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IN2014CN04759A - - Google Patents

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Publication number
IN2014CN04759A
IN2014CN04759A IN4759CHN2014A IN2014CN04759A IN 2014CN04759 A IN2014CN04759 A IN 2014CN04759A IN 4759CHN2014 A IN4759CHN2014 A IN 4759CHN2014A IN 2014CN04759 A IN2014CN04759 A IN 2014CN04759A
Authority
IN
India
Prior art keywords
quality
set point
processing component
regularization
quality metric
Prior art date
Application number
Inventor
Frank Bergner
Bernhard Johannes Brendel
Thomas Koehler
Original Assignee
Koninkl Philips Nv
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninkl Philips Nv filed Critical Koninkl Philips Nv
Publication of IN2014CN04759A publication Critical patent/IN2014CN04759A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20004—Adaptive image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/424—Iterative

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Algebra (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Processing (AREA)

Abstract

A processing component (122) processes images based on an iterative reconstruction algorithm with regularization and/or de noising algorithm. The processing component includes a set point determiner (224) that determines a quality set point (216) between predetermined lower and upper quality bounds (226) based on a quality variable (228) indicative of an image quality of interest. The processing component further includes a comparator (214) that compares each processing iteration a quality metric of a current generated image with the quality set point and generates a difference value indicative of a difference between the quality metric and the quality set point. The processing component further includes a regularization factor updater (220) that generates an updated regularization factor for a next processing iteration based on a current value (222) of the regularization factor and at least the quality metric in response to the difference value indicating that the quality metric is outside of a predetermined range about the quality set point.
IN4759CHN2014 2011-12-13 2012-12-04 IN2014CN04759A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201161569835P 2011-12-13 2011-12-13
PCT/IB2012/056929 WO2013088294A1 (en) 2011-12-13 2012-12-04 Automatic determination of regularization factor for iterative image reconstruction with regularization and/or image de-noising

Publications (1)

Publication Number Publication Date
IN2014CN04759A true IN2014CN04759A (en) 2015-09-18

Family

ID=47520208

Family Applications (1)

Application Number Title Priority Date Filing Date
IN4759CHN2014 IN2014CN04759A (en) 2011-12-13 2012-12-04

Country Status (8)

Country Link
US (1) US9076191B2 (en)
EP (1) EP2748798B1 (en)
JP (1) JP6141313B2 (en)
CN (1) CN104025156B (en)
BR (1) BR112014014093A2 (en)
IN (1) IN2014CN04759A (en)
RU (1) RU2014128596A (en)
WO (1) WO2013088294A1 (en)

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US9911208B2 (en) * 2016-04-11 2018-03-06 Toshiba Medical Systems Corporation Apparatus and method of iterative image reconstruction using regularization-parameter control
EP3501006B1 (en) * 2016-08-22 2020-11-04 Koninklijke Philips N.V. Feature-based image processing using feature images extracted from different iterations
JP2020521961A (en) * 2017-06-02 2020-07-27 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． System and method for providing confidence values as a measure of quantitative assurance of iteratively reconstructed images with emission tomography
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CN107997780B (en) * 2018-01-19 2020-11-06 重庆大学 Cone beam CT instantaneous scanning device and reconstruction method
US20210049794A1 (en) * 2018-01-31 2021-02-18 Mitos Gmbh Method for image reconstruction of an object, in particular based on computed-tomography image reconstruction, and apparatus, system and computer program product for the same
CN112529796B (en) * 2020-12-02 2022-07-05 华北理工大学 A CNN medical CT image denoising method based on multi-feature extraction
KR102635483B1 (en) * 2021-10-07 2024-02-08 한국표준과학연구원 Deconvolution method for image observed in charged particle beam apparatus, image process apparatus and charged particle beam apparatus comprising image process apparatus
US20240331223A1 (en) * 2023-03-28 2024-10-03 GE Precision Healthcare LLC Systems and methods for automatic quality control of image reconstruction

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Also Published As

Publication number Publication date
JP6141313B2 (en) 2017-06-07
CN104025156A (en) 2014-09-03
BR112014014093A2 (en) 2017-06-13
EP2748798B1 (en) 2018-04-11
JP2015500118A (en) 2015-01-05
WO2013088294A1 (en) 2013-06-20
US9076191B2 (en) 2015-07-07
EP2748798A1 (en) 2014-07-02
RU2014128596A (en) 2016-02-10
CN104025156B (en) 2017-05-24
US20140348440A1 (en) 2014-11-27

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