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Erschienen in: Journal of Digital Imaging 2/2019

21.09.2018

3D Brain Imaging in Vascular Segmentation of Cerebral Venous Sinuses

verfasst von: Asli Beril Karakas, Figen Govsa, Mehmet Asım Ozer, Cenk Eraslan

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 2/2019

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Abstract

The three-dimensional (3D) visualization of dural venous sinuses (DVS) networks is desired by surgical trainers to create a clear mental picture of the neuroanatomical orientation of the complex cerebral anatomy. Our purpose is to document those identified during routine 3D venography created through 3D models using two-dimensional axial images for teaching and learning neuroanatomy. Anatomical data were segmented and extracted from imaging of the DVS of healthy people. The digital data of the extracted anatomical surfaces was then edited and smoothed, resulting in a set of digital 3D models of the superior sagittal, inferior sagittal, transverse, and sigmoid, rectus sinuses, and internal jugular veins. A combination of 3D printing technology and casting processes led to the creation of realistic neuroanatomical models that include high-fidelity reproductions of the neuroanatomical features of DVS. The life-size DVS training models were provided good detail and representation of the spatial distances. Geometrical details between the neighboring of DVS could be easily manipulated and explored from different angles. A graspable, patient-specific, 3D-printed model of DVS geometry could provide an improved understanding of the complex brain anatomy. These models have various benefits such as the ability to adjust properties, to convert two-dimension images of the patient into three-dimension images, to have different color options, and to be economical. Neuroanatomy experts can model such as the reliability and validity of the designed models, enhance patient satisfaction with improved clinical examination, and demonstrate clinical interventions by simulation; thus, they teach neuroanatomy training with effective teaching styles.
Literatur
1.
Zurück zum Zitat Ayanzen RH, Bird CR, Keller PJ, McCully FJ, Theobald MR, Heiserman JE: Cerebral MR venography: normal anatomy and potential diagnostic pitfalls. AJNR Am J Neuroradiol 21(1):74–78, 2000PubMed Ayanzen RH, Bird CR, Keller PJ, McCully FJ, Theobald MR, Heiserman JE: Cerebral MR venography: normal anatomy and potential diagnostic pitfalls. AJNR Am J Neuroradiol 21(1):74–78, 2000PubMed
2.
Zurück zum Zitat Khalil MK, Payer AF, Johnson TE: Effectiveness of using cross-sections in the recognition of anatomical structures in radiological images. Anat Rec B New Anat 283(1):9–13, 2005CrossRefPubMed Khalil MK, Payer AF, Johnson TE: Effectiveness of using cross-sections in the recognition of anatomical structures in radiological images. Anat Rec B New Anat 283(1):9–13, 2005CrossRefPubMed
3.
Zurück zum Zitat Liauw L, van Buchem MA, Spilt A, de Bruïne FT, van den Berg R, Hermans J, Wasser MNJM: MR Angiography of the Intracranial Venous System. Radiology 214(3):678–682, 2000CrossRefPubMed Liauw L, van Buchem MA, Spilt A, de Bruïne FT, van den Berg R, Hermans J, Wasser MNJM: MR Angiography of the Intracranial Venous System. Radiology 214(3):678–682, 2000CrossRefPubMed
4.
5.
Zurück zum Zitat Miller R: Approaches to learning spatial relationships in gross anatomy: perspective from wider principles of learning. Clin Anat 13(6):439–443, 2000CrossRefPubMed Miller R: Approaches to learning spatial relationships in gross anatomy: perspective from wider principles of learning. Clin Anat 13(6):439–443, 2000CrossRefPubMed
6.
