Abstract:
PURPOSE:This study investigates an efficient (nearly real-time) two-stage spine labeling algorithm that removes the need for an external training while being applicable to different types of MRI data and acquisition protocols. METHODS:Based solely on the image being labeled (i.e., we do not use training data), the first stage aims at detecting potential vertebra candidates following the optimization of a functional containing two terms: (i) a distribution-matching term that encodes contextual information about the vertebrae via a density model learned from a very simple user input, which amounts to a point (mouse click) on a predefined vertebra; and (ii) a regularization constraint, which penalizes isolated candidates in the solution. The second stage removes false positives and identifies all vertebrae and discs by optimizing a geometric constraint, which embeds generic anatomical information on the interconnections between neighboring structures. Based on generic knowledge, our geometric constraint does not require external training. RESULTS:We performed quantitative evaluations of the algorithm over a data set of 90 mid-sagittal MRI images of the lumbar spine acquired from 45 different subjects. To assess the flexibility of the algorithm, we used both T1- and T2-weighted images for each subject. A total of 990 structures were automatically detected/labeled and compared to ground-truth annotations by an expert. On the T2-weighted data, we obtained an accuracy of 91.6% for the vertebrae and 89.2% for the discs. On the T1-weighted data, we obtained an accuracy of 90.7% for the vertebrae and 88.1% for the discs. CONCLUSION:Our algorithm removes the need for external training while being applicable to different types of MRI data and acquisition protocols. Based on the current testing data, a subject-specific model density and generic anatomical information, our method can achieve competitive performances when applied to T1- and T2-weighted MRI images.
journal_name
Int J Comput Assist Radiol Surgauthors
Hojjat SP,Ayed I,Garvin GJ,Punithakumar Kdoi
10.1007/s11548-017-1651-0subject
Has Abstractpub_date
2017-11-01 00:00:00pages
1911-1922issue
11eissn
1861-6410issn
1861-6429pii
10.1007/s11548-017-1651-0journal_volume
12pub_type
杂志文章abstract:PURPOSE:This paper presents a method to use the Smart Trocars-our new surgical instrument recognition system-or any accurate localization system of surgical instrument for acquiring intraoperative surface data. Complex laparoscopic surgeries need a proper guidance system which requires registering the preoperative data...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-017-1655-9
更新日期:2018-02-01 00:00:00
abstract::Prostate cancer (PCa) is the most frequent noncutaneous cancer in men. Early detection of PCa is essential for clinical decision making, and reducing metastasis and mortality rates. The current approach for PCa diagnosis is histopathologic analysis of core biopsies taken under transrectal ultrasound guidance (TRUS-gui...
journal_title:International journal of computer assisted radiology and surgery
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更新日期:2019-06-01 00:00:00
abstract:RATIONALE AND OBJECTIVES:The ultrasound B-mode-based morphological and texture analysis and Nakagami parametric imaging have been proposed to characterize breast tumors. Since these three feature categories of ultrasonic tissue characterization supply information on different physical characteristics of breast tumors, ...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-018-01908-8
更新日期:2019-04-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
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更新日期:2020-11-01 00:00:00
abstract:PURPOSE:This paper presents new quantitative data on a signal-to-noise ratio (SNR) study, distortion study, and targeting accuracy phantom study for our patient-mounted robot (called Arthrobot). Arthrobot was developed as an MRI-guided needle placement device for diagnostic and interventional procedures such as arthrog...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-018-1839-y
更新日期:2018-11-01 00:00:00
abstract:PURPOSE:The anterior cruciate ligament tear is a common medical condition that is treated using arthroscopy by pulling a tissue graft through a tunnel opened with a drill. The correct anatomical position and orientation of this tunnel are crucial for knee stability, and drilling an adequate bone tunnel is the most tech...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-019-02021-0
更新日期:2019-09-01 00:00:00
abstract:OBJECTIVE:By adding a tracking sensor to a 3D ultrasound (US) probe and thus locating the probe in space, new applications within the fields of image guided surgery and radiation therapy are possible. To locate the US volume in space, a calibration is necessary to determine the mathematical transformation for mapping p...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-008-0258-x
更新日期:2009-03-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-013-0944-1
更新日期:2014-07-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2014-03-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2015-02-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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doi:10.1007/s11548-017-1692-4
更新日期:2018-02-01 00:00:00
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doi:10.1007/s11548-020-02262-4
更新日期:2020-12-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2017-06-01 00:00:00
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pub_type: 杂志文章
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更新日期:2014-05-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-017-1521-9
更新日期:2017-04-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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doi:10.1007/s11548-016-1409-0
更新日期:2016-06-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-010-0425-8
更新日期:2010-07-01 00:00:00
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doi:10.1007/s11548-018-1798-3
更新日期:2018-09-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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doi:10.1007/s11548-016-1483-3
更新日期:2017-02-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2018-09-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2018-01-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-012-0690-9
更新日期:2012-11-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-013-0831-9
更新日期:2013-11-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-017-1527-3
更新日期:2017-12-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-018-1738-2
更新日期:2018-07-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
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更新日期:2010-01-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2020-05-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-015-1254-6
更新日期:2016-01-01 00:00:00
abstract:PURPOSE:Epilepsy is potentially curable with resective surgery if the epileptogenic zone (EZ) can be identified. If non-invasive imaging is unable to elucidate the EZ, intracranial electrodes may be implanted to identify the EZ as well as map cortical function. In current clinical practice, each electrode trajectory is...
journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
doi:10.1007/s11548-017-1628-z
更新日期:2017-08-01 00:00:00