Medical Imaging and Information Sciences

[title in Japanese]

[in Japanese]

1984 Volume 1 Issue 1 Pages 2-8
Published: 1984
Released on J-STAGE: August 27, 2012

DOIhttps://doi.org/10.11318/mii1984.1.2

JOURNAL FREE ACCESS

Download PDF (1806K)
Density-Exposure Converting Curves and Micro-Blackness Characteristic in Radiological Domain

Suguru UCHIDA, Du-Yih TSAI, Katsuyuki KOJIMA

1984 Volume 1 Issue 1 Pages 9-15
Published: 1984
Released on J-STAGE: August 27, 2012

DOIhttps://doi.org/10.11318/mii1984.1.9

JOURNAL FREE ACCESS

Download PDF (1040K)
Evaluation of Images by Using Sequential Dependency

Suguru UCHIDA, Du-Yih TSAI, Katsuyuki KOJIMA

1984 Volume 1 Issue 1 Pages 16-21
Published: 1984
Released on J-STAGE: August 27, 2012

DOIhttps://doi.org/10.11318/mii1984.1.16

JOURNAL FREE ACCESS

Show abstractHide abstract

Evaluation of images by means of recognizability, which is independent of the techniques for physical image evaluation so far being used, is proposed. This evaluation method can he defined by extending one-dimensional sequential dependency in information theory to two-dimensional one. The present paper defines the strongness of sequential dependency and the magnitude of recognizability. By making use of this recognizability, quantitative evaluation of those images which may not be rationally evaluated by the conventional physical evaluations, such as modulation transfer function and Wiener spectrum, became possible to he made.

View full abstract

Download PDF (3633K)
Advanced Data Acquisition Methods for Quantitative Single Photon Emission CT

Kazuki SAKAMOTO, Nagaaki OHYAMA, Toshio HONDA, Jumpei TSUJIUCHI

1984 Volume 1 Issue 1 Pages 22-28
Published: 1984
Released on J-STAGE: August 27, 2012

DOIhttps://doi.org/10.11318/mii1984.1.22

JOURNAL FREE ACCESS

Show abstractHide abstract

This paper proposes some advanced data acquisition methods for the quantitative single photon emission CT. One example of such methods is the odd number angular sampling method over 360 degrees for a widely distributed object, and the other is fine angular sampling of 180 degrees For a localized small object. The image quality thus obtain such as the spatial resolution and the signal to noise ratio becomes better than that reconstructed from the conventional conjugate projection data. The reconstruction technique used in computer simulation is the iterated correction matrix method, but other techniques are also applicable. Comparison between the weighted back projection method and the correction matrix method is also presented

View full abstract

Download PDF (3614K)

Register with J-STAGE for free!