Zurück zum Zitat Raikos A, Smith JD: Anatomical variations: How do surgical and radiology training programs teach and assess them in their training curricula? Clin Anat 28(6):717–724, 2015CrossRefPubMed Raikos A, Smith JD: Anatomical variations: How do surgical and radiology training programs teach and assess them in their training curricula? Clin Anat 28(6):717–724, 2015CrossRefPubMed
7.
Zurück zum Zitat Trelease RB, Rosset A: Transforming clinical imaging data for virtual reality learning objects. Anat Sci Educ 1(2):50–55, 2008CrossRefPubMed Trelease RB, Rosset A: Transforming clinical imaging data for virtual reality learning objects. Anat Sci Educ 1(2):50–55, 2008CrossRefPubMed
8.
Zurück zum Zitat Nguyen N, Mulla A, Nelson AJ, Wilson TD: Visuospatial anatomy comprehension: the role of spatial visualization ability and problem-solving strategies. Anat Sci Educ 7(4):280–288, 2014CrossRefPubMed Nguyen N, Mulla A, Nelson AJ, Wilson TD: Visuospatial anatomy comprehension: the role of spatial visualization ability and problem-solving strategies. Anat Sci Educ 7(4):280–288, 2014CrossRefPubMed
9.
Zurück zum Zitat Govsa F, Yagdi T, Ozer MA, Eraslan C, Alagoz AK: Building 3D anatomical model of coiling of the internal carotid artery derived from CT angiographic data. Eur Arch Oto-Rhino-Laryngology 274(2):1097–1102, 2017CrossRef Govsa F, Yagdi T, Ozer MA, Eraslan C, Alagoz AK: Building 3D anatomical model of coiling of the internal carotid artery derived from CT angiographic data. Eur Arch Oto-Rhino-Laryngology 274(2):1097–1102, 2017CrossRef
10.
Zurück zum Zitat Meier LM, Meineri M, Qua Hiansen J, Horlick EM: Structural and congenital heart disease interventions: the role of three-dimensional printing. Netherlands Heart J 25(2):65–75, 2017CrossRef Meier LM, Meineri M, Qua Hiansen J, Horlick EM: Structural and congenital heart disease interventions: the role of three-dimensional printing. Netherlands Heart J 25(2):65–75, 2017CrossRef
11.
Zurück zum Zitat Hu A, Wilson T, Ladak H et al.: Evaluation of a three-dimensional educational computer model of the larynx: voicing a new direction. J Otolaryngol Head Neck Surg 39(3):315–322, 2010PubMed Hu A, Wilson T, Ladak H et al.: Evaluation of a three-dimensional educational computer model of the larynx: voicing a new direction. J Otolaryngol Head Neck Surg 39(3):315–322, 2010PubMed
12.
Zurück zum Zitat Javan R, Herrin D, Tangestanipoor A: Understanding spatially complex segmental and branch anatomy using 3D printing: Liver, lung, prostate, coronary arteries, and circle of Willis. Acad Radiol 23(9):1183–1189, 2016CrossRefPubMed Javan R, Herrin D, Tangestanipoor A: Understanding spatially complex segmental and branch anatomy using 3D printing: Liver, lung, prostate, coronary arteries, and circle of Willis. Acad Radiol 23(9):1183–1189, 2016CrossRefPubMed
13.
Zurück zum Zitat Madurska MJ, Poyade M, Eason D, Rea P, Watson AJM: Development of a patient-specific 3D-printed liver model for preoperative planning. Surg Innov 24(2):145–150, 2017CrossRef Madurska MJ, Poyade M, Eason D, Rea P, Watson AJM: Development of a patient-specific 3D-printed liver model for preoperative planning. Surg Innov 24(2):145–150, 2017CrossRef
14.
Zurück zum Zitat Akamatsu Y, Sato K, Endo H et al.: Single-session hematoma removal and transcranial coil embolization for a cavernous sinus dural arteriovenous fistula: A technical case report. World Neurosurg 104:1046.e7–1046.e12, 2017CrossRef Akamatsu Y, Sato K, Endo H et al.: Single-session hematoma removal and transcranial coil embolization for a cavernous sinus dural arteriovenous fistula: A technical case report. World Neurosurg 104:1046.e7–1046.e12, 2017CrossRef
15.
