों को पेश करने के लिए एक बार फिर जोड़ने बटन पर क्लिक करें. बाद में, उन्हें क्रमशः तीसरे वेंट्रिकल रंजित जाल और चौथे वेंट्रिकल रंजित जाल के रूप में नाम बदलें. अक्षीय विमान में पार्श्व वेंट्रिकल रंजित जाल के साथ शुरू करें और द्विकोमिसुरल रेखा के आधार पर छवियों की स्थिति सुनिश्चित करें।पार्श्व वेंट्रिकल रंजित जाल का पता लगाने के लिए एक संदर्भ बिंदु के रूप में त्रिकोणम संपार्श्विक का प्रयोग करें. मैनुअल सेगमेंटेशन शुरू करने के लिए, सेगमेंट एडिटर के प्रभाव अनुभाग में स्थित पेंट या ड्रा टूल का चयन करें। पेंट टूल का उपयोग करते समय, पेंटिंग के लिए वांछित ब्रश व्यास का चयन करें।पार्श्व निलय में रंजित जाल विभाजन बंद करने के लिए जब निर्धारित करने के लिए लाल नाभिक स्तर का प्रयोग करें. तीसरे वेंट्रिकल रंजित जाल का पता लगाने के लिए, धनु विमान में शुरू, और स्थलों के रूप में मोनरो, fornix, कॉर्पस callosum, thalamus, और आंतरिक मस्तिष्क नस के रंध्र का उपयोग करें. इसी तरह, चौथे वेंट्रिकल कोरॉइड प्लेक्सस के लिए, धनु विमान में शुरू करें और चौथे वेंट्रिकल में कोरॉइड प्लेक्सस को इंगित करने के लिए संदर्भ बिंदुओं के रूप में बेहतर अनुमस्तिष्क पेडुंकल, पोंस और मज्जा का उपयोग करें।मॉड्यूल ड्रॉपडाउन मेनू से, परिमाणीकरण पर नेविगेट करें और सेगमेंट आँकड़े चुनें। फिर इनपुट अनुभाग के तहत, विभाजन उपकरण के तहत परिमाणीकरण के लिए नव निर्मित विभाजन मानचित्र का चयन करें और स्केलर वॉल्यूम से एमआरआई मात्रा का चयन करें। आउटपुट तालिका के लिए, आउटपुट के तहत तालिका विकल्प चुनें और लागू करें दबाएं।विभिन्न इकाइयों में रंजित जाल मात्रा प्रदर्शित एक तालिका दिखाई देगा. जेनरेट की गई फ़ाइलों को संग्रहीत करने के लिए टूलबार के ऊपरी बाएँ भाग में स्थित सेव बटन पर क्लिक करें। विभाजन फ़ाइलों को nrrd, nii स्वरूपों में सुरक्षित रखें।GZ, या TSV।

Research

JoVE Journal

Neuroscience

Segmentation of the Choroid Plexus Using Manual Delineations

Manual Segmentation of the Human Choroid Plexus Using Brain MRI

The choroid plexus has been implicated in neurodevelopment and a range of brain disorders. Evidence demonstrates that the choroid plexus is critical for ...