A model to predict deflection of bevel-tipped active needle advancing in soft tissue.
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| Title: | A model to predict deflection of bevel-tipped active needle advancing in soft tissue. |
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| Authors: | Datla, Naresh V.1, Konh, Bardia1, Honarvar, Mohammad1, Podder, Tarun K.2, Dicker, Adam P.3, Yu, Yan3, Hutapea, Parsaoran1 hutapea@temple.edu |
| Source: | Medical Engineering & Physics. Mar2014, Vol. 36 Issue 3, p285-293. 9p. |
| Subjects: | Deflection (Light), Needles & pins, Soft tissue injuries, Targeted drug delivery, Imaging phantoms |
| Abstract: | Abstract: Active needles are recently being developed to improve steerability and placement accuracy for various medical applications. These active needles can bend during insertion by actuators attached to their bodies. The bending of active needles enables them to be steered away from the critical organs on the way to target and accurately reach target locations previously unachievable with conventional rigid needles. These active needles combined with an asymmetric bevel-tip can further improve their steerability. To optimize the design and to develop accurate path planning and control algorithms, there is a need to develop a tissue–needle interaction model. This work presents an energy-based model that predicts needle deflection of active bevel-tipped needles when inserted into the tissue. This current model was based on an existing energy-based model for bevel-tipped needles, to which work of actuation was included in calculating the system energy. The developed model was validated with needle insertion experiments with a phantom material. The model predicts needle deflection reasonably for higher diameter needles (11.6% error), whereas largest error was observed for the smallest needle diameter (24.7% error). [Copyright &y& Elsevier] |
| Copyright of Medical Engineering & Physics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 94897632 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A model to predict deflection of bevel-tipped active needle advancing in soft tissue. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Datla%2C+Naresh+V%2E%22">Datla, Naresh V.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Konh%2C+Bardia%22">Konh, Bardia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Honarvar%2C+Mohammad%22">Honarvar, Mohammad</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Podder%2C+Tarun+K%2E%22">Podder, Tarun K.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Dicker%2C+Adam+P%2E%22">Dicker, Adam P.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yu%2C+Yan%22">Yu, Yan</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Hutapea%2C+Parsaoran%22">Hutapea, Parsaoran</searchLink><relatesTo>1</relatesTo><i> hutapea@temple.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Engineering+%26+Physics%22">Medical Engineering & Physics</searchLink>. Mar2014, Vol. 36 Issue 3, p285-293. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Deflection+%28Light%29%22">Deflection (Light)</searchLink><br /><searchLink fieldCode="DE" term="%22Needles+%26+pins%22">Needles & pins</searchLink><br /><searchLink fieldCode="DE" term="%22Soft+tissue+injuries%22">Soft tissue injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Targeted+drug+delivery%22">Targeted drug delivery</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+phantoms%22">Imaging phantoms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Active needles are recently being developed to improve steerability and placement accuracy for various medical applications. These active needles can bend during insertion by actuators attached to their bodies. The bending of active needles enables them to be steered away from the critical organs on the way to target and accurately reach target locations previously unachievable with conventional rigid needles. These active needles combined with an asymmetric bevel-tip can further improve their steerability. To optimize the design and to develop accurate path planning and control algorithms, there is a need to develop a tissue–needle interaction model. This work presents an energy-based model that predicts needle deflection of active bevel-tipped needles when inserted into the tissue. This current model was based on an existing energy-based model for bevel-tipped needles, to which work of actuation was included in calculating the system energy. The developed model was validated with needle insertion experiments with a phantom material. The model predicts needle deflection reasonably for higher diameter needles (11.6% error), whereas largest error was observed for the smallest needle diameter (24.7% error). [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Engineering & Physics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.medengphy.2013.11.006 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 285 Subjects: – SubjectFull: Deflection (Light) Type: general – SubjectFull: Needles & pins Type: general – SubjectFull: Soft tissue injuries Type: general – SubjectFull: Targeted drug delivery Type: general – SubjectFull: Imaging phantoms Type: general Titles: – TitleFull: A model to predict deflection of bevel-tipped active needle advancing in soft tissue. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Datla, Naresh V. – PersonEntity: Name: NameFull: Konh, Bardia – PersonEntity: Name: NameFull: Honarvar, Mohammad – PersonEntity: Name: NameFull: Podder, Tarun K. – PersonEntity: Name: NameFull: Dicker, Adam P. – PersonEntity: Name: NameFull: Yu, Yan – PersonEntity: Name: NameFull: Hutapea, Parsaoran IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 13504533 Numbering: – Type: volume Value: 36 – Type: issue Value: 3 Titles: – TitleFull: Medical Engineering & Physics Type: main |
| ResultId | 1 |