Zurück zum Zitat Weinstock P, Rehder R, Prabhu SP, Forbes PW, Roussin CJ, Cohen AR: Creation of a novel simulator for minimally invasive neurosurgery: fusion of 3D printing and special effects. J Neurosurg Pediatr 20(1):1–9, 2017CrossRefPubMed Weinstock P, Rehder R, Prabhu SP, Forbes PW, Roussin CJ, Cohen AR: Creation of a novel simulator for minimally invasive neurosurgery: fusion of 3D printing and special effects. J Neurosurg Pediatr 20(1):1–9, 2017CrossRefPubMed
16.
Zurück zum Zitat San Millán Ruíz D, Gailloud P, Rüfenacht DA et al.: The craniocervical venous system in relation to cerebral venous drainage. AJNR Am J Neuroradiol 23(9):1500–1508, 2002PubMed San Millán Ruíz D, Gailloud P, Rüfenacht DA et al.: The craniocervical venous system in relation to cerebral venous drainage. AJNR Am J Neuroradiol 23(9):1500–1508, 2002PubMed
17.
Zurück zum Zitat Park SH, Park KS, Kang DH, Hwang JH, Hwang SK: Stereotactic radiosurgery for dural carotid cavernous sinus fistulas. World Neurosurg 106:836–843, 2017CrossRefPubMed Park SH, Park KS, Kang DH, Hwang JH, Hwang SK: Stereotactic radiosurgery for dural carotid cavernous sinus fistulas. World Neurosurg 106:836–843, 2017CrossRefPubMed
18.
Zurück zum Zitat Selden NR, Origitano TC, Hadjipanayis C et al.: Model-based simulation for early neurosurgical learners. Neurosurgery 73(Suppl 1):15–24, 2013CrossRefPubMed Selden NR, Origitano TC, Hadjipanayis C et al.: Model-based simulation for early neurosurgical learners. Neurosurgery 73(Suppl 1):15–24, 2013CrossRefPubMed
19.
Zurück zum Zitat Shui W, Zhou M, Chen S, Pan Z, Deng Q, Yao Y, Pan H, He T, Wang X: The production of digital and printed resources from multiple modalities using visualization and three-dimensional printing techniques. Int J Comput Assist Radiol Surg 12(1):13–23, 2017CrossRefPubMed Shui W, Zhou M, Chen S, Pan Z, Deng Q, Yao Y, Pan H, He T, Wang X: The production of digital and printed resources from multiple modalities using visualization and three-dimensional printing techniques. Int J Comput Assist Radiol Surg 12(1):13–23, 2017CrossRefPubMed
20.
Zurück zum Zitat Tam MDBS: Building virtual models by postprocessing radiology images: A guide for anatomy faculty. Anat Sci Educ 3(5):261–266, 2010CrossRefPubMed Tam MDBS: Building virtual models by postprocessing radiology images: A guide for anatomy faculty. Anat Sci Educ 3(5):261–266, 2010CrossRefPubMed
21.
Zurück zum Zitat Tan S, Hu A, Wilson T, Ladak H, Haase P, Fung K: Role of a computer-generated three-dimensional laryngeal model in anatomy teaching for advanced learners. J Laryngol Otol 126(4):395–401, 2012CrossRefPubMed Tan S, Hu A, Wilson T, Ladak H, Haase P, Fung K: Role of a computer-generated three-dimensional laryngeal model in anatomy teaching for advanced learners. J Laryngol Otol 126(4):395–401, 2012CrossRefPubMed
22.
Zurück zum Zitat Tabernero Rico RD, Juanes Méndez JA, Prats GA: New generation of three-dimensional tools to learn anatomy. J Med Syst 41(5):88, 2017CrossRefPubMed Tabernero Rico RD, Juanes Méndez JA, Prats GA: New generation of three-dimensional tools to learn anatomy. J Med Syst 41(5):88, 2017CrossRefPubMed
23.
Zurück zum Zitat Moore CW, Wilson TD, Rice CL: Digital preservation of anatomical variation: 3D-modeling of embalmed and plastinated cadaveric specimens using uCT and MRI. Ann Anat 209:69–75, 2017CrossRefPubMed Moore CW, Wilson TD, Rice CL: Digital preservation of anatomical variation: 3D-modeling of embalmed and plastinated cadaveric specimens using uCT and MRI. Ann Anat 209:69–75, 2017CrossRefPubMed
24.
Zurück zum Zitat Sergovich A, Johnson M, Wilson TD: Explorable three-dimensional digital model of the female pelvis, pelvic contents, and perineum for anatomical education. Anat Sci Educ 3(3):127–133, 2010PubMed Sergovich A, Johnson M, Wilson TD: Explorable three-dimensional digital model of the female pelvis, pelvic contents, and perineum for anatomical education. Anat Sci Educ 3(3):127–133, 2010PubMed
25.
Zurück zum Zitat Randazzo M, Pisapia J, Singh N et al.: 3D printing in neurosurgery: A systematic review. Surg Neurol Int 7(34):801, 2016CrossRef Randazzo M, Pisapia J, Singh N et al.: 3D printing in neurosurgery: A systematic review. Surg Neurol Int 7(34):801, 2016CrossRef
26.
Zurück zum Zitat Ryan JR, Almefty KK, Nakaji P, Frakes DH: Cerebral aneurysm clipping surgery simulation using patient-specific 3D printing and silicone casting. World Neurosurg 88:175–181, 2016CrossRefPubMed Ryan JR, Almefty KK, Nakaji P, Frakes DH: Cerebral aneurysm clipping surgery simulation using patient-specific 3D printing and silicone casting. World Neurosurg 88:175–181, 2016CrossRefPubMed
27.
Zurück zum Zitat Govsa F, Ozer MA, Sirinturk S, Eraslan C, Alagoz AK: Creating vascular models by postprocessing computed tomography angiography images: a guide for anatomical education. Surg Radiol Anat 39(8):905–910, 2017CrossRefPubMed Govsa F, Ozer MA, Sirinturk S, Eraslan C, Alagoz AK: Creating vascular models by postprocessing computed tomography angiography images: a guide for anatomical education. Surg Radiol Anat 39(8):905–910, 2017CrossRefPubMed
28.
Zurück zum Zitat Ryan JR, Chen T, Nakaji P, Frakes DH, Gonzalez LF: Ventriculostomy simulation using patient-specific ventricular anatomy, 3D printing, and hydrogel casting. World Neurosurg 84(5):1333–1339, 2015CrossRefPubMed Ryan JR, Chen T, Nakaji P, Frakes DH, Gonzalez LF: Ventriculostomy simulation using patient-specific ventricular anatomy, 3D printing, and hydrogel casting. World Neurosurg 84(5):1333–1339, 2015CrossRefPubMed
29.
Zurück zum Zitat Ploch CC, Mansi CSSA, Jayamohan J, Kuhl E: Using 3D printing to create personalized brain models for neurosurgical training and preoperative planning. World Neurosurg 90:668–674, 2016CrossRefPubMed Ploch CC, Mansi CSSA, Jayamohan J, Kuhl E: Using 3D printing to create personalized brain models for neurosurgical training and preoperative planning. World Neurosurg 90:668–674, 2016CrossRefPubMed
30.
Zurück zum Zitat Govsa F, Karakas AB, Ozer MA, Eraslan C: Development of life-size patient-specific 3D-printed dural venous models for preoperative planning. World Neurosurg 110:e141–e149, 2018CrossRefPubMed Govsa F, Karakas AB, Ozer MA, Eraslan C: Development of life-size patient-specific 3D-printed dural venous models for preoperative planning. World Neurosurg 110:e141–e149, 2018CrossRefPubMed
31.
Zurück zum Zitat Liu T, Chen M, Song Y, Li H, Lu B: Quality improvement of surface triangular mesh using a modified Laplacian smoothing approach avoiding intersection. PLoS One 12(9):e0184206, 2017CrossRefPubMedPubMedCentral Liu T, Chen M, Song Y, Li H, Lu B: Quality improvement of surface triangular mesh using a modified Laplacian smoothing approach avoiding intersection. PLoS One 12(9):e0184206, 2017CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Despotovic I, Goossens B, Philips W: MRI segmented of the human brain: Challenges, methods, and applications. Computational and Mathematical Methods in Medicine 2015:1–23, 2015CrossRef Despotovic I, Goossens B, Philips W: MRI segmented of the human brain: Challenges, methods, and applications. Computational and Mathematical Methods in Medicine 2015:1–23, 2015CrossRef
Metadaten
Titel
3D Brain Imaging in Vascular Segmentation of Cerebral Venous Sinuses
verfasst von
Asli Beril Karakas
Figen Govsa
Mehmet Asım Ozer
Cenk Eraslan
Publikationsdatum
21.09.2018
Verlag
Springer International Publishing
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 2/2019
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-018-0125-4

